Biomedical Engineering laboratory - research topics

Transcription

1 Biomedical Engineering laboratory - research topics Maayan Ventures & BME Biomedical Engineering Knowledge Center 20. February 2008.

2 Background Biomedical Engineering: started in 1995 Host institute: BME (Faculty of Electrical Eng. and Information Sciences) Participants: Semmelweis University of Budapest Szent István University (Veterinary Sciences) Main laboratory of Biomedical Engineering Education and Research 2

3 Education MSc on Biomedical Engineering semesters (3 years) new students each year graduations per year PhD on Biomedical Engineering 3-4 years after MSc on BE PhD courses since PhD students per year 3

4 Research International projects Collaboration with different universities (TU Munich, City Univ. London, Sapientia Univ. Romania) IncoCopernicus: 6 countries (patient monitoring system) STOLPan: intelligent mobile applications National projects Jedlik A.: Multimodal imaging (PET-CT) RET: Human factor in controlled vehicle systems OTKA-NKTH projects 4

5 Contents Robust Control of Type I Diabetes Cardiovascular risk estimation - infant obesity ECG processing and compression Dynamic heart modeling Medical image processing Virtual Endoscope Acoustic diagnosis of infant cry 5

6 Research topic no. 1 Robust Control of Type I Diabetes Responsible persons: Dr. Zoltán Benyó Levente Kovács Involved partners BME Biomedical Engineering lab. Heim Pál Children Hospital, Pediatric Department 6

7 Presentation Glucose sensor (MiniMed, Glucowatch); Insulin pump, (MiniMed, Disetronic); Control algorithm. 7

8 Presentation Glucose sensor (MiniMed, Glucowatch); Insulin pump, (MiniMed, Disetronic); Control algorithm.

9 Presentation Glucose sensor (MiniMed, Glucowatch); Insulin pump, (MiniMed, Disetronic); Control algorithm.

10 Presentation Glucose sensor (MiniMed, Glucowatch); Insulin pump, (MiniMed, Disetronic); Control algorithm.

11 Presentation Glucose sensor (MiniMed, Glucowatch); Insulin pump, (MiniMed, Disetronic); Control algorithm.

12 Description Main goal Robust optimal control of Type I diabetes (optimizing insulin level) Personalize the insulin pumps with robust control algorithms Main steps Robust control methods (H, µ-synthesis, LPV) Simulation on general diabetic model Involving diabetic patients with insulin pumps Applying robust control algorithm on patients (with dialectologist supervision) 12

13 Results 13

14 Research topic no. 2 Cardiovascular risk estimation (infant obesity) Responsible persons: Dr. Zoltán Benyó Dr. Balázs Benyó Levente Kovács dr. Zsuzsa Almássy Involved partners BME Biomedical Engineering lab. Heim Pál Children Hospital, Pediatric Department 14

15 Presentation Main goal conceptualize and implement a simple measurement method determining the atherogen fat mass of infants give a risk estimation of cardiovascular problems Main steps measurements on infants (anthropometry, blood sample, bioimpedance (InBody), MRI, DXA) mathematical statistics methods classification target population: Hungarian children 15

16 Results 16

17 Research topic no. 3 ECG processing and compression Responsible persons: Dr. Zoltán Benyó Sándor Miklós Szilágyi Involved partners BME Biomedical Engineering lab. Sapientia University, Romania 17

18 Presentation Main goal Adaptive processing of the measured ECG signal using an iterative wave-processing method Efficient compression of the multi-lead ECG recordings Clinical validation of the obtained results based-on large measurement databases Telemedicine systems Enhanced human-computer interaction 18

19 Description Main steps Iterative recognition of the studied waveforms Real-time development of the general and patient-based wavecode database (R, T, P, ) Development of a patient behavior-based robust compression method to reach a good balance among proper signal quality for diagnosis and high compression rate Formulation of the studied medical information using engineering expressions Clinical validation 19

20 Results 20

21 Research topic no. 4 Dynamic heart modeling Responsible persons: Dr. Zoltán Benyó Sándor Miklós Szilágyi Involved partners BME Biomedical Engineering lab. Sapientia University, Romania 21

22 Presentation The problem of forward and inverse echocardiography Dynamic heart model Generated ECG Measured ECG 22

23 Description Main goal Simulation in real-time various pathological phenomena, such as the life threatening ventricular fibrillation Generation of simulated multi-lead ECG signal for validation purposes Main steps Massively parallelized dynamic heart modeling Reconstruction of the spatio-temporal heart movement using simultaneously recorded echocardiographic images and ECG Efficient localization of accessory pathways in presence of WPW syndrome (clinical validation) 23

24 Results Depolarization times: forward view Repolarization times: forward view 24

25 Research topic no. 5 Virtual Endoscope Responsible persons: Dr. Zoltán Benyó László Szilágyi Involved partners BME Biomedical Engineering lab. Sapientia University, Romania 25

26 Presentation Main goal visualize in 3D the interior structure of the human body without actual penetration based on 2D images created with medical imaging techniques Main steps Image filtering (impulse and Gaussian noises, intensity inhomogeneity) Image registration and segmentation 3D surface reconstruction Interactive 3D visualization 26

27 Results Filtering and segmentation 3D surface reconstruction 27

28 Research topic no. 6 Acoustic diagnosis of infant cry Responsible persons: Dr. Zoltán Benyó György Várallyay András Illényi Levente Kovács Involved partners BME Biomedical Engineering lab. BME TMIT (Telecomm. & Media Informatics) Heim Pál Children Hospital, Ear-Nose-Throat Dept. 28

29 Presentation Main goal find new connections between illnesses and the infant cry develop a device capable to analyze crying and giving help in diagnostics Main steps Data processing Signal processing Visualizing the melody contour of crying sounds Classification 29

30 Data collection INFANT SOUND RECORDING HEARING TEST WAV file DATABASE Acoustic signal analysis PRE- PROCESSING SIGNAL ANALYSIS PARAMETERS of CRYING 30

31 Results 1 Sample cry (IJK wav) rel. amplitude time (s) Yellow: recording; Red: energy detection; Green: detected crying 31

32 Results 1 Sample cry (IJK wav) rel. amplitude time (s) Yellow: recording; Red: energy detection; Green: detected crying

33 Results 1 Sample cry (IJK wav) rel. amplitude time (s) Yellow: recording; Red: energy detection; Green: detected crying

34 Results Each crying sample has a separate melody 1 Sample cry (IJK wav) rel. amplitude time (s) Yellow: recording; Red: energy detection; Green: detected crying

35 Results 35

36 Analysis In the time domain: Duration of crying, average times, etc. In the frequency domain (FFT): Fundamental frequency Special freq. components Formant structure, etc. In both domains: Melody contour, etc. 36

37 Obtained parameters Healthy infants 0-10 db ± s 2.61 ± 1.61 s 412 ± 51 Hz 2 All types ± s Hearing Average duration Average pause Average F 0 Median F dom /F 0 Melody types Avg. rising time Deaf infants >60 db ± s 2.91 ± 2.15 s 453 ± 45 Hz 3 All types ± s 37

38 Thank you for your attention!