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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Inan, O.T. Dookun Park Kovacs, G.T.A. Giovangrandi, L. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical Engineering at Stanford University (Dookun Park; Giovangrandi, L.) || Department of Electrical Engineering at Stanford University, Stanford, CA 94306 USA (Inan, O.T.) || Department of Electrical Engineering and, by courtesy, School of Medicine at Stanford University (Kovacs, G.T.A.) |
| Abstract | A commercially available bathroom scale was modified to enable unobtrusive and robust cardiovascular monitoring in the home. Handlebar electrodes were interfaced to an ultra-low power, two-electrode electrocardiogram (ECG) acquisition circuit providing consistent and clean heartbeat timing information. In addition, the footpad electrodes were used to detect lower-body electromyogram (EMG) and lower-body impedance plethysmogram (IPG) signals using two parallel circuits. The lower-body EMG signal was used as an indication of excessive motion of the subject on the scale. The lower-body IPG signal is related to blood flow through the legs, and will be investigated further in future studies. Finally, the component of bodyweight that varies with time — the ballistocardiogram (BCG) signal — was amplified from the existing strain gauges built into the scale. A preliminary validation was completed on five healthy subjects of varying sizes. The average signal-to-noise ratio (SNR) values computed over all five subjects for the ECG, IPG, and BCG signals were 17.2, 12.0, and 9.0 dB, respectively. |
| Starting Page | 2472 |
| Ending Page | 2475 |
| File Size | 639102 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6090686 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Electrodes Electromyography Signal to noise ratio Robustness Impedance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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