PEAR: Power Efficiency through Activity Recognition (for ECG-based Sensing)

Feng-Tso Sun, Cynthia Kuo, Martin Griss · 2011

The PEAR framework is presented using an ECG-based body sensor network as a case study. PEAR addresses real-world challenges in continuously monitoring physiological signals. PEAR leverages a wearable sensor’s embedded processing power to conserve energy. This is accomplished by performing some dat

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