Implementation of Cloud-Computing Healthcare based on Xenon Uploading System and Hilbert Huang Transform

Transcription

1 Implementation of Cloud-Computing Healthcare based on Xenon Uploading System and Hilbert Huang Transform Terry B J Kuo 1,2,3, Yu-Cheng Lin 1,2, I-Te Hsieh 1,2, Cheryl C H Yang 1,2,3, Kuan-Liang Kuo 4, Guo-She Lee 3,5, Chi-Hung Lin 6 Men-Tzung Lo 7,8, Norden E. Huang 7,8 1 Institute of Brain Science and 2 Sleep Research Center, National Yang- Ming University; 3 Department of Education and Research, 4 Department of Family Medicine, and 5 Department of Otorhinolaryngology, Taipei City Hospital; 6 Department of Health, Taipei City Government; 7 Research Center for Adaptive Data Analysis and 8 Center for Dynamical Biomarkers and Translational Medicine, National Central University, Taiwan

2 What is an ideal healthcare system?

3 What is an ideal healthcare system? for everyone and everyday

4 Easy

5 Reliable Uploading Analysis Measurement

6 Affordable USD 3000 USD 200

7 Cloud Computing Healthcare Acquisition Storage Analysis Service Please measure your BP now! Sensing Service

8 Current Limitations of Cloud Computing Healthcare For Data Acquisition Key in Electronic Input with Cable Electronic Input without Cable Wi-Fi, Bluetooth, Zigbee

9 Current Limitations of Cloud Computing Healthcare For Data Acquisition Key in Electronic Input with Cable Electronic Input without Cable Wi-Fi, Bluetooth, Zigbee

10 Current Limitations of Cloud Computing Healthcare For Data Acquisition Key in Electronic Input with Cable Electronic Input without Cable Wi-Fi, Bluetooth, Zigbee

11 Current Limitations of Cloud Computing Healthcare For Data Acquisition Key in Electronic Input with Cable Electronic Input without Cable Wi-Fi, Bluetooth, Zigbee

12 Available Standard Wireless Protocols for Telehealth Vergari, Auteri, Corsi, Lamberti (2007)

13 This coin battery can provide only 10 ma Crash Crash Crash

14 A ZigBee-based ECG transmission for a low cost solution in home care services delivery it was not possible to realize an optimized store/sleep-store/send cycle as we intended to. A proprietary firmware for the ZigBee stack on the ETRX1 module is also an alternative solution. Vergari, Auteri, Corsi, Lamberti (2007)

15 If the foot does not fit the shoe Solution 1: Cut the foot to fit the shoe Solution 2: Re-design the shoe to fit the foot

16 Another Limitations Hard to implement by a small company e.g. Bluetooth spec has 1230 pages! Hard to use by the general public Pairing at first use, run the app every time, poor fault tolerance a lot of complaints from both developers and users

17 The reality is far, far away from the theorem. The standard did not work! A proprietary firmware is needed to optimize the performance of the wireless sensor application

18 The Birth of Xenon

19 Choices of Hardware Bluetooth nrf24xx Wi-Fi ZigBee

20 Nordic nrf24le1 5 mm

21 Power Consumption, Data Rate, and Complexity (Price)

22 Xenon Module: Circuit & PCB

23 Optimized Data Integrity, Data Rate, and Power Data integrity 100% data transmission without any loss Data rate adaptive from very low (20 bytes/day) to medium (1000 bytes/s) Power as low as possible, each current or CPU clock is used in data transmission

24 Xenon Protocol Slave 1 Master Slave n Master Receive Transmit ack Idle Slave 1 Transmit data Receive Power down Slave n

25 Electrocardiogram Xenon RF module Electrocardiogram module Xenon Current 2.8 ua for 0 Hz 2.88 ma for 500 Hz

26 Xenon Router: receive RF signal from Xenon module and relay to Internet directly Internet Xenon Module GPRS Module Xenon module Memory Micro Controller

