DocumentCode
2561091
Title
A Wearable ECG Monitoring System Using Adaptive EMD Filter Based on Activity Status
Author
Byeong-Hoon Kim ; Yun-Hong Noh ; Do-Un Jeong
Author_Institution
Dept. of Ubiquitous IT Eng., Dongseo Univ., Busan, South Korea
fYear
2015
fDate
24-27 March 2015
Firstpage
11
Lastpage
16
Abstract
Motion artifacts induce signal distortion to ECG measurement is a known problem. In this paper, we developed a belt-type ECG measurement system with three-axis acceleration sensor for ECG signal measurement in daily life. Activity status is classified by using Fuzzy Classification. We use EMD-based filter to reduce motion artifact by adapting the activity status change.
Keywords
acceleration measurement; adaptive filters; biomedical measurement; biomedical transducers; electrocardiography; fuzzy systems; medical signal processing; sensors; signal classification; adaptive EMD filter; belt-type ECG measurement system; fuzzy classification; motion artifact reduction; signal distortion; three-axis acceleration sensor; wearable ECG monitoring system; Conferences; ECG; EMD; Fuzzy Classification; Healthcare; motion artifacts;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
Conference_Location
Gwangiu
Print_ISBN
978-1-4799-1774-7
Type
conf
DOI
10.1109/WAINA.2015.73
Filename
7096139
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