NDLI: Wearable ballistocardiography: Preliminary methods for mapping surface vibration measurements to whole body forces

Content Provider	IEEE Xplore Digital Library
Author	Wiens, A. Etemadi, M. Klein, L. Roy, S. Inan, O.T.
Copyright Year	2014
Description	Author affiliation: Sch. of Med., Univ. of California, San Francisco, San Francisco, CA, USA (Klein, L.) \|\| Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA (Wiens, A.; Inan, O.T.) \|\| Dept. of Bioeng. & Therapeutic Sci., Univ. of California, San Francisco, San Francisco, CA, USA (Etemadi, M.; Roy, S.)
Abstract	The recent resurgence of ballistocardiogram (BCG) measurement and interpretation technologies has led to a wide range of powerful tools available for unobtrusively assessing mechanical aspects of cardiovascular health at home. Researchers have demonstrated a multitude of modern BCG measurement modalities, including beds, chairs, weighing scales, and wearable approaches. However, many modalities produce significant variations in the morphology of the measured BCG, creating confusion in the analysis and interpretation of the signals. This paper creates a framework for comparing wearable BCG measurements to whole body measurements - such as taken with a weighing scale system - to eventually allow the same analysis and interpretation tools that have been developed for whole body systems to be applied in the future to wearable systems. To the best of our knowledge, it represents the first attempt to morphologically compare vertical acceleration recordings measured on different locations on the torso to whole body displacements measured by BCG instrumentation.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	5172
Ending Page	5175
File Size	930847
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944790
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Acceleration Biomedical monitoring Accelerometers Electrocardiography Weight measurement Educational institutions Sternum
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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