DocumentCode :
2254648
Title :
Design of bio-signal based physical activity monitoring system
Author :
Gang, GyeongWoo ; Min, Chul Hong ; Kim, Tae Seon
Author_Institution :
Catholic Univ. of Korea, Bucheon, South Korea
fYear :
2012
fDate :
5-7 Jan. 2012
Firstpage :
144
Lastpage :
147
Abstract :
Conventional physical activity systems with 3-D accelerometer or global positioning system (GPS) can effectively quantize energy expenditure for aerobic exercise. However, they are limited for aerobic exercise monitoring. To overcome this limitation, we developed EMG based portable physical activity monitoring system. Proposed system extract unique features of motion based exercise and muscular motion based exercise from measured bio-signal. Experimental results showed it can clearly classify the aerobic exercise, isotonic resistance exercise, and hybrid types of exercise. Through this system, more complex types of physical activity can be recognized accurately.
Keywords :
electromyography; feature extraction; medical signal processing; patient monitoring; signal classification; 3D accelerometer; EMG based portable physical activity monitoring system; GPS; aerobic exercise classification; aerobic exercise monitoring; bio-signal design; exercise hybrid types; exercise motion; feature extraction; global positioning system; isotonic resistance exercise classification; muscular motion; Biomedical monitoring; Electrodes; Electromyography; Monitoring; Noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
Type :
conf
DOI :
10.1109/BHI.2012.6211529
Filename :
6211529
Link To Document :
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