Energy efficient on-sensor processing in Body Sensor Networks

Author

Marnane, W. ; Faul, S. ; Bleakley, C. ; Conway, R. ; Jones, E. ; Popovici, E. ; de la Guia Solaz, M. ; Morgan, F. ; Patel, K.

Author_Institution

Sch. of Eng., Univ. Coll. Cork, Cork, Ireland

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

2025

Lastpage

2029

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.

Keywords

biomedical telemetry; body sensor networks; electrocardiography; electroencephalography; electromyography; medical signal processing; network synthesis; patient monitoring; algorithm development; body sensor networks; circuit design; communications; energy efficient on-sensor processing; hardware architecture; hospital environment; power saving; real-time health monitoring; signal analysis; signal processing; Electrocardiography; Electroencephalography; Hardware; Program processors; Protocols; Sensors; Signal processing algorithms; Algorithms; Biomedical Engineering; Biosensing Techniques; Data Compression; Electric Power Supplies; Electronics; Energy-Generating Resources; Equipment Design; Humans; Monitoring, Ambulatory; Reproducibility of Results; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626803

Filename

5626803