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Implementation of Ultra Low Power Wireless ECG Signal Monitor in Nurse Auto Calling System 實現低功率無線 ECG 訊號偵測於護士自動呼叫系統. Presenter : Shao-Kai Liao Adviser : Tsung-Fu Chien Chairman : Hung-Chi Yang Date : 5.22.2013. Outline. Paper Review Purpose Introduction Methods Conclusions Future Work - PowerPoint PPT Presentation
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Presenter : Shao-Kai Liao
Adviser : Tsung-Fu Chien
Chairman : Hung-Chi Yang
Date : 5.22.201315/22/2013
OutlineOutline
Paper ReviewPaper Review
Purpose
IntroductionIntroduction
MethodsMethods
ConclusionsConclusions
Future WorkFuture Work
ReferencesReferences
25/22/2013
Paper ReviewPaper Review
3
Input-Feature Correlated Asynchronous Analog to Information Converter for ECG MonitoringRitika 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
Paper ReviewPaper Review
45/22/2013
Dotted line: input ECG signal. Bold line: input-feature-correlated asynchronously taken samples.
IntroductionIntroduction
5
Electrocardiogram (ECG)
P waveatrial contraction
QRS complexventricular contraction
T waverepolarisation of the ventricles
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IntroductionIntroduction Wireless ECG signal transmission system
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Wireless ECG signal transmission system
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Purpose Reduce the burden of the nurses caring for patients.
Monitor environmental information for each ward.
Immediately notify the nurse at physiological signal abnormalities.
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Hardware
MethodsMethods
1110/31/2012
Biomedical remote home care wireless sensor BIO module patch position
The measured ECG signals
Software ECG asynchronous sampling
MethodsMethods
3/7/2012 13
ECG asynchronous sampling trigger physiological signal high / low threshold
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
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Future WorkFuture 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
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.
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