An Event based Body Coupled Transdural Telemetry for Intracortical Brain Computer Interfaces

Intracortical brain-computer interfaces (iBCIs) hold promise for restoring motor, sensory, and cognitive functions, including applications in paralysis treatment and speech decoding. High-density microelectrode arrays (MEAs) provide fine spatial and temporal discrimination of neural activity, but the considerable upsurge in data generation poses challenges for wireless transmission from miniaturized implants due to constraints on power, bandwidth, heat dissipation, and device size. To address these constraints, we propose a two-stage wireless iBCI architecture comprising a transdural galvanic-coupled body channel communication (BCC) link from a free-floating MEA to an intracranial unit, followed by a transcutaneous link to an external unit. This study focuses on the transdural BCC telemetry system, which provides compact, wideband, and energy-efficient data transmission. Phantom tests, and ex vivo experiments using a human cadaveric head specimen validate the system, demonstrating wireless transmission up to 500 Mbps with 20% duty cycling and bit error rates below 10⁻⁵. The system incorporates the send-on-delta encoder (SODA), achieving up to 11.4× data compression and reducing thermal load for meeting the safety guidelines. Safety is further examined using brain-on-a-chip models, which demonstrate that the system does not evoke unintended neural activity, supporting the platform's long-term viability for high-resolution iBCIs.

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Publication Details

Journal
Communications Engineering
Published
2026-09-01
DOI
https://doi.org/10.1038/s44172-026-00735-z
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

An Event based Body Coupled Transdural Telemetry for Intracortical Brain Computer Interfaces

Zhenyu Gao, Yao‐Hong Liu, Marios Gourdouparis, Guido Dolmans et al.
Communications Engineering
Neuroscience and Neural Engineering
article

An Event based Body Coupled Transdural Telemetry for Intracortical Brain Computer Interfaces

Zhenyu Gao, Yao‐Hong Liu, Marios Gourdouparis, Guido Dolmans, Chengyao Shi, Yuming He, Pietro Russo, Dennis Lambrechts, Hua-Peng Liaw, Laura Nuttin
article en

Abstract

Intracortical brain-computer interfaces (iBCIs) hold promise for restoring motor, sensory, and cognitive functions, including applications in paralysis treatment and speech decoding. High-density microelectrode arrays (MEAs) provide fine spatial and temporal discrimination of neural activity, but the considerable upsurge in data generation poses challenges for wireless transmission from miniaturized implants due to constraints on power, bandwidth, heat dissipation, and device size. To address these constraints, we propose a two-stage wireless iBCI architecture comprising a transdural galvanic-coupled body channel communication (BCC) link from a free-floating MEA to an intracranial unit, followed by a transcutaneous link to an external unit. This study focuses on the transdural BCC telemetry system, which provides compact, wideband, and energy-efficient data transmission. Phantom tests, and ex vivo experiments using a human cadaveric head specimen validate the system, demonstrating wireless transmission up to 500 Mbps with 20% duty cycling and bit error rates below 10⁻⁵. The system incorporates the send-on-delta encoder (SODA), achieving up to 11.4× data compression and reducing thermal load for meeting the safety guidelines. Safety is further examined using brain-on-a-chip models, which demonstrate that the system does not evoke unintended neural activity, supporting the platform's long-term viability for high-resolution iBCIs.

Communications EngineeringVol. 5(1)
Imec the Netherlands (NL), IMEC (BE), Eindhoven University of Technology (NL), Erasmus University Rotterdam (NL)
European Commission, HORIZON EUROPE Framework Programme
Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Neuroscience and Neural Engineering
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