The dual classifier-regressor architecture demonstrated excellent performance in accurately detecting heart sound onset and offset, potentially applicable to other physiological signals.
A proposed dual classifier-regressor architecture achieves state-of-the-art results for heart sound onset/offset detection and may be adaptable to other physiological signals.
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In addition to achieving state-of-the-art results, this proposed approach could also be adapted for locating regions of interest in other physiological signals, such as respiration, blood pressure, or muscle activity.
Somarathne et al. (Thu,) reported a other. The dual classifier-regressor architecture demonstrated excellent performance in accurately detecting heart sound onset and offset, potentially applicable to other physiological signals.