Artificial Intelligence Based Diabetes Management System
|
|
- Clement Chase
- 5 years ago
- Views:
Transcription
1 Volume 118 No , ISSN: (on-line version) url: ijpam.eu Artificial Intelligence Based Diabetes Management System Sathyasri.B Assistant Professor, Department of Electronics and Communication Engineering, Vel Tech, Avadi Alamathi Road, Avadi, Tamil Nadu, India, Bhuvaneshwari.S, Deepika.M UG Scholar, Department of Electronics and Communication Engineering, Vel Tech, Avadi Alamathi Road, Avadi, Tamil Nadu, India, Abstract- This work presents a fresh ehealth stage incorporating humanoid machines to hold an emerging multidimensional attention method for the medicine of diabetes. In this manuscript donates a fresh e-health stage incorporating Raspberry pi ARM11 (BCM2837) processor to sustain an emerging multidimensional attention method for the medicine of diabetes. The design of the stage enlarges the Internet of Things (IOT) to a web-centric concept through using emerging web means to approach and restrain objects of the natural cover. This incorporates vessel networks, both of which includes a set of medicinal sensors correlated wirelessly to a humanoid machine related (via the Internet) to a web-centric disease management hub (DMH). This gives a set of services for mutually patients and their caregivers that carry the full range of the multidimensional attention method of diabetes. The display place s software architecture prototype enables the growth of several appliances without knowing low-level details of the stage. This is achieved through joining the approach interface and procedure of managing service applications through a coated method based on object virtualization and mechanized service release. A fully operating prototype is urbanized and its end-to end functionality and suitability are tested fruitfully through a clinician-led navigator study, given proof that both patients and caregivers are responsive to the initiation of the planned stage. Index terms: Disease Management Hub (DMH), Internet of Things (IOT), Transmitter (RF-TX), Receiver (RF-RX), Advanced RISC Machine [ARM11 Broad-Com (BCM2837) processor], Reduced Instruction Set Computer (RISC). I. Introduction Recent research on diabetes shows that it is increasing at an alarming rate. It also leads to many dangerous diseases such as Heart attacks, etc. It has been approximated that, over 422 million people have diabetes across the World. Among those countries, India ranks 3 rd Place. This is because it has poor facility of healthcare resources. As a result, there is an increasing demand on the number of healthcare resources in India, especially in rural places. Doctors were not be available 24*7 in those rural areas, so approaching towards technological advancements, Internet of Things[4] will lead to a best solution to provide a communication between doctor and patient at their places. It has been reported from various literature works, the model [1], [7] shows the possibility of using various sensors to measure various parameters in the body. It classifies all the wearable sensors that can give the exact result of the required parameters in the patient body. The method [3] implements robot as a personal device in monitoring a children continuously. The model [2] shows a robot is used as a personal assisting device to monitor diabetic children. The robot follows the child s regular activities and suggests certain advices to the child. The model [6] views about the ideas of storage of data, transferring of data. This model ensures various proposals towards advanced patient profile management system. The Efficient method of transferring of data [10] and communication can be done through Bluetooth, GSM. From the impacts of these author ideas, the proposed software model can be implemented in Government hospitals to avoid waiting for doctor consultation and standing in queues. This model benefits usage of wearable sensors to measure diabetes [8]. It also builds IOT as a major source of 2945
2 medium connecting doctor and patient through the separate server ID. This advanced model has included a secure data encryption model and supports for a high security to patient database. It can be used by multiple patients and it can be able to access multiple patients medical reports at the same time on the server side. This is due to the high capacity of storage specification. Thus it focuses on developing a smart healthcare centres approaching towards making Digital India. II.. Proposed Model Internet-of-Things (IOT)[5] is raising great demand and it is widely used in all over all fields of applications. Due to the high necessity in the health care domain, the proposed work implements IOT concept in the field of medicine [9]. The purpose of the work is to measure BP level and Blood Sugar level at regular interval and update it to the patient database and to the Doctor through Cloud Server. This work implements a new proposed model in the field of Tele-medicine for the purpose of checking the sugar level and pressure level for all diabetic patients in the hospitals. This model builds IOT based software architecture to establish e-health system, which has advanced patient profile management. The ARM11 (BCM2837) processor identifies each individual patient through a face recognition facility in the processor. This ensures that the patients profiles match the patient. Upon successful identification, the processor starts interacting with the Sensors and starts collecting the data from the sensors. If successful, the sensor values will be updated to the database at regular time intervals. The Processor compares the input values from the sensors with the preset threshold values. When it exceeds, it intimate with red coloured data values as well as to doctor through server. Then Processor will convey the suggestion from doctor through audio or visual message to the patients database and also via mail (or) SMS. The proposed model of e-health management system is shown in Fig.1 and Fig.2 below Fig.2 Schematic Diagram of RF-Receiver Section III. Required Specification The requirements were used to implement the software connecting the sensor details automatically to update to the patient medical database. It is the primary stage to take the patients face input for the security. The requirement covers a set of sensors which measures the accurate parameters of diabetic patients. DMH The DMH is called as the Disease Management Hub. It is a hardware kit which can be interfaced with software to provide a set of services between doctor and the patients. This DMH consists of a set of sensors depending on the patient necessity, which is connected to a processor. The proposed model shows a detailed overview of the software module of the patients database accurately. The purpose of the module is to provide an accurate transmission of medication results to the doctor through cloud server. In this prototype model, DMH has been implemented for the treatment of diabetes. A set of sensors namely BP sensor and Blood Glucose Sensor is connected to the ARM11 processor for efficient monitoring of diabetes. It also consists of a Camera for face recognition of various patients and to add their details. 