Hyung Gi Byun 1, Chong Yun Kang 2, and Hae Ryong Lee 3

Transcription

1 Hyung Gi Byun 1, Chong Yun Kang 2, and Hae Ryong Lee 3 1 Div. of Electronics, Information & Communication Eng. Kangwon National University, Korea 2 Center for Electronics Materials, Korea Institute of Science & Technogy (KIST), Korea 3 SW-Contents Research Lab. Electronics & Telecommunication Research Institute (ETRI), Korea

2 Contents Introduction Work we are doing - Exhale Breath Analysis based on Chemical Sensors Array - Data Analysis for Chemical Sensors Array Work we want collaborating

3 Introduction Image from ibmcai.com, The next phase of the Internet: The Internet of Things IoT - Connecting people to physical things and also among the physical things, all in real time. IBM data source (IDC) has estimated that by 2020 there will be 30 billion internet-connected and sensor-enabled objects.

4 Introduction Toxicology space Military Chemical Sensors Industrial processes Bio-Medicine Environmental monitoring Source at google image

5 Introduction IoT with Chemical Sensors Array IoT(Internet of Things) Multiple technologies including Chemical Sensors Array Embedded System Embedded SW The Internet Real-time analytics based on Machine Learning Communication

6 Work we are doing (I) Exhale Breath Analysis based on Chemical Sensors Array

7 Exhale Breath Analysis (I) Control : 0.51 ±0.1 ppmv Patient : 2.35±0.2 ppmv Diabetes patient Control Reference C. Deng et al. / J. Chromatogr. B 810 (2004) J. Breath Res. 7 (2013) Ambient air

8 Exhale Breath Analysis (II) Sensor Array Chamber Sample Delivery using SPME

9 Exhale Breath Analysis (III) Breath Collection Breath Sampling Breath Delivery X 10 SPME fiber Identification Breath test

10 Blood Test (IRB: No. DSMC ) PLT (x10^3/ul) Glucose (mg/dl) BUN (md/dl) T.Bilirubin (mg/dl) ALP (U/L) AST (U/L) ALT (U/L) HbA1C (%) Standard for Diagnosis 130~400 <100 5~23 0.3~1.0 66~220 0~35 0~35 <6 Average of Control Average of Diabetes BST(blood sugar test) PLT(platelet) Glucose BUN(blood urine nitrogen) T.Bilirubin ALP(alkaline Phosphatase) AST(Alanine aminotransferase) ALT(Aspartate aminotransferase) HbA1C: glycated haemoglobin glicose 10

11 Exhale Breath Analysis (IV) PLT (x10^3/ul Glucose (mg/dl) BUN (md/dl) T.Bilirubin (mg/dl) ALP (U/L) AST (U/L) ALT (U/L) Healthy_ No Healthy_ No HbA1C (%) PLT (x10^3/ul Glucose (mg/dl) BUN (md/dl) T.Bilirubin (mg/dl) ALP (U/L) AST (U/L) ALT (U/L) DiabetesNo HbA1C (%) DiabetesNo

12 Exhale Breath Analysis (V) Embeded H/W sample r Touch Screen LCD Battery Sensor Array Embeded S/W Portable E-Nose applicable to IoT

13 Work we are doing (II) Data Analysis for Chemical Sensors Array Sensor 0 Knowledge Base Sensor 1 Gases (Odors) Sampling System Signal Processing Electronics Array processor PARC Engine Sensor N Classifier Outputs

14 Radial Basis Function Network Classifier (I) Training Phase Target label d i Measure System Centers, Widths W y i Output - Sensor Array Test Phase RBFN Algorithm Error Measure System Centers, Widths W y i Output Sensor Array RBFN

15 Radial Basis Function Network Classifier (II)

16 Drift Compensation based on RRFN (I) Target label d i Sensor Array Odor Sensing System Centers, Widths RBFN Training Phase W Algorithm y i Output Error - Sensor Array Odor Sensing System Centers, Widths RBFN Test Phase W y i Output PDF distance Minimization Criterion

17 Output (8 gases) Output (8 gases) Drift Compensation based on RRFN (II) Drifted Trained Drifted Compensated Patterns Patterns

18 HCHO Toluene Ammonia Identification & Concentration Estimation Using AI(I) System Reference single gas data Regression equation for each single gas Convolution Single gas Mixture gas HCHO 0.4 ppm + Toluene 0.3 ppm + Ammonia 0.3 ppm Sensor TGS2602, TGS2603, TGS2620, HCHO Artificial neural network TGS2602 Equation = intercept + ln(x) Training Synthetic mixture gas data HCHO (ppm) HCHO (ppm) 0.37 E-Nose TGS2603 Toluene (ppm) Toluene (ppm) 0.28 TGS2620 Ammonia (ppm) Ammonia (ppm) 0.33 mhcho

19 Identification & Concentration Estimation Using AI(II)

20 Work we want collaborating (I) Exhale Breath Analysis based on Chemical Sensors Array J. Lee et al Ref. Lab on a Chip 2017, 17,

21 Work we want collaborating (II) Standard Operation Protocol for Exhale Breath Analysis based on Chemical Sensors Array Jens Herbig & Jonathan Beauchamp Toward standardization in the analysis of breath gas volatiles J. Breath Res. 8 (2014)

22 Work we want collaborating (III) Real-time Data Analysis based on Chemical Sensors Array Smell Brain Neurons Human Raw signals Processed signals Neural network Decision

23 Acknowledgement This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(msip) (No , Olfactory Bio Data based Emotion Enhancement Interactive Content Technology Development) Especially, thanks to members of our consortium Dr. Hae Ryong Lee (ETRI) Dr. Chong Yun Kang (KIST) Dr. Yeon Sung Lee (KETI) Prof. Byong Kok Jang (Dongsan Medical Center) & Dr. Joon Bu Yu (Kangwon National University)