title: A method for compression of intra-cortically-recorded neural signals dedicated to implantable brain-machine interfaces.
abstract: This paper proposes an efficient data compression technique dedicated to implantable intra-cortical neural recording devices. The proposed technique benefits from processing neural signals in the Discrete Haar Wavelet Transform space, a new spike extraction approach, and a novel data framing scheme to telemeter the recorded neural information to the outside world. Based on the proposed technique, a 64-channel neural signal processor was designed and prototyped as a part of a wireless implantable extra-cellular neural recording microsystem. Designed in a 0.13- μ m standard CMOS process, the 64-channel neural signal processor reported in this paper occupies ∼ 0.206 mm(2) of silicon area, and consumes 94.18 μW when operating under a 1.2-V supply voltage at a master clock frequency of 1.28 MHz.
authors.forename: Mohammad Ali
authors.initials: MA
authors.lastname: Shaeri
authors.forename: Amir M
authors.initials: AM
authors.lastname: Sodagar
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D062207:Brain-Computer Interfaces; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D044962:Data Compression; D055724:Electrophysiological Phenomena; D004867:Equipment Design; D006801:Humans; D008838:Microcomputers; