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This article presents a successfully developed methodology for mining physiological conditions from heart rate variability (HRV) analysis. The application of HRV analysis in both research and clinical settings has seen rapid development in the past decades. Unlike previous research, this study employed features derived from longterm monitoring of HRV indices, as these trends can best reflect the autonomic...
This paper presents a portable device for real-time daily activity identification. The proposed portable device is realized by an embedded system that integrates a triaxial accelerometer, a microprocessor, and a wireless transceiver module. An online activity recognition algorithm has been developed for human daily activity recognition based on the acceleration signal collected from the triaxial accelerometer...
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