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Current Signal Transduction Therapy

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ISSN (Print): 1574-3624
ISSN (Online): 2212-389X

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General Research Article

IoT based Low Power Wearable ECG Monitoring System

Author(s): A.S. Kulkarni, M. Suchetha* and N. Kumaravel

Volume 14, Issue 1, 2019

Page: [68 - 74] Pages: 7

DOI: 10.2174/1574362413666180622105447

Price: $65

Abstract

Background: An electrocardiogram device monitors the cardiac status of a patient by recording the heart’s electrical potential vs time. Such devices play a very important role to save the life of patients who survive a heart attack or suffer from these patients. An early detection of conditions that lead to the onset of cardiac arrest allows doctors to provide proper treatment on time and prevents death or disability from cardiac arrest. Most developing countries have very poor information about these health care issues.

Methods: An actual deployment of the system was used to evaluate key aspects of the system architecture, in particular, the possibility to monitor the ECG signal of single patients in a large area and for a long time the possibility to access ECG data through the web interface. The test deployment consisted of ECG sensor AD8232, wi-fi module and IoT server. The IoT server was installed on a Linux/ windows machine. The wifi has been configured to connect to the server, through an ADSL router.

Conclusion: We have proposed a wireless wearable ECG monitoring system enabled with an IoT platform that integrates heterogeneous nodes of ECG sensor and applications, has a long battery life and provides a high-quality ECG signal. The system allows monitoring single/multiple patients on a relatively large indoor area (home, building, nursing home, etc). As observed, this result is obtained through a careful set of choices at the level of components, circuit solutions, and algorithms. We would like to stress the fact that a dedicated overall output is not enough to achieve an advantage in terms of overall sensor performance. The latter depends on the optimization of the whole sensor. Indeed, this proposed ECG sensor, based on a high-performance ADC and an arm processor, provides much better performance, in terms of power consumption and noise, than many proposed system based on a purposely designed front-end chip.

Keywords: Wearable sensors, monitoring, electrocardiogram, wireless sensor networks, bio-signal, photoplethysmography (PPG).

[1]
Dilmaghani RS, Bobarshad H, Ghavami M, Choobkar S, Wolfe C. Wireless sensor networks for monitoring physiological signals of multiple patients. IEEE Trans Biomed Circuits Syst 2011; 5(4): 347-56.
[2]
Delano MK, Sodini CG. A long-term wearable electrocardiogram measurement system. Proc IEEE Int Conf Body Sensor Netw 2013; 1-6.
[3]
Winokur ES, Delano MK, Sodini CG. A wearable cardiac monitor for long-term data acquisition and analysis. IEEE Trans Biomed Eng 2013; 60(1): 189-92.
[4]
Kim NJ, Hong JH, Lee TS. A study on power consumption and transmission rate in ECG signal processing in mobile environment. Proc IFMBE 2007; 4107-10.
[5]
Wang IJ, Liao LD, Wang YT, et al. A wearable mobile electrocardiogram measurement device with novel dry polymer-based electrodes. Proc IEEE Region 10 Conf Fukuoka. Japan. 2010; pp. 379-84.
[6]
Lian Y, Yu J. A low power linear phase digital FIR filter for wearable ECG devices. 27th Annual Conference on Engineering in Medicine and Biology. Shanghai, China. September 1-4, 2005;
[7]
Chen SL, Wang V. VLSI implementation of low-power cost efficient lossless ECG encoder design for wireless healthcare monitoring application. IEEE Lett 2013; 49(2): 91-3.
[8]
Chua E, Fang WC. Mixed bio-signal lossless data compressor for portable brain-heart monitoring systems. IEEE Trans Consum Electron 2011; 57(1): 267-73.
[9]
Hong Y, Rajendran I, Lian Y. A new ECG signal processing scheme for low-power wearable ECG devices. Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics 2011 Oct 6-7; Macau, China. Singapore: ScholarBank@NUS Repository 2011.
[10]
Braojos R, Mamaghanian H, Junior AD, et al. Ultra-low power design of wearable cardiac monitoring systems. ACM 2014.
[11]
Li K, Pan Y, Chen F, Cheng KT, and Huan R. Real-time lossless ECG compression for low power wearable medical devices based on adaptive region prediction. IEEE Electr Lett 2014; 50(25): 1904-6.
[12]
Healey J, Logan B. Wearable wellness monitoring using ECG and accelerometer data. 9th IEEE International Symposium on Wearable Computers. 2005 July 13; Osaka, Japan. Washington: IEEE Computer Society 2005.
[13]
Jubadi WM, Sahak SF. Heartbeat monitoring alert via SMS. IEEE Symposium on Industrial Electronics and Applications (ISIEA 2009). Kuala Lumpur, Malaysia. October 4-6, 2009;
[14]
Purnima PS. Zigbee and GSM based patient health monitoring system Interntional Conference on Electronics and Communication System (IECS -2014)
[15]
Chiu CC, Lin TH, Liau BY. Using correlation coefficient in ECG waveform for arrhythmia detection. Biomed Eng Appl Basis Commun 2005; 17(3): 147-52.
[16]
Nemati E, Deen MJ, Mondal T. A wireless wearable ECG sensor for long-term applications. IEEE Commun Mag 2012; 50(1)
[17]
Lee SY, Hong JH, Hsieh CH, Liang MC, Chien SY, Lin KH. Low-power wireless ECG acquisition and classification system for body sensor networks. IEEE J Biomed Health Inform 2015; 19(1): 236-46.
[18]
Altini M, Polito S, Penders J, et al. An ECG patch combining a customized ultra-lowpower ECG SoC with Bluetooth low energy for long term ambulatory monitoring. In Proceedings of the 2nd Conference on Wireless Health 2011; p. 15
[19]
Matlab work for www.mathworks.com
[20]
Texas Instrument Wireless Heart Rate Monitor Reference Design http://www.ti.com/lit/ug/tidu195a/ tidu195a. [Accessed on: February 17, 2016].
[21]
Lee SC, Chung WY. A robust wearable u-healthcare platform in wireless sensor network. J Commun Netw 2014; 16(4): 465-74.

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