3.1 ARM11 (BCM2837) Processor Fig.1 Schematic Diagram of RF-Transmitter Section Raspberry pi 3 is a single board computer and it supports Linux operating system. It runs at 1.2GHz. Its major connectivity is wireless LAN and Bluetooth which is used to support wireless connection of internet. It has Broadcom BCM bit CPU, 1GB RAM, 4 USB ports, 40 pin extended GPIO, Full size HDMI, 4 pole stereo output and video port. It consists of two interface ports: Camera Interface port (CSI) and Display 2946
3 interface port (DSI). Fig.3 Shows the ARM11 (BCM 2837) hardware board. fully inflated to this pressure, no blood flow occurs through the artery. As the cuff is deflated below the systolic pressure, the reducing pressure exerted on the artery allows blood to flow through it and sets up a detectable vibration in the arterial wall. The Blood Pressure Sensor used is shown in Fig.5 below. Fig.3 ARM11 (BCM2837) [Raspberry Pi 3] 3.2 Camera The Camera used in this model has a specification of USB 2.0 2M and resolution of 1600*1200.This module were connected to PC or mobile for image or video applications. It is built up with PCB layout, image processing circuit, a lens and a CMOS sensor. In this model, the Camera is interfaced with the ARM11 processor and it is used to add the face of the patient to their profile. It captures the image of the patient and sends the result to processor. Thus it is able to differentiate each individual patient. The Camera used is shown in Fig.4 below. Fig.4 Camera 3.3 BP Sensor Blood Pressure & Pulse reading are shown on display with serial out for external projects of embedded circuit processing and display shows Systolic, Diastolic and pulse readings. Compact design fits over your wrist like a watch. Easy to use wrist style eliminates pumping. When the cuff is Fig.5 Blood Pressure Sensor 3.4 Blood Glucose Sensor A Glucose meter is a medical device for determining the approximate concentration of glucose in the blood. It can also be a strip of glucose paper dipped into a substance and measured to the glucose chart. It is a key element of home blood glucose monitoring (HBGM) by people with diabetes mellitus. A small drop of blood, obtained by pricking the skin with a lancet, is placed on a disposable test strip that the meter reads and uses to calculate the blood glucose level. The meter then displays the level in units of mg/dl or mmol/l. Blood glucose monitoring is a way of testing the concentration of glucose in the blood. Particularly important in diabetes management, a blood glucose test is typically performed by piercing the skin (typically, on the finger) to draw blood, then applying the blood to a chemically active disposable 'test-strip'. Different manufacturers use different technology, but most systems measure an electrical characteristic, and use this to determine the glucose level in the blood. The test is usually referred to as capillary blood glucose. A blood glucose meter is an electronic device for measuring the blood glucose level. A relatively small drop of blood is placed on a disposable test strip which interfaces with a digital meter. Within several seconds, the level of blood glucose will be shown on the digital display. Needing only a small drop of blood for the meter means that the time and effort required for testing is reduced and the compliance of diabetic people to their testing regimens is improved. Although the 2947
4 cost of using blood glucose meters seems high, it is believed to be a cost benefit relative to the avoided medical costs of the complications of diabetes. The Blood Glucose Sensor used is shown in Fig.6 below. face data to the database of the patient. Fig.7 shows the pattern flow of the patient start up and interaction with the module. It first captures an image and it leads to recognition of image and then search for the exact match of the image with the patient profile gallery. Thus it leads to accurate profile matching technique. The steps of the patient face recognition is shown in Fig.8 below Fig.6 IV. Blood Glucose Sensor Software Implementation The proposed software architecture model maintains an accurate report of patient reporting the sensor data to the database and also to their caregivers. It focuses to fill the gap between existing system and future advancements in health care domain. This architecture also leads to maintain multiple patient medical details by using Raspberry pi processor. It can be used to maintain a large set of data in their memory. The Electronic/Mobile health management is becoming increasingly more popular because of its latest software protocol which is more beneficial in the health management. Fig.7 Flow Architecture of face recognition module 4.1 Face Recognition Module Face recognition is the process of identifying a person and compares with the best match for further process. It is important in image processing, security and surveillance, biometric, etc. First the image of the patient is captured using a camera which has an image processing circuit [2]. The Camera which is interfaced to the Raspberry Pi board captures the patients image and it is sent to processor. Based on the image acquired, it detects the face and matches profile of the respective patient with the existing face gallery. If the patients details exist it will open their medication table otherwise it will exit the location or request to add database. Thus, this module acts as a security source for each individual patient in the hospitals, since the respective person only can access their own profile. The doctor has also a password and another IP address to access the data. This module acts as the basic security key element which is used to identify multiple patients continuously based upon the previously updated Fig.8 Steps in Face Recognition 4.2 Patient s Database Upon successful identification of each individual patient, the database table is displayed for the corresponding patient. Using IOT system, it provides a separate IP address to create patient database structure and also it provides the ability to transfer the data over a network. It is created with the SQL Database language. Any new patient can 2948
