title: Energy efficient on-sensor processing in Body Sensor Networks.
abstract: Body Sensor Networks (BSNs) have tremendous potential in facilitating the real-time monitoring of the health of an individual in their own environment. However to truly exploit this potential, the powerful signal processing and analysis techniques available in the hospital environment must also be deployed in BSNs. In this paper, techniques in algorithm development, communications, hardware architecture and circuit design are described that will achieve the necessary power savings to make intelligent BSNs a reality.
authors.affiliation: School of Engineering, University College Cork, Ireland. l.marnane@ucc.ie
authors.forename: W
authors.initials: W
authors.lastname: Marnane
authors.forename: S
authors.initials: S
authors.lastname: Faul
authors.forename: C
authors.initials: C
authors.lastname: Bleakley
authors.forename: R
authors.initials: R
authors.lastname: Conway
authors.forename: E
authors.initials: E
authors.lastname: Jones
authors.forename: E
authors.initials: E
authors.lastname: Popovici
authors.forename: M
authors.initials: M
authors.lastname: de la Guia Solaz
authors.forename: F
authors.initials: F
authors.lastname: Morgan
authors.forename: K
authors.initials: K
authors.lastname: Patel
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering / Q000379:methods*; D015374:Biosensing Techniques / Q000295:instrumentation* / Q000639:trends*; D044962:Data Compression; D011211:Electric Power Supplies; D004581:Electronics; D004736:Energy-Generating Resources; D004867:Equipment Design; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted