Energy Efficient On-Sensor Processing In Body Sensor Networks

Typeset version

 

TY  - CONF
  - Marnane W.P., Faul S., Bleakley C., Conway R., Jones E., Popovici E., de la Guia Solaz M., Morgan F., Patel K.,
  - 32nd Annual International IEEE EMBS Conference
  - Energy Efficient On-Sensor Processing In Body Sensor Networks
  - 2010
  - September
  - Published
  - 1
  - ()
  - 2025
  - 2029
  - Buenos Aires, Argentina
  - 31-AUG-10
  - 04-SEP-10
  - 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.
  - 10.1109/IEMBS.2010.5626803
  - Science Foundation Ireland
  - Science Foundation Ireland SFI/07/SRC/I1169
DA  - 2010/09
ER  - 
@inproceedings{V119277849,
   = {Marnane W.P.,  Faul S. and  Bleakley C.,  Conway R. and  Jones E.,  Popovici E. and  de la Guia Solaz M.,  Morgan F. and  Patel K.,  },
   = {32nd Annual International IEEE EMBS Conference},
   = {{Energy Efficient On-Sensor Processing In Body Sensor Networks}},
   = {2010},
   = {September},
   = {Published},
   = {1},
   = {()},
  pages = {2025--2029},
   = {Buenos Aires, Argentina},
  month = {Aug},
   = {04-SEP-10},
   = {{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.}},
   = {10.1109/IEMBS.2010.5626803},
   = {Science Foundation Ireland},
   = {Science Foundation Ireland SFI/07/SRC/I1169},
  source = {IRIS}
}
AUTHORSMarnane W.P., Faul S., Bleakley C., Conway R., Jones E., Popovici E., de la Guia Solaz M., Morgan F., Patel K.,
TITLE32nd Annual International IEEE EMBS Conference
PUBLICATION_NAMEEnergy Efficient On-Sensor Processing In Body Sensor Networks
YEAR2010
MONTHSeptember
STATUSPublished
PEER_REVIEW1
TIMES_CITED()
SEARCH_KEYWORD
EDITORS
START_PAGE2025
END_PAGE2029
LOCATIONBuenos Aires, Argentina
START_DATE31-AUG-10
END_DATE04-SEP-10
ABSTRACTAbstract—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.
FUNDED_BY
URL
DOI_LINK10.1109/IEMBS.2010.5626803
FUNDING_BODYScience Foundation Ireland
GRANT_DETAILSScience Foundation Ireland SFI/07/SRC/I1169