5 easily add their details through accessing the IP address. The Existing Patient can update their profile automatically. A video demo is created to show all the procedures of using the software prototype of patient database. It consists of list of data ensuring the sensor details of the patient at different time intervals. Similarly it updates the health results automatically whenever the patient is accessing the sensors. The patient medical data can also be sent to their or SMS by creating a block in their data which is shown in Fig.10 below. The Sample database module of a patient is shown in Fig.9 below which has list of medical measurements, updated with time and date respectively. Fig.11 and Fig.12 displays a chart with respect to Blood Glucose Level and Blood Pressure Level with corresponding time and date. Fig.11 Chart of Glucose Level at Varying Time Intervals Fig.9 Sample Screenshot of Patient Database Fig.12 Chart displays Blood Pressure Level at Varying Time Intervals V. Conclusion Fig.10 Database sent through SMS or to the patient Thus the Proposed e-health care model using IOT would act as an efficient aid to sick peoples resulting to minimize queues in hospitals and also direct consultation with doctors. It also reduces the dependency on caretakers. Promoting to benefit for all classes of people, who can access the device through pre-registration process and patients can use it regularly to measure the BP level and Blood Sugar level and it prevents from taking to serious stage. It also has advanced patient profile management with secured encryption and decryption. Therefore it can be used as both a personal device all well as a common device, since it can allow multiple users. The proposal would also contribute to make smarter India because of the internet application needed thoroughly. 2949
6 VI. References [1]A. Mosenia,S.Sur- Kolay, A. Raghunathan and N.K. Jha, Wearable medical sensor - based System design : A survey, in IEEE Trans. Multi - Scale Computing Systems, vol.3, no.2, pp ,2017. [2] Majid A.Al- Taee, Waleed Al- Nuaimy, Zahra J. Muhsin, Ali Al- Ataby, Robot Assistant in Management of Diabetes in Children Based on The Internet of Things, IEEE Internet of Things Journal,2016. [3] M. A. Al- Taee, R. Kapoor, C. Garrett and P.Choudhary, Acceptability of robot assistant in self - management of type 1 diabetes in children, J. Diabetes Technology and Therapeutics,vol. 18,no. 9, 2016, pp [4]C. Sakar, S. N. A. U. Nambi, R.V. Prasad and A. Rahim, A Scalable distributed architecture towards unifying IOT applications, IEEE World Forum on Internet of Things, Seoul, 6-8 March 2014, pp [5]Van Nguyen and Audrey Gendreau, A Vision of a Future IoT Architecture Supporting Messaging, Storage, and Computation, International Journal of Future Computer and Communication, vol. 3, No. 6, Dec [6]M.Li,S.Yu,Y.Zheng,K.Ren&W.Lou, Scalable and secure sharing of personal health records in cloud computing using attribute - based encryption, IEEE Transactions on Parallel and Distributed Systems, 2013, vol. 24, no. 1, pp [7]Patel.S,Park.H Bonato.P, Chan.L, Rodgers.M, A review of wearable sensors and systems With application in rehabilitation Journal of Neuroeng Rehabilitation, 20 Apr [8]A.J. Jara, M.A. Zamora & A.F. Skarmeta, An internet of things-based personal device for diabetes therapy management in Ambient Assisted Living (AAL), Personal and Ubiquitous Computing,15(4),2011, [9]Istepanian RSH, Jara A, Sungoor A, Philips N, Internet of Things for M-health applications (IoMT), AMA IEEE medical Technology conference on individual health- Care, 2010, Washington. [10]J.S.Lee,Y.W.Su and C.C.Shen, A Comparative Study of wireless protocols: Bluetooth, uwb, Zigbee and wi-fi, Annual Conference of the IEEE Indust. Elect. Society, IECON 2007, Nov 2007, pp
7 2951
8 2952
AVR Based Gesture Vocalizer Using Speech Synthesizer IC
AVR Based Gesture Vocalizer Using Speech Synthesizer IC Mr.M.V.N.R.P.kumar 1, Mr.Ashutosh Kumar 2, Ms. S.B.Arawandekar 3, Mr.A. A. Bhosale 4, Mr. R. L. Bhosale 5 Dept. Of E&TC, L.N.B.C.I.E.T. Raigaon,
More informationSign Language Interpretation Using Pseudo Glove
Sign Language Interpretation Using Pseudo Glove Mukul Singh Kushwah, Manish Sharma, Kunal Jain and Anish Chopra Abstract The research work presented in this paper explores the ways in which, people who
More informationComputer Applications: An International Journal (CAIJ), Vol.3, No.1, February Mohammad Taye, Mohammad Abu Shanab, Moyad Rayyan and Husam Younis
ANYONE CAN TALK TOOL Mohammad Taye, Mohammad Abu Shanab, Moyad Rayyan and Husam Younis Software Engineering Department Information Technology Faculty Philadelphia University ABSTRACT People who have problems
More informationCHAPTER 6 DESIGN AND ARCHITECTURE OF REAL TIME WEB-CENTRIC TELEHEALTH DIABETES DIAGNOSIS EXPERT SYSTEM
87 CHAPTER 6 DESIGN AND ARCHITECTURE OF REAL TIME WEB-CENTRIC TELEHEALTH DIABETES DIAGNOSIS EXPERT SYSTEM 6.1 INTRODUCTION This chapter presents the design and architecture of real time Web centric telehealth
More informationDesign of Remote Monitoring System for the Detection of Vital Signs
www.ijraset.com Vol. 2 Issue IV, April 2014 ISSN: 2321-9653 Design of Remote Monitoring System for the Detection of Vital Signs Dernita Maria Nithya A 1, Samson Isaac J 2 Biomedical Instrumentation Department,
More informationDiabetic Ketoacidosis detection and Implementation with Internet Of Things
Volume 118 No. 20 2018, 125-130 ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Diabetic Ketoacidosis detection and Implementation with Internet Of Things 1 S.Shashank, 2 L.Naveenram,
More informationand Technology I. INTRODUCTION METHOD & MATERIAL
GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES CADID (CARDIAC DISEASES DETECTION) Geethu James 1, Amala Varghese 2, Ann Mariya Baby 3, Anu Varghese Kodiyan 4 & Binet Rose Devassy 5 1,2,3,4 Electronics
More informationReal-time Heart Monitoring and ECG Signal Processing
Real-time Heart Monitoring and ECG Signal Processing Fatima Bamarouf, Claire Crandell, and Shannon Tsuyuki Advisors: Drs. Yufeng Lu and Jose Sanchez Department of Electrical and Computer Engineering Bradley
More informationHealthcare Measurement of ECG and Body Temperature Signals Using Android Mobile
Healthcare Measurement of ECG and Body Temperature Signals Using Android Mobile V. Navaneethan 1 and R.Kavitha 2 1 M.E, IIISEM, Department of Software Engineering, 2 Assistant Professor, Department of
More informationTable of Contents. Contour Diabetes App User Guide
Table of Contents Introduction... 3 About the CONTOUR Diabetes App... 3 System and Device Requirements... 3 Intended Use... 3 Getting Started... 3 Downloading CONTOUR... 3 Apple... 3 Android... 4 Quick
More informationRASPBERRY PI BASED ECG DATA ACQUISITION SYSTEM
RASPBERRY PI BASED ECG DATA ACQUISITION SYSTEM Ms.Gauravi.A.Yadav 1, Prof. Shailaja.S.Patil 2 Department of electronics and telecommunication Engineering Rajarambapu Institute of Technology, Rajaramnagar
More informationA complete ecosystem of smart health devices
OUR SCOPE : CHRONIC DISEASES. A complete ecosystem of smart health devices Activity - Activity Tracker - Pulse oximeter Diabetes - Blood glucose meter - Test strips Overweight - Scale - Body analysis scale
More informationEmbedded Based Hand Talk Assisting System for Dumb Peoples on Android Platform
Embedded Based Hand Talk Assisting System for Dumb Peoples on Android Platform R. Balakrishnan 1, Santosh BK 2, Rahul H 2, Shivkumar 2, Sunil Anthony 2 Assistant Professor, Department of Electronics and
More informationHeart Attack Detection and Heart Rate Monitoring Using IoT
Heart Attack Detection and Heart Rate Monitoring Using IoT Nikunj Patel Princekumar Patel Nehal Patel BSTRACT Nowadays numerous persons are mislaying their life owing to heart attack and shortage of medical
More informationContour Diabetes app User Guide
Contour Diabetes app User Guide Contents iii Contents Chapter 1: Introduction...5 About the CONTOUR DIABETES app...6 System and Device Requirements...6 Intended Use...6 Chapter 2: Getting Started...7
More informationMake a Smart IT & BT Devices for Future Warning for Heart Failure, Hypoglycemia, and Hyperglycemia Smart Watch. LP Lab LP Watch
Index Technology Index Description Function of Hart attack Device Function of Hypoglycemia Device Abut Us Technology1 Technology2 Warning Sale Make a Smart IT & BT Devices for Future Warning for Heart
More informationEnhanced Asthma Management with Mobile Communication
Enhanced Asthma Management with Mobile Communication P.S. Ngai, S. Chan, C.T. Lau, K.M. Lau Abstract In this paper, we propose a prototype system to enhance the management of asthma condition in patients
More informationWelch Allyn ABPM 6100S. Comprehensive blood pressure monitoring that brings patient comfort home.
Welch Allyn ABPM 6100S Comprehensive blood pressure monitoring that brings patient comfort home. Features and Benefits of the Welch Allyn ABPM 6100S Pictorial application instructions, artery markers and
More informationThe Diabetic Breathalyzer. Group 13 Jon Brown Christine Sleppy Noah Spenser Edert Geffrard
The Diabetic Breathalyzer Group 13 Jon Brown Christine Sleppy Noah Spenser Edert Geffrard EE EE EE EE Project Motivation 29.1 million Americans have diabetes. Proper management of this disease requires
More informationA Review on Gesture Vocalizer
A Review on Gesture Vocalizer Deena Nath 1, Jitendra Kurmi 2, Deveki Nandan Shukla 3 1, 2, 3 Department of Computer Science, Babasaheb Bhimrao Ambedkar University Lucknow Abstract: Gesture Vocalizer is
More informationOmnitest : 2013
ISO 15197: 2013 Omnitest 3 Blood Glucose Monitoring System Omnitest 3 Could it be easier? After strip insertion, Omnitest 3 is ready for the measurement. The code is set automatically. Only 0.3 µl sample
More informationDiabetes Management App. Instruction Manual
Diabetes Management App Instruction Manual Accu-Chek Connect Diabetes Management App Overview The Accu-Chek Connect diabetes management app (hereafter referred to as the app) is designed to help you: Transfer
More informationA Portable Smart Band Implementation for Heart Patients in Critical Conditions
A Portable Smart Band Implementation for Heart Patients in Critical Conditions Supreeth Ravi 1, Student CSE Department PESIT Bangalore South Campus, Bangalore, Karnataka, India Aditi Anomita Mohanty 3,
More informationSmart Speaking Gloves for Speechless
Smart Speaking Gloves for Speechless Bachkar Y. R. 1, Gupta A.R. 2 & Pathan W.A. 3 1,2,3 ( E&TC Dept., SIER Nasik, SPP Univ. Pune, India) Abstract : In our day to day life, we observe that the communication
More informationLiteLink mini USB. Diatransfer 2
THE ART OF MEDICAL DIAGNOSTICS LiteLink mini USB Wireless Data Download Device Diatransfer 2 Diabetes Data Management Software User manual Table of Contents 1 Introduction... 3 2 Overview of operating
More informationShare/Follow. User Guide. A feature of Dexcom G5 Mobile CGM System
Share/Follow User Guide A feature of Dexcom G5 Mobile CGM System IMPORTANT USER INFORMATION Please review your product instructions before using your continuous glucose monitoring system. Contraindications,
More informationDetection and Recognition of Sign Language Protocol using Motion Sensing Device
Detection and Recognition of Sign Language Protocol using Motion Sensing Device Rita Tse ritatse@ipm.edu.mo AoXuan Li P130851@ipm.edu.mo Zachary Chui MPI-QMUL Information Systems Research Centre zacharychui@gmail.com
More informationUser Manual second language
User Manual second language GlucoTel Blood Glucose Monitoring and Diabetes Management System must be used with cell phones that have: Table of contents 2 3 Introduction 4 Bluetooth Wireless Technology
More informationA Healthcare on Demand Device by Using Internet of Things for Elderly Center
2017 3rd International Conference on Electronic Information Technology and Intellectualization (ICEITI 2017) ISBN: 978-1-60595-512-4 A Healthcare on Demand Device by Using Internet of Things for Elderly
More informationLiterature Review Aarthi Sivasankar
Literature Review Aarthi Sivasankar Table of Contents Importance of Blood Pressure How Blood Pressure Monitoring Devices Work Measurements Involved in Taking Blood Pressure Materials Needed for Taking
More informationISSN: [ ] [Vol-3, Issue-3 March- 2017]
A Smart Werable Device for Vocally Challenged People Using IoT Platform Dr. S. Jothi Muneeswari 1, K.Karthik 2, S. Karthick 3, R. Lokesh 4 1 ME, PhD, Professor Professor, Department of ECE, DMI College
More informationA non-invasive tongue controlled wireless assistive device for quadriplegics.
Biomedical Research 2018; 29 (8): 1626-1630 ISSN 0970-938X www.biomedres.info A non-invasive tongue controlled wireless assistive device for quadriplegics. Priyanka G, Pranitha N, Deepa Madathil, Vidhya
More informationSpeech to Text Wireless Converter
Speech to Text Wireless Converter Kailas Puri 1, Vivek Ajage 2, Satyam Mali 3, Akhil Wasnik 4, Amey Naik 5 And Guided by Dr. Prof. M. S. Panse 6 1,2,3,4,5,6 Department of Electrical Engineering, Veermata
More informationData Management System (DMS) User Guide
Data Management System (DMS) User Guide Eversense and the Eversense logo are trademarks of Senseonics, Incorporated. Other brands and their products are trademarks or registered trademarks of their respective
More informationTactile Internet and Edge Computing: Emerging Technologies for Mobile Health
Tactile Internet and Edge Computing: Emerging Technologies for Mobile Health Zaher Dawy, PhD Department of Electrical and Computer Engineering American University of Beirut http://www.aub.edu.lb/~zd03
More informationMeri Awaaz Smart Glove Learning Assistant for Mute Students and teachers
Meri Awaaz Smart Glove Learning Assistant for Mute Students and teachers Aditya C *1, Siddharth T 1, Karan K 1 and Priya G 2 School of Computer Science and Engineering, VIT University, Vellore, India 1
More informationIoT Platform Based Intelligent Medicinebox
IoT Platform Based Intelligent Medicinebox Ninu P.J. 1, Varun Kesav M.N. 2 M.Tech Student, Department of ECE, Vidya Academy of Science and Technology, Thrissur, Kerala, India 1 Assistant Professor, Department
More informationIntelligent Medicine Case for Dosing Monitoring and Support
The 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems October 18-22, 2010, Taipei, Taiwan Intelligent Medicine Case for Dosing Monitoring and Support Takuo Suzuki and Yasushi Nakauchi
More informationECG Signal Based Heart Disease Detection System for Telemedicine Application Using LabVIEW
ECG Signal Based Heart Disease Detection System for Telemedicine Application Using LabVIEW Dr. Channappa Bhyri 1, Nishat Banu A.M 2 2 Student, Dept. of Electronics and Industrial Instrumentation, PDACE,
More informationGesture Vocalizer using IoT
Gesture Vocalizer using IoT Deepa Haridas 1, Drishya M 2, Reshma Johnson 3, Rose Simon 4, Sradha Mohan 5, Linu Babu P 6 UG Scholar, Electronics and Communication, IES College of Engineering, Thrissur,
More informationSmart Gloves for Hand Gesture Recognition and Translation into Text and Audio
Smart Gloves for Hand Gesture Recognition and Translation into Text and Audio Anshula Kumari 1, Rutuja Benke 1, Yasheseve Bhat 1, Amina Qazi 2 1Project Student, Department of Electronics and Telecommunication,
More informationReal-time ECG monitoring system for the assessment of rural cardiac patients
Modelling, Measurement and Control C Vol. 79, No. 4, December, 2018, pp. 229-234 Journal homepage: http://iieta.org/journals/mmc/mmc_c Real-time ECG monitoring system for the assessment of rural cardiac
More informationInternational Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Vol 5, Issue 3, March 2018 Gesture Glove
Gesture Glove [1] Kanere Pranali, [2] T.Sai Milind, [3] Patil Shweta, [4] Korol Dhanda, [5] Waqar Ahmad, [6] Rakhi Kalantri [1] Student, [2] Student, [3] Student, [4] Student, [5] Student, [6] Assistant
More informationAbbott FreeStyle Libre Pro System
, the Professional CGM Abbott FreeStyle Libre Pro Reader Kit includes: Reader, USB cable, interactive tutorial on USB, and power adapter, user s manual, Quick Start Guide, Quick Reference Guide Kit includes:
More informationOneTouch Reveal Web Application. User Manual for Healthcare Professionals Instructions for Use
OneTouch Reveal Web Application User Manual for Healthcare Professionals Instructions for Use Contents 2 Contents Chapter 1: Introduction...4 Product Overview...4 Intended Use...4 System Requirements...
