1. Presenter : Shao-Kai Liao Adviser : Tsung-Fu Chien Chairman : Hung-Chi Yang Date : 5.22.2013 15/22/2013

2. Outline  Paper Review  Purpose  Introduction  Methods  Conclusions  Future Work  References 25/22/2013

3. Paper Review 3 Input-Feature Correlated Asynchronous Analog to Information Converter for ECG Monitoring Ritika Agarwal, Student Member, IEEE, and Sameer R. Sonkusale, Member, IEEE 5/22/2013 (a) Example of a synchronously sampled signal. (b) Example of an adaptive asynchronously sampled signal modeled after our prior approach

4. Paper Review 4 5/22/2013 Dotted line: input ECG signal. Bold line: input-feature-correlated asynchronously taken samples.

5. Introduction 5  Electrocardiogram (ECG) P wave atrial contraction QRS complex ventricular contraction T wave repolarisation of the ventricles 5/22/2013

6. Introduction  Wireless ECG signal transmission system 6 Wireless ECG signal transmission system 5/22/2013

7. Purpose  Reduce the burden of the nurses caring for patients.  Monitor environmental information for each ward.  Immediately notify the nurse at physiological signal abnormalities. 75/22/2013

8. Methods  Software TinyOS platform AVR Studio 4 NesC 85/22/2013

9.  Hardware Methods 9 ZigbeX Mote 5/22/2013

10.  Hardware Methods 10 Wireless ECG signal transmission system 5/22/2013

11.  Hardware Methods 1110/31/2012 Biomedical remote home care wireless sensor BIO module patch position The measured ECG signals

12.  Hardware Methods 12 Nurse Auto Calling System UD-885 5/22/2013

13.  Software  ECG asynchronous sampling Methods 3/7/201213 ECG asynchronous sampling trigger physiological signal high / low threshold

14. Conclusions 14  Highly efficient to bring a revolutionary change in ambulatory health monitoring.  Make emergency room abnormal physiological signals machine noise reduction.  reduce the number of wireless signal through asynchronous sampling algorithm 5/22/2013

15. Future Work 15  Detect the P, Q, R, S and T waves.  Collected from the raw data is stored to the SD card is easy to observe when the error occurred  Integrated ECG physiological signal monitoring in the nurse call system. 5/22/2013

16. References [1] M. S. Manikandan and S. Daudapat, Quality Controlled Wavelet Compression of ECG Signals by WEDD. Los Alamitos, CA: IEEE Comput. Soc, 2007. [2] L. Zhitao, K. Dong Youn, and W. A. Pearlman, “Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm,” IEEE Trans. Biomed. Eng., vol. 47, no. 7, pp. 849–856, Jul. 2000. [3] E. J. Candes, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,” IEEE Tran˙s. Inf. Theory, vol. 52, no. 2, pp. 489–509, Feb. 2006. [4] E. J. Candes and M. B. Wakin, “An introduction to compressive sampling,” IEEE Signal Process. Mag., vol. 25, no. 2, pp. 21–30, Mar. 2008. [5] E. J. Candes and T. Tao, “Near-optimal signal recovery from random projections: Universal encoding strategies?,” IEEE Trans. Inf. Theory, vol. 52, no. 12, pp. 5406–5425, Dec. 2006. [6] M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, S. Ting, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Process. Mag.,, vol. 25, no. 2, pp. 83–91, Mar. 2008. 165/22/2013

17. Thank You For Your Attention 175/22/2013