title: Power optimization in body sensor networks: the case of an autonomous wireless EMG sensor powered by PV-cells.
abstract: Recent advances in ultra-low-power circuits and energy harvesters are making self-powered body sensor nodes a reality. Power optimization at the system and application level is crucial in achieving ultra-low-power consumption for the entire system. This paper reviews system-level power optimization techniques, and illustrates their impact on the case of autonomous wireless EMG monitoring. The resulting prototype, an Autonomous wireless EMG sensor power by PV-cells, is presented.
authors.affiliation: Holst Centre, HTC 31, 5656, AE Eindhoven, the Netherlands. Julien.Penders@imec-nl.nl
authors.forename: J
authors.initials: J
authors.lastname: Penders
authors.forename: V
authors.initials: V
authors.lastname: Pop
authors.forename: L
authors.initials: L
authors.lastname: Caballero
authors.forename: J
authors.initials: J
authors.lastname: van de Molengraft
authors.forename: R
authors.initials: R
authors.lastname: van Schaijk
authors.forename: R
authors.initials: R
authors.lastname: Vullers
authors.forename: C
authors.initials: C
authors.lastname: Van Hoof
mesh_terms: D001698:Biomedical Engineering / Q000379:methods; D015374:Biosensing Techniques; D011211:Electric Power Supplies; D004576:Electromyography / Q000295:instrumentation*; D004581:Electronics; D004867:Equipment Design; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation / Q000379:methods; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013686:Telemetry / Q000295:instrumentation*; D013997:Time Factors