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