Electrocorticographic interictal spike removal via denoising source separation for improved neuroprosthesis control

Aysegul Gunduz, Justin C. Sanchez, Jose C. Principe

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

1 Citation (Scopus)

Abstract

Electrocorticographic (ECoG) neuroprosthesis is a promising area of research that could provide channels of communication and control for patients who have lost their motor functions due to damage to the nervous system. However, implantation of subdural electrodes are clinically restricted to diagnostics of pre-surgical epileptic patients. Hence, interictal activity is present in the recordings across various areas of the sensorimotor cortex and suppresses the amplitude modulated features extracted to model hand trajectories. Denoising source separation is a recently introduced framework which extracts hidden structures of interest within the data through denoising the source estimates with filters designed around prior knowledge on the observations. Herein, we exploit the high amplitude quasiperiodic nature of the observed interictal spikes and show that removal of the interictal activity improves linear prediction of hand trajectories.

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"
Pages5224-5227
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

Source separation
Hand
Trajectories
Neurology
Nervous System
Electrodes
Communication
Research
Sensorimotor Cortex

ASJC Scopus subject areas

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

Cite this

Gunduz, A., Sanchez, J. C., & Principe, J. C. (2008). Electrocorticographic interictal spike removal via denoising source separation for improved neuroprosthesis control. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" (pp. 5224-5227). [4650392]

Electrocorticographic interictal spike removal via denoising source separation for improved neuroprosthesis control. / Gunduz, Aysegul; 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. 5224-5227 4650392.

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

Gunduz, A, Sanchez, JC & Principe, JC 2008, Electrocorticographic interictal spike removal via denoising source separation for improved neuroprosthesis control. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"., 4650392, pp. 5224-5227, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 8/20/08.
Gunduz A, Sanchez JC, Principe JC. Electrocorticographic interictal spike removal via denoising source separation for improved neuroprosthesis control. 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. 5224-5227. 4650392
Gunduz, Aysegul ; Sanchez, Justin C. ; Principe, Jose C. / Electrocorticographic interictal spike removal via denoising source separation for improved neuroprosthesis control. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. pp. 5224-5227
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