More informationA MODULAR APPROACH TO DIABETIC EXAMINATION WITH ALERT SYSTEM BASED ON
PROJECT SYNOPSIS 1. Title of the project with Project proposal reference number: A MODULAR APPROACH TO DIABETIC EXAMINATION WITH ALERT SYSTEM BASED ON IoT (40S_BE_2022). 2. Name of the College & Department:
More informationAn IoT-based Drug Delivery System for Refractory Epilepsy
An IoT-based Drug Delivery System for Refractory Epilepsy M. A. Sayeed 1, S. P. Mohanty 2, E. Kougianos 3, and H. Zaveri 4 University of North Texas, Denton, TX, USA. 1,2,3 Yale University, New Haven,
More informationSituation Reaction Detection Using Eye Gaze And Pulse Analysis
Situation Reaction Detection Using Eye Gaze And Pulse Analysis 1 M. Indumathy, 2 Dipankar Dey, 2 S Sambath Kumar, 2 A P Pranav 1 Assistant Professor, 2 UG Scholars Dept. Of Computer science and Engineering
More informationJournal of Faculty of Engineering & Technology DESIGN AND IMPLEMENTATION OF A WEARABLE HEALTH DEVICE
PAK BULLET TRAIN (PBT) JFET 22(2) (2015) 39-44 Journal of Faculty of Engineering & Technology journal homepage: www.pu.edu.pk/journals/index.php/jfet/index DESIGN AND IMPLEMENTATION OF A WEARABLE HEALTH
More informationA Simple Portable ECG Monitor with IOT
A Simple Portable ECG Monitor with IOT R. H. Sayyed 1, Maqdoom Farooqui 2, A. R. Khan 3 and Gulam Rabbani 4 Asso. Prof, Department of Electronic Science, Abeda Inamdar Sr. College, Pune, India 1 Principal,
More informationAn Edge-Device for Accurate Seizure Detection in the IoT
An Edge-Device for Accurate Seizure Detection in the IoT M. A. Sayeed 1, S. P. Mohanty 2, E. Kougianos 3, and H. Zaveri 4 University of North Texas, Denton, TX, USA. 1,2,3 Yale University, New Haven, CT,
More informationInternet Hub WLAN/3G/4G. Internet Cloud. Figure 1: U-Healthcare system overview
Extending Battery Life of Wireless medical devices are becoming increasingly more prevalent for remotely monitoring and logging vital signs to assist in the detection and treatment of diseases and medical
More informationBlood Pressure Estimation Using Photoplethysmography (PPG)
Blood Pressure Estimation Using Photoplethysmography (PPG) 1 Siddhi Sham Karande, BE E&TC, VIIT Pune. 2 Kiran Rajendrasingh Thakur, BE E&TC, VIIT Pune. 3 Sneha Dattatraya Waghmare, BE E&TC, VIIT Pune 4
More informationAndroid based Monitoring Human Knee Joint Movement Using Wearable Computing
Android based Monitoring Human Knee Joint Movement Using Wearable Computing Abstract In today s fast moving lifestyle, incidents regarding health issues are surfacing every day. One of the major issues
More informationA Telematic System for Diabetes Management, Reporting and Patient Advice
The Journal on Information Technology in Healthcare 2005; 3(5): 307 313 A Telematic System for Diabetes Management, Reporting and Patient Advice Dimitra Iliopoulou*, Kostas Giokas*, Stavroula Mougiakakou,
More informationContinuous Monitoring of Blood Pressure Based on Heart Pulse Analysis
Journal of Physics: Conference Series PAPER OPEN ACCESS Continuous Monitoring of Blood Pressure Based on Heart Pulse Analysis To cite this article: Valerie Tan et al 2018 J. Phys.: Conf. Ser. 1049 012062
More informationWireless sensors and lifestyle
Wireless sensors and lifestyle Per Hasvold Administrative Leader Tromsø Telemedicine Laboratory CRI Norwegian Centre for Telemedicine CyberNINA (1999) John 44 years Overweight Risk of diabetes and cardiovascular
More informationIMPLEMENTATION OF PROTOTYPE FOR DETECTION AND MANAGEMENT OF DIABETES USING ANDROID MOBILE PHONE APPLICATION AND RULE BASE SYSTEM
IMPLEMENTATION OF PROTOTYPE FOR DETECTION AND MANAGEMENT OF DIABETES USING ANDROID MOBILE PHONE APPLICATION AND RULE BASE SYSTEM ABSTRACT Prof. Aihtesham N. Kazi 1, Prof. Amit R. Wasukar 2, Prof. Chetan
More informationA Smartphone-based Wellness Assessment Using Mobile Sensors
A Smartphone-based Wellness Assessment Using Mobile Sensors Katherine McLeod, Liudmyla Girchenko, Peter Spenler, and Petros Spachos School of Engineering, University of Guelph Guelph, ON, N1G 2W1, Canada
More informationImplementing a Modern NDT Inspection Program Utilizing Connected Instruments and Cloud Software Solutions
Implementing a Modern NDT Inspection Program Utilizing Connected Instruments and Cloud Software Solutions Dianne Hillhouse Business Development Manager Oil/Gas/Chemical Market Olympus Scientific Solutions
More informationTowards Developing Online Compliance Index for Self-Monitoring of Blood Glucose in Diabetes Management
2016 9th International Conference on Developments in esystems Engineering Towards Developing Online Compliance Index for Self-Monitoring of Blood Glucose in Diabetes Management Ahmad M. Al-Taee 1, Anas
More informationHaptic Based Sign Language Interpreter
Haptic Based Sign Language Interpreter Swayam Bhosale 1, Harsh Kalla 2, Kashish Kitawat 3, Megha Gupta 4 Department of Electronics and Telecommunication,, Maharashtra, India Abstract: There is currently
More informationWrist Energy Fuzzy Assist Cancer Engine WE-FACE
Wrist Energy Fuzzy Assist Cancer Engine WE-FACE Sharmila Begum M sharmilagaji@gmail.com, Assistant Professor, Periyar Maniammai University, Thanjavur, Tamil Nadu. Nivethitha S nivethithasomu@gmail.com
