title: A fully implantable 96-channel neural data acquisition system.
abstract: A fully implantable neural data acquisition system is a key component of a clinically viable brain-machine interface. This type of system must communicate with the outside world and obtain power without the use of wires that cross through the skin. We present a 96-channel fully implantable neural data acquisition system. This system performs spike detection and extraction within the body and wirelessly transmits data to an external unit. Power is supplied wirelessly through the use of inductively coupled coils. The system was implanted acutely in sheep and successfully recorded, processed and transmitted neural data. Bidirectional communication between the implanted system and an external unit was successful over a range of 2 m. The system is also shown to integrate well into a brain-machine interface. This demonstration of a high channel-count fully implanted neural data acquisition system is a critical step in the development of a clinically viable brain-machine interface.
authors.affiliation: Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA. mr38@duke.edu
authors.forename: Michael
authors.initials: M
authors.lastname: Rizk
authors.forename: Chad A
authors.initials: CA
authors.lastname: Bossetti
authors.forename: Thomas A
authors.initials: TA
authors.lastname: Jochum
authors.forename: Stephen H
authors.initials: SH
authors.lastname: Callender
authors.forename: Miguel A L
authors.initials: MA
authors.lastname: Nicolelis
authors.forename: Dennis A
authors.initials: DA
authors.lastname: Turner
authors.forename: Patrick D
authors.initials: PD
authors.lastname: Wolf
mesh_terms: D000200:Action Potentials; D000818:Animals; D001921:Brain / Q000502:physiology*; D003201:Computers; D004567:Electrodes, Implanted; D004867:Equipment Design; D000882:Haplorhini; D019736:Prostheses and Implants; D012756:Sheep; D012815:Signal Processing, Computer-Assisted; D013686:Telemetry; D013696:Temperature; D014584:User-Computer Interface