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Implementation of a telemetry system for neurophysiological signals.

Thorbergsson, Palmi Thor LU ; Garwicz, Martin LU ; Schouenborg, Jens LU and Johansson, Anders J LU (2008) 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008. In [Host publication title missing] 1. p.1254-1257
Abstract
With an ever increasing need for assessment of neurophysiological activity in connection with injury and basic research, the demand for an efficient and reliable data acquisition system rises. Brain-machine interfaces is one class of such systems that targets the central nervous system. A necessary step in the development of a brain-machine interface is to design and implement a reliable and efficient measurement system for neurophysiological signals. The use of telemetric devices increases the flexibility of the devices in terms of subject mobility and unobtrusiveness of the equipment. In this paper, we present a complete system architecture for a wearable telemetry system for the acquisition of neurophysiological data. The system has... (More)
With an ever increasing need for assessment of neurophysiological activity in connection with injury and basic research, the demand for an efficient and reliable data acquisition system rises. Brain-machine interfaces is one class of such systems that targets the central nervous system. A necessary step in the development of a brain-machine interface is to design and implement a reliable and efficient measurement system for neurophysiological signals. The use of telemetric devices increases the flexibility of the devices in terms of subject mobility and unobtrusiveness of the equipment. In this paper, we present a complete system architecture for a wearable telemetry system for the acquisition of neurophysiological data. The system has been miniaturized and implemented using surface-mount technology. System performance has been successfully verified and bottlenecks in the architecture have been identified. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
volume
1
pages
1254 - 1257
conference name
30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008.
external identifiers
  • pmid:19162894
  • wos:000262404500318
  • scopus:84903858560
ISSN
1557-170X
ISBN
978-1-4244-1814-5
DOI
10.1109/IEMBS.2008.4649391
language
English
LU publication?
yes
id
851509e8-4eef-4ee9-92a6-8e33ec787f94 (old id 1289352)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/19162894?dopt=Abstract
date added to LUP
2009-02-05 14:26:13
date last changed
2017-01-01 07:46:40
@inproceedings{851509e8-4eef-4ee9-92a6-8e33ec787f94,
  abstract     = {With an ever increasing need for assessment of neurophysiological activity in connection with injury and basic research, the demand for an efficient and reliable data acquisition system rises. Brain-machine interfaces is one class of such systems that targets the central nervous system. A necessary step in the development of a brain-machine interface is to design and implement a reliable and efficient measurement system for neurophysiological signals. The use of telemetric devices increases the flexibility of the devices in terms of subject mobility and unobtrusiveness of the equipment. In this paper, we present a complete system architecture for a wearable telemetry system for the acquisition of neurophysiological data. The system has been miniaturized and implemented using surface-mount technology. System performance has been successfully verified and bottlenecks in the architecture have been identified.},
  author       = {Thorbergsson, Palmi Thor and Garwicz, Martin and Schouenborg, Jens and Johansson, Anders J},
  booktitle    = {[Host publication title missing]},
  isbn         = {978-1-4244-1814-5},
  issn         = {1557-170X},
  language     = {eng},
  pages        = {1254--1257},
  title        = {Implementation of a telemetry system for neurophysiological signals.},
  url          = {http://dx.doi.org/10.1109/IEMBS.2008.4649391},
  volume       = {1},
  year         = {2008},
}