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Content Provider | IEEE Xplore Digital Library |
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Author | Gonzalez-Landaeta, R. Casas, O. Pallas-Areny, R. |
Copyright Year | 2007 |
Description | Author affiliation: Univ. Politec. de Catalunya, Barcelona (Gonzalez-Landaeta, R.; Casas, O.; Pallas-Areny, R.) |
Abstract | We propose a novel technique for heart rate detection on a subject that stands on a common electronic weighing scale. The detection relies on sensing force variations related to the blood acceleration in the aorta, works even if wearing footwear, and does not require any sensors attached to the body. We have applied our method to three different weighing scales, and estimated whether their sensitivity and frequency response suited heart rate detection. Scale sensitivities were from 490 nV/V/N to 1670 nV/V/N, all had an underdamped transient response and their dynamic gain error was below 19 % at 10 Hz, which are acceptable values for heart rate estimation. We also designed a pulse detection system based on off-the-shelf integrated circuits, whose gain was about 70 times $10^{3}$ and able to sense force variations about 240 mN. The signal-to-noise ratio (SNR) of the main peaks of the pulse signal detected was higher than 48 dB, which is large enough to estimate the heart rate by simple signal processing methods. To validate the method, the ECG and the force signal were simultaneously recorded on 12 volunteers. The maximal error obtained from heart rates determined from these two signals was plusmn0.6 beats/minute. |
Starting Page | 6282 |
Ending Page | 6285 |
File Size | 354032 |
Page Count | 4 |
File Format | |
ISBN | 9781424407873 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2007.4353791 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-08-22 |
Publisher Place | France |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Heart rate detection Heart rate Signal processing Force sensors Blood Acceleration Footwear Frequency estimation Frequency response Transient response |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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