Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data

Taehoon Kim, N. Sertac Artan, Jonathan Viventi, H. Jonathan Chao

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

Abstract

High-resolution Electrocorticography (HR-ECoG) has emerged as a key strategic technology for recording localized neural activity with high temporal and spatial resolution with potential applications in brain-computer interfaces (BCI), and seizure detection for epilepsy. However, HR-ECoG has 400 times the resolution of conventional ECoG, making it a challenge to process, transmit and store the HR-ECoG data. Therefore, simple and efficient compression algorithms are vital for the feasibility of implantable wireless medical devices for HR-ECoG recordings. In this paper, following the observation that HR-ECoG signals have both high spatial and temporal correlations similar to video/image signals, various compression methods suitable for video/image- compression based on motion estimation, discrete cosine transform (DCT) and discrete wavelet transform (DWT)- are investigated for compressing HR-ECoG data. We first simplify these methods to satisfy the low-power requirements for implantable devices. Then, we demonstrate that spatiotemporal compression methods produce up to 46% more data reduction on HR-ECoG data than compression methods using only spatial compression do. We further show that this data reduction can be achieved with low hardware complexity. In particular, among the methods investigated, spatiotemporal compression using DCT-based methods provide the best trade-off between hardware complexity and compression performance, and thus we conclude that DCT-based compression is a promising solution for ultralow-power implantable devices for HR-ECoG.

Original languageEnglish (US)
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages1012-1015
Number of pages4
DOIs
StatePublished - 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period8/28/129/1/12

Fingerprint

Discrete cosine transforms
Data reduction
Hardware
Brain computer interface
Discrete wavelet transforms
Data compression
Motion estimation
Data Compression
Image compression
Compaction
Equipment and Supplies
Brain-Computer Interfaces
Wavelet Analysis
Electrocorticography
Epilepsy
Seizures
Technology

ASJC Scopus subject areas

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

Cite this

Kim, T., Artan, N. S., Viventi, J., & Chao, H. J. (2012). Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 (pp. 1012-1015). [6346105] https://doi.org/10.1109/EMBC.2012.6346105

Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data. / Kim, Taehoon; Artan, N. Sertac; Viventi, Jonathan; Chao, H. Jonathan.

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. 2012. p. 1012-1015 6346105.

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

Kim, T, Artan, NS, Viventi, J & Chao, HJ 2012, Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data. in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012., 6346105, pp. 1012-1015, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, United States, 8/28/12. https://doi.org/10.1109/EMBC.2012.6346105
Kim T, Artan NS, Viventi J, Chao HJ. Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. 2012. p. 1012-1015. 6346105 https://doi.org/10.1109/EMBC.2012.6346105
Kim, Taehoon ; Artan, N. Sertac ; Viventi, Jonathan ; Chao, H. Jonathan. / Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. 2012. pp. 1012-1015
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