Compression of neural signals using discriminative coding for wireless applications

Stefan Craciun, David Cheney, Karl Gugel, Justin C. Sanchez, Jose C. Principe

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

9 Citations (Scopus)

Abstract

One of the most critical tasks when designing a portable wireless neural recording system is to limit power consumption. This paper proposes a new compression technique applied to neuronal recordings in real-time. The signal is compressed before transmission using a discriminative vector quantization algorithm and then it is reconstructed on the receiver side. Results show that power consumption is decreased while more efficiently using the limited bandwidth. A discriminative Linde-Buzo-Gray algorithm (DLBG) preserves action potential regions of the neuronal signal where information is contained while efficiently filtering background activity. The compression algorithm has been tested in real time on a hardware platform (PICO DSP [3]) that has a Digital Signal Processor (DSP) which performs the algorithm before sending the compressed data to a wireless transmitter. The compression ratios obtained range between 20:1 and 70:1 depending on the embedding size of the signal and the number of code-vectors used.

Original languageEnglish
Title of host publication2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09
Pages629-632
Number of pages4
DOIs
StatePublished - Oct 27 2009
Externally publishedYes
Event2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09 - Antalya, Turkey
Duration: Apr 29 2009May 2 2009

Other

Other2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09
CountryTurkey
CityAntalya
Period4/29/095/2/09

Fingerprint

Digital signal processors
Electric power utilization
Vector quantization
Action Potentials
Transmitters
Hardware
Bandwidth

ASJC Scopus subject areas

  • Biomedical Engineering
  • Clinical Neurology
  • Neuroscience(all)

Cite this

Craciun, S., Cheney, D., Gugel, K., Sanchez, J. C., & Principe, J. C. (2009). Compression of neural signals using discriminative coding for wireless applications. In 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09 (pp. 629-632). [5109375] https://doi.org/10.1109/NER.2009.5109375

Compression of neural signals using discriminative coding for wireless applications. / Craciun, Stefan; Cheney, David; Gugel, Karl; Sanchez, Justin C.; Principe, Jose C.

2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09. 2009. p. 629-632 5109375.

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

Craciun, S, Cheney, D, Gugel, K, Sanchez, JC & Principe, JC 2009, Compression of neural signals using discriminative coding for wireless applications. in 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09., 5109375, pp. 629-632, 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09, Antalya, Turkey, 4/29/09. https://doi.org/10.1109/NER.2009.5109375
Craciun S, Cheney D, Gugel K, Sanchez JC, Principe JC. Compression of neural signals using discriminative coding for wireless applications. In 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09. 2009. p. 629-632. 5109375 https://doi.org/10.1109/NER.2009.5109375
Craciun, Stefan ; Cheney, David ; Gugel, Karl ; Sanchez, Justin C. ; Principe, Jose C. / Compression of neural signals using discriminative coding for wireless applications. 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09. 2009. pp. 629-632
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