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A system based on Body Area Network for detecting the onset of faint fall using motion sensors is presented. It is a portion of the project for elderly fall safety in which abnormal ECG and blood pressure vital signs are used to predict the imminent faint and fall onset is subsequently detected in activating the feedback systems. A statement of hypothesis, proof and experimental results are thoroughly discussed and presented.

A novel system for elderly fall safety using body area network