DocumentCode
862334
Title
Transition Detection in Body Movement Activities for Wearable ECG
Author
Pawar, T. ; Anantakrishnan, N.S. ; Chaudhuri, S. ; Duttagupta, S.P.
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai
Volume
54
Issue
6
fYear
2007
fDate
6/1/2007 12:00:00 AM
Firstpage
1149
Lastpage
1152
Abstract
It has been shown by Pawar (2007) that the motion artifacts induced by body movement activity (BMA) in a single-lead wearable electrocardiogram (ECG) signal recorder, while monitoring an ambulatory patient, can be detected and removed by using a principal component analysis (PCA)-based classification technique. However, this requires the ECG signal to be temporally segmented so that each segment comprises of artifacts due to a single type of body movement activity. In this paper, we propose a simple, recursively updated PCA-based technique to detect transitions wherever the type of body movement is changed
Keywords
biomechanics; electrocardiography; medical signal detection; medical signal processing; patient monitoring; principal component analysis; signal classification; body movement; body movement activities; body movement activity; motion artifacts; principal component analysis; signal classification; signal segmentation; single-lead wearable electrocardiogram signal recorder; transition detection; wearable ECG; Biomedical monitoring; Condition monitoring; Distortion; Electrocardiography; Filtering; Heart; Motion analysis; Motion detection; Patient monitoring; Principal component analysis; Body movement activity; motion artifacts; principal component analysis; transition detection; wearable ECG; Adult; Algorithms; Artifacts; Diagnosis, Computer-Assisted; Electrocardiography, Ambulatory; Female; Humans; Male; Motor Activity; Movement; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2007.891950
Filename
4203022
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