Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm

Aik Goh, Stefan Craciun, Sudhir Rao, David Cheney, Karl Gugel, Justin C. Sanchez, Jose C. Principe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A design challenge of portable wireless neural recording systems is the tradeoff between bandwidth and power consumption. This paper investigates the compression of neuronal recordings in real-time using a novel discriminating Linde-Buzo-Gray algorithm (DLBG) that preserves spike shapes while filtering background noise. The technique is implemented in a low power digital signal processor (DSP) which is capable of wirelessly transmitting raw neuronal recordings. Depending on the signal to noise ratio of the recording, the compression ratio can be tailored to the data to maximally preserve power and bandwidth. The approach was tested in real and synthetic data and achieved compression ratios between 184:1 and 10:1.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
Pages4439-4442
Number of pages4
StatePublished - Dec 1 2008
Externally publishedYes
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period8/20/088/25/08

Fingerprint

Data Compression
Signal-To-Noise Ratio
Noise
Bandwidth
Digital signal processors
Signal to noise ratio
Electric power utilization

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Goh, A., Craciun, S., Rao, S., Cheney, D., Gugel, K., Sanchez, J. C., & Principe, J. C. (2008). Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" (pp. 4439-4442). [4650196]

Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm. / Goh, Aik; Craciun, Stefan; Rao, Sudhir; Cheney, David; Gugel, Karl; Sanchez, Justin C.; Principe, Jose C.

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. p. 4439-4442 4650196.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Goh, A, Craciun, S, Rao, S, Cheney, D, Gugel, K, Sanchez, JC & Principe, JC 2008, Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"., 4650196, pp. 4439-4442, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 8/20/08.
Goh A, Craciun S, Rao S, Cheney D, Gugel K, Sanchez JC et al. Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. p. 4439-4442. 4650196
Goh, Aik ; Craciun, Stefan ; Rao, Sudhir ; Cheney, David ; Gugel, Karl ; Sanchez, Justin C. ; Principe, Jose C. / Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. pp. 4439-4442
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