Key result
An unobtrusive biomedical system embedded on a wheelchair successfully measured heart rate and respiratory rate using BCG and accelerometer sensors with wavelet-based filtering and ICA algorithms.
A wheelchair-embedded monitoring system using ballistocardiography and accelerometry can unobtrusively estimate heart rate and respiratory rate despite motion artifacts.
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May facilitate unobtrusive monitoring in wheelchair users; leaves open rigorous validation before clinical use.
Postolache et al. (2009) studied this question. Unobtrusive heart rate and respiratory rate monitor embedded on a wheelchair was evaluated on Heart rate and respiratory rate accurate estimation from BCG signal. An unobtrusive biomedical system embedded on a wheelchair successfully measured heart rate and respiratory rate using BCG and accelerometer sensors with wavelet-based filtering and ICA algorithms.
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