Key result
The ICA-JADE method successfully separated respiratory signatures from two subjects one meter apart at a distance of 2.89 meters, with a mean square error of approximately 11.58%.
Population
Two subjects spaced one meter apart at a distance of 2.89 meters from the radar
Comparison
Independent Component Analysis with the Joint… vs Reference chest belt respiration patterns
Authors
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Supports feasibility of multi-subject non-contact respiratory monitoring; leaves open larger-scale clinical validation.
Integrating ICA with the JADE algorithm in a Doppler radar system enables simultaneous, non-contact respiratory monitoring of multiple closely spaced subjects.
Islam et al. (2018) studied Respiration monitoring (n=2). Independent Component Analysis (ICA) with the JADE algorithm vs. Reference chest belt respiration patterns was evaluated on Mean square error of separated respiratory pattern compared to reference chest belt. The ICA-JADE method successfully separated respiratory signatures from two subjects one meter apart at a distance of 2.89 meters, with a mean square error of approximately 11.58%.
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