27 Xenon Internet Kit Internet 10 meter 1 W 1 mw Xenon Module Xenon Router

28 Direct Upload Capability Each machine can easily have a uniform resource locator (URL) Upload

29 Cost Variable from 10 to 100 USD 7 USD (210 NTD) 70 USD (2100 NTD)

30 Xenon Empowered Wireless Devices Blood Pressure (Tunnel, Arm, Wrist), Electrocardiogram, Blood Glucose, Body Temperature, Body Weight and Height, SpO2, Heart Rate Variability

31 Satisfaction The users are satisfied: no training is needed The engineers are satisfied: upgrade a normal device into a cloud-computing device within 2 hours

32 Current Limitations of Cloud Computing Healthcare Data Analysis Linear Analysis for Stationary Signal

33 Non-invasive Blood Pressure Monitor Systolic Blood Pressure SBP= 98 Diastolic Blood Pressure DBP= 62 Heart Rate HR= 60

34 Non-invasive Blood Pressure Monitor: Daily Measurements

35 Systolic Blood Pressure (mmhg) Subject 1 (80 y/o male) Subject 2 (75 y/o female) Subject 3 (70 y/o male) Subject 4 (67 y/o female) Time (day)

36 What do the data mean? Time (day) Expert: fluctuating with an elevating trend during last 200 days

37 Time (day) Computer analysis with traditional linear method: Noisy, complex, non-linear, non-stationary difficult to analyze

38 Time (day) Computer analysis with Hilbert Huang Transform (HHT): Cycles (Intrinsic Mode Functions, IMFs) Trend

39 Raw IMF1 IMF2 IMF3 IMF4 IMF5 IMF6 Trend Time (day) Systolic Blood Pressure (mmhg)

40 Raw Systolic Blood Pressure (mmhg) IMF1 IMF2 IMF3 Removal of all cycles (IMFs) IMF4 IMF5 IMF6 Trend Time (day)

41 Raw Removal of all cycles (IMFs) Trend Time (day) Systolic Blood Pressure (mmhg)

42 Time (day) Raw Trend SBP (mmhg)

43 SBP (mmhg) Raw Change Threshold of Change?

44 Agreement of Manual Rating and HHT Manual HHT Increase +7 Unchanged -4 Unchanged 0

45 Sensitivity & Specificity of HHT to Detect Daily Cardiovascular Changes True Positive False Negative False Positive True Negative Sensitivity Specificity SBP DBP HR n=15, Threshold of Change = +3 or -3

46 Systolic Blood Pressure (mmhg) Subject 1 (80 y/o male) Subject 2 (75 y/o female) Subject 3 (70 y/o male) Subject 4 (67 y/o female) Time (day)

47 HHT Cloud Can HHT be implemented in Cloud-Computing Service?

48 HHT program, RCADA, NCU MATLAB Common Gateway Interface (CGI) Program, NYMU Web Server, NYMU Implementation of HHT in Cloud Computing

49

50 Automatic Cloud-Computing HHT

51 Xenon Uploading System acquire data from most health sensors Hilbert Huang Transform analyze data from most health sensors

52 Cloud Computing Healthcare Acquisition Storage Analysis Service Please measure your BP now! Sensing Service

53 Prediction of Disease? SBP (mmhg) Subject 1 (80 y/o male) Time (day)

54 Acknowledgement Institute of Brain Science, National Yang-Ming University Cheryl C H Yang 楊 靜 修 I-Te Hsieh Weiting Lin Yu-Cheng Lin Chen-Shou Wu 謝 一 德 林 威 廷 林 祐 正 吳 鎮 守 Department of Health, Taipei City Government Chi-Hung Lin 林 奇 宏 Kuan-Liang Kuo 郭 冠 良 Guo-She Lee 李 國 熙 Center for Adaptive Data Analysis Research, National Central University Norden E. Huang 黃 鍔 Men-Tzung Lo 羅 孟 宗