title: Ultra-low-power wearable biopotential sensor nodes.
abstract: This paper discusses ultra-low-power wireless sensor nodes intended for wearable biopotential monitoring. Specific attention is given to mixed-signal design approaches and their impact on the overall system power dissipation. Examples of trade-offs in power dissipation between analog front-ends and digital signal processing are also given. It is shown how signal filtering can further reduce the internal power consumption of a node. Such power saving approaches are indispensable as real-life tests of custom wireless ECG patches reveal the need for artifact detection and correction. The power consumption of such additional features has to come from power savings elsewhere in the system as the overall power budget cannot increase.
authors: IMEC, Kapeldreef 75, 3001 Leuven, Belgium.
authors: R F
authors: RF
authors: Yazicioglu
authors: T
authors: T
authors: Torfs
authors: J
authors: J
authors: Penders
authors: I
authors: I
authors: Romero
authors: H
authors: H
authors: Kim
authors: P
authors: P
authors: Merken
authors: B
authors: B
authors: Gyselinckx
authors: H J
authors: HJ
authors: Yoo
authors: C
authors: C
authors: Van Hoof
mesh_terms: D000465:Algorithms; D000669:Amplifiers, Electronic; D003195:Computer Communication Networks / Q000295:instrumentation; D011211:Electric Power Supplies; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods; D004566:Electrodes; D004867:Equipment Design / Q000295:instrumentation; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software; D013686:Telemetry / Q000295:instrumentation*; D014584:User-Computer Interface