BioBolt: A minimally-invasive neural interface for wireless epidural recording by intra-skin communication

Sun Il Chang; Khaled Alashmouny; Mike McCormick; Yu Chih Chen; Euisik Yoon

BioBolt: A minimally-invasive neural interface for wireless epidural recording by intra-skin communication

Sun Il Chang, Khaled Alashmouny, Mike McCormick, Yu Chih Chen, Euisik Yoon

Yonsei Advanced Science Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

19 Citations (Scopus)

Abstract

We report a bolt-shape minimally-invasive neural interface, BioBolt, for epidural recording. Sixteen-channel analog front-end has been implemented in 0.25μm technology with low-power wireless data transmission using intra-skin communication. The fabricated ASIC consumes 365μW, occupies 3.2 mm x 0.9 mm, and obtains a 10kb/s data rate.

Original language	English
Title of host publication	2011 Symposium on VLSI Circuits, VLSIC 2011 - Digest of Technical Papers
Pages	146-147
Number of pages	2
Publication status	Published - 2011
Event	2011 Symposium on VLSI Circuits, VLSIC 2011 - Kyoto, Japan Duration: 2011 Jun 15 → 2011 Jun 17

Publication series

Name	IEEE Symposium on VLSI Circuits, Digest of Technical Papers

Conference

Conference	2011 Symposium on VLSI Circuits, VLSIC 2011
Country/Territory	Japan
City	Kyoto
Period	11/6/15 → 11/6/17

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Cite this

@inproceedings{9db225479bd242369de28dd4722a6278,

title = "BioBolt: A minimally-invasive neural interface for wireless epidural recording by intra-skin communication",

abstract = "We report a bolt-shape minimally-invasive neural interface, BioBolt, for epidural recording. Sixteen-channel analog front-end has been implemented in 0.25μm technology with low-power wireless data transmission using intra-skin communication. The fabricated ASIC consumes 365μW, occupies 3.2 mm x 0.9 mm, and obtains a 10kb/s data rate.",

author = "Chang, {Sun Il} and Khaled Alashmouny and Mike McCormick and Chen, {Yu Chih} and Euisik Yoon",

year = "2011",

language = "English",

isbn = "9784863481657",

series = "IEEE Symposium on VLSI Circuits, Digest of Technical Papers",

pages = "146--147",

booktitle = "2011 Symposium on VLSI Circuits, VLSIC 2011 - Digest of Technical Papers",

note = "2011 Symposium on VLSI Circuits, VLSIC 2011 ; Conference date: 15-06-2011 Through 17-06-2011",

}

Chang, SI, Alashmouny, K, McCormick, M, Chen, YC & Yoon, E 2011, BioBolt: A minimally-invasive neural interface for wireless epidural recording by intra-skin communication. in 2011 Symposium on VLSI Circuits, VLSIC 2011 - Digest of Technical Papers., 5986079, IEEE Symposium on VLSI Circuits, Digest of Technical Papers, pp. 146-147, 2011 Symposium on VLSI Circuits, VLSIC 2011, Kyoto, Japan, 11/6/15.

BioBolt: A minimally-invasive neural interface for wireless epidural recording by intra-skin communication. / Chang, Sun Il; Alashmouny, Khaled; McCormick, Mike et al.
2011 Symposium on VLSI Circuits, VLSIC 2011 - Digest of Technical Papers. 2011. p. 146-147 5986079 (IEEE Symposium on VLSI Circuits, Digest of Technical Papers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Chen, Yu Chih

AU - Yoon, Euisik

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AB - We report a bolt-shape minimally-invasive neural interface, BioBolt, for epidural recording. Sixteen-channel analog front-end has been implemented in 0.25μm technology with low-power wireless data transmission using intra-skin communication. The fabricated ASIC consumes 365μW, occupies 3.2 mm x 0.9 mm, and obtains a 10kb/s data rate.

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BT - 2011 Symposium on VLSI Circuits, VLSIC 2011 - Digest of Technical Papers

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BioBolt: A minimally-invasive neural interface for wireless epidural recording by intra-skin communication

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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