• 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