Event Abstract

A Wireless Multichannel Neural Recording system for Implantable Brain-Machine Interfaces

  • 1 Osaka University, National Institute of Information and Communications Technology, Japan

Simultaneous recording of neural activity at large scale, in the long-term, and with bio-safety can provide essential data. These data can be used to advance technology for brain–machine interfaces in clinical application, and to understand brain function. Therefore, we present a new multichannel neural recording system that can record up to 4096-channel (ch) electrocorticogram data by multiple connections of customized application-specific integrated circuits (ASICs). Recorded data sampled at a rate of 1kS/s are multiplexed with time division via an integrated multiplex board, and in total 51.2 Mbps raw data for 4096 ch are generated. This system has an ultra wideband (UWB) wireless unit for transmitting the recorded neural signals. From preliminary experiments with a human body-equivalent liquid phantom, we confirmed 4096-ch UWB wireless data transmission at 128 Mbps for distances below 20 mm.

Keywords: Multichannel neural recording, Implantable Brain-Machine Interfaces, brain-machine interfaces, application-specific integrated circuits, ultra wideband

Conference: 2015 International Workshop on Clinical Brain-Machine Interfaces (CBMI2015), Tokyo, Japan, 13 Mar - 15 Mar, 2015.

Presentation Type: Poster 1-3

Topic: Clinical Brain-Machine Interfaces

Citation: Ando H, Takizawa K, Yoshida T, Matsushita K, Suzuki T and Hirata M (2015). A Wireless Multichannel Neural Recording system for Implantable Brain-Machine Interfaces. Conference Abstract: 2015 International Workshop on Clinical Brain-Machine Interfaces (CBMI2015). doi: 10.3389/conf.fnhum.2015.218.00014

Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.

The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.

Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.

For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.

Received: 23 Apr 2015; Published Online: 29 Apr 2015.

* Correspondence: Dr. Takafumi Suzuki, Osaka University, National Institute of Information and Communications Technology, Suita City, Osaka, Japan, t.suzuki@nict.go.jp

© 2007 - 2019 Frontiers Media S.A. All Rights Reserved