More informationNEW TECHNOLOGIES FOR MANAGING DIABETES ANGELA THOMPSON DNP, FNP-C, BC-ADM, CDE, FAANP
NEW TECHNOLOGIES FOR MANAGING DIABETES ANGELA THOMPSON DNP, FNP-C, BC-ADM, CDE, FAANP No commercial support or sponsorship was received for this project I have nothing to disclose OBJECTIVES Identify at
More informationBBB_company Brief_2018
BBB_company Brief_2018 BBB Tech creates affordable blood-testing technologies with mobile-enabled tools and data insights. BBB History 2017. 11 Launched elemark TM dual check in Korea 2017. 08 Signed OEM
More informationPortable Healthcare System with Low-power Wireless ECG and Heart Sounds Measurement
Portable Healthcare System with Low-power Wireless ECG and Heart Sounds Measurement Yi-Hsuan Liu, Yi-Ting Lee, and Yu-Jung Ko Department of Electrical Engineering, National Tsing Hua University, Hsinchu,
More informationNokia BPM. Blood Pressure - Heart rate Measurement. Installation and Operating Instructions EN - 1. Nokia BPM. v2.0 January 2018
Blood Pressure - Heart rate Measurement Installation and Operating Instructions EN - 1 Table of Contents Minimum Requirements...4 Smartphone or Device... 4 OS version... 4 Description...5 Overview... 5
More informationCS 2310 Software Engineering Final Project Report. Arm Motion Assessment for Remote Physical Therapy Using Kinect
I. Introduction & Motivation CS 2310 Software Engineering Final Project Report Arm Motion Assessment for Remote Physical Therapy Using Kinect Kinect based remote physical therapy systems are becoming increasingly
More informationDesign of Insulin Watch
Tentative design Our system is composed of two components: a portable insulin watch and a notepad sized device. Insulin Watch: The portable insulin watch provides the following functionalities: 1) Blood
More informationDESIGN OF AUTOMATIC INSULIN DOSAGE INDICATOR FOR DIABETIC PATIENTS USING BMI
DESIGN OF AUTOMATIC INSULIN DOSAGE INDICATOR FOR DIABETIC PATIENTS USING BMI Ms. R. Kanimozhi PG Scholar Dr. S. Saravanakumar Assistant Professor Department of Electronics and Communication Engineering,
More informationFUTURE SMART ENERGY SOFTWARE HOUSES
FUTURE SMART ENERGY SOFTWARE HOUSES Futures Conference 2018 Petri Kettunen & Niko Mäkitalo Matemaattis-luonnontieteellinen Department of Computer Science tiedekunta Petri Kettunen & Niko Mäkitalo 14/06/2018
More informationFall Detection and Monitoring System For Elderly Person
Fall Detection and Monitoring System For Elderly Person Snehal S. Chougule 1 and Prof. A. B. Kanwade 2 1 Department of Electronics and Telecommunication Engineering SITS, Narhe, Pune-41 2 Savitribai Phule
More informationUser Manual CentrePoint Data Hub
User Manual CentrePoint Data Hub CentrePoint Data Hub Revision: 0 Released: 07//07 User Manual CentrePoint Data Hub CentrePoint Data Hub Revision: 0 Released: 07//07 Contents Overview Getting Started Assigning
More informationHIWIN Thesis Award 2007
HIWIN Thesis Award 2007 Optimal Design Laboratory & Gerontechnology Research Center Yuan Ze University Physical Activity Physical activity can be regarded as any bodily movement or posture produced by
More informationVITAL SIGNS MONITORING. RVS-100/200 ri-vital. Vital Signs Patient Monitors
VITAL SIGNS MONITORING RVS-100/200 ri-vital Vital Signs Patient Monitors RVS-100 ADVANCED VITAL SIGNS MONITOR The RVS-100 is an advanced vital signs monitor which offers pulse oximetry, blood pressure
More informationCompetitive Intelligence Report Technology & Patents
Competitive Intelligence Report Technology & Patents N o n i n v a s i v e d i a b e t e s m o n i t o r i n g 01 November - 15 November, 2018 7 Published Granted Inactive 5 8 0 25 2 1 Start ups Companies
More informationResearch Article Advanced Pulse Oximetry System for Remote Monitoring and Management
Hindawi Publishing Corporation Journal of Biomedicine and Biotechnology Volume 2012, Article ID 930582, 8 pages doi:10.1155/2012/930582 Research Article Advanced Pulse Oximetry System for Remote Monitoring
More informationFigure 2.1: Glucose meter
CHAPTER TWO: MONITORING TECHNOLOGIES 2.1 Introduction Glucose monitoring is a method of self-testing glucose (blood sugar) levels for the management of diabetes. Traditionally, it involves pricking the
More informationInternational Journal of Advance Engineering and Research Development. Gesture Glove for American Sign Language Representation
Scientific Journal of Impact Factor (SJIF): 4.14 International Journal of Advance Engineering and Research Development Volume 3, Issue 3, March -2016 Gesture Glove for American Sign Language Representation
More informationMonitoring of Blood Glucose Level
University of Zagreb Faculty of Electrical Engineering and Computing Biomedical instrumentation Monitoring of Blood Glucose Level Biomedical instrumentation 1/17 Outline Introduction Principles of Blood
More informationSmart Dress(Shirt/Band) Hospital Application (Cardiac Disorder Detection Remotely)
ISSN 2394-3777 (Print) Smart Dress(Shirt/Band) Hospital Application (Cardiac Disorder Detection Remotely) Akilesh Kumar P, UG Student, Dept. Of RAE, PSG College of Technology,akileshkumar@icloud.com C.S.Sundar
More informationLBL Rev 001. School Guide
