DocumentCode :
2675603
Title :
A study on wearable electrocardiograph
Author :
Hsin-Hsi Tsai ; Yi-Ta Chuang ; Chih-Wei Yi ; Yi-Chang Wang
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2015
fDate :
7-9 April 2015
Firstpage :
1
Lastpage :
6
Abstract :
The emergence of wearable devices based on advances in MEMS and low-energy technologies makes low-cost sustained physiological monitoring possible and brings health care into a new territory. But until now, most wearable devices for physiological monitoring do not have FDA approval and the measured data may have some level of noise. In this work, to understand the feasibility of applying wearable electrocardiograph for heart activity monitoring during jogging, we propose a jogging monitoring system based on wearable devices and provide some experimental results. First, the proposed jogging monitoring system is sketched. Next, the traditional ECG tests and the fundamental ECG morphology are introduced. And then, a QRS detection algorithm is introduced and implemented to process ECG data. Last, we collect ECG data by a wearable device in jogging, and some MLII lead ECG records from the MIT-BIH database are selected for comparison. The accuracy of the implemented QRS detection algorithm against both data sets is provided.
Keywords :
bioMEMS; electrocardiography; patient monitoring; wearable computers; ECG; MEMS; MIT-BIH database; QRS detection algorithm; health care; heart activity monitoring; jogging monitoring; low-energy technologies; wearable electrocardiograph; Biomedical monitoring; Detection algorithms; Electrocardiography; Heart rate variability; Monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-8054-3
Type :
conf
DOI :
10.1109/ISSNIP.2015.7106937
Filename :
7106937
Link To Document :
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