Sun, Feng-Tso and Kuo, Cynthia and Griss, Martin (2012) PEAR: Power Efficiency through Activity Recognition (for ECG-based Sensing). In: 5th International ICST Conference on Pervasive Computing Technologies for Healthcare.
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Abstract
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
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 09:12 |
| Last Modified: | 18 Apr 2026 02:29 |
| URI: | http://eprints.eai.eu/id/eprint/4490 |
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