School Guide LBL015393 Rev 001 Introduction Welcome to the Dexcom G5 Mobile Continuous Glucose Monitoring (CGM) School Guide. The purpose of this guide is to define CGM, explore the differences between
More informationANDROID APPLICATION BASED LIVE HEALTH CARE MONITORING SYSTEM
ANDROID APPLICATION BASED LIVE HEALTH CARE MONITORING SYSTEM Yuvaraju.M Assistant Professor, Department of EEE, Anna university Regional campus, Coimbatore, TamilNadu, India. Email: rajaucbe@gmail.com
More informationVHDL implementation of Neuron based classification for future artificial intelligence applications
VHDL implementation of Neuron based classification for future artificial intelligence applications 1Reasearch Scholar, Deptof ECEAURORAEngineering College, Hyderabad,India. 2Assoc Prof,Dept of ECE AURORA
More informationDISCOVER THE POWER OF CONNECTION MINIMED 640G
DISCOVER THE POWER OF CONNECTION MINIMED 640G INSULIN PUMP THERAPY CHANGING LIVES TODAY Has your child just been diagnosed with insulin dependent diabetes? Or perhaps they ve been on multiple daily injection
More informationKinect Based Edutainment System For Autistic Children
Kinect Based Edutainment System For Autistic Children Humaira Rana 1, Shafaq Zehra 2, Almas Sahar 3, Saba Nazir 4 and Hashim Raza Khan 5 12345 Department of Electronics Engineering, NED University of Engineering
More informationSoftware Version 1.0. User s Manual
Software Version 1.0 User s Manual Table of Contents Contents 0 Important Information about Your FreeStyle Libre software...1 Intended Use...1 System Requirements...1 Customer Service...1 Getting to Know
More informationAssistant Professor, PG and Research Department of Computer Applications, Sacred Heart College (Autonomous), Tirupattur, Vellore, Tamil Nadu, India
International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2018 IJSRCSEIT Volume 3 Issue 7 ISSN : 2456-3307 Collaborative Learning Environment Tool In E-Learning
More informationPeople with type 1 diabetes and Do It Yourself (DIY) technology solutions ABOUT THIS POSITION STATEMENT
Position Statement People with type 1 diabetes and Do It Yourself (DIY) technology solutions ABOUT THIS POSITION STATEMENT Diabetes Australia believes that people with diabetes should have choice and access
More informationRe: ENSC 370 Project Gerbil Functional Specifications
Simon Fraser University Burnaby, BC V5A 1S6 trac-tech@sfu.ca February, 16, 1999 Dr. Andrew Rawicz School of Engineering Science Simon Fraser University Burnaby, BC V5A 1S6 Re: ENSC 370 Project Gerbil Functional
More informationWireless Blood Pressure Monitor
Wireless Blood Pressure Monitor Blood Pressure - Heart rate Measurement Installation and Operating Instructions (ios users) EN - 1 Table of Contents Minimum Requirements...4 Smartphone or Device...4 OS
More informationVirtual Sensors: Transforming the Way We Think About Accommodation Stevens Institute of Technology-Hoboken, New Jersey Katherine Grace August, Avi
Virtual Sensors: Transforming the Way We Think About Accommodation Stevens Institute of Technology-Hoboken, New Jersey Katherine Grace August, Avi Hauser, Dave Nall Fatimah Shehadeh-Grant, Jennifer Chen,
More informationData Management System (DMS) User Guide
Data Management System (DMS) User Guide Eversense and the Eversense logo are trademarks of Senseonics, Incorporated. Other brands and their products are trademarks or registered trademarks of their respective
More informationEvolve 3 & 5 Service Manual
Evolve 3 & 5 Service Manual 1 Product Browse 2 Contents CHAPTER 1: SERIAL NUMBER LOCATION... 5 CHAPTER 2: CONSOLE INSTRUCTIONS 2.1 Console Overview... 6 2.1.1 Evolve 3 Console Overview... 6 2.1.2 Evolve
More informationUser s Manual Blood Glucose Meter
User s Manual Blood Glucose Meter This file may not print or view at 100%. Die lines and color breaks do not print. Holding Area text, box and rules do not print. Roche USA 54082 V2/1 07790953001 07790953001(01)
More informationConnected to my Health
Connected to my Health Paris, France I have been manufacturing medical devices for over 20 years. With ihealth, I wanted to move away from making basic medical devices to make devices that would help people
More informationBC380. The New Standard in Body Composition Analysis BODY COMPOSITION ANALYZER
www.accuniq.com BC380 The New Standard in Body Composition Analysis BODY COMPOSITION ANALYZER Multi-Frequency Segmental Body Composition Analysis using BIA Technology 02 Product Introduction ACCUNIQ BC380
More informationBiomedical Instrumentation E. Blood Pressure
Biomedical Instrumentation E. Blood Pressure Dr Gari Clifford Adapted from slides by Prof. Lionel Tarassenko Blood pressure Blood is pumped around the body by the heart. It makes its way around the body
More informationDesign and Development of Non-Invasive Kiosk for Self-Care Health Management
Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 13, Number 9 (2017), pp. 4787-4794 Research India Publications http://www.ripublication.com Design and Development of Non-Invasive
More informationSet-up and special features
Set-up and special features Set Time 2 : 45 Set Date 23 Apr 202 Choose to keep your Verio IQ simple or customise it to your desire with its various features Alerts On Of f Please set with care. In the
More information