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 Scopus citations

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

Publication series

Name2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09

Other

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

    Fingerprint

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] (2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09). https://doi.org/10.1109/NER.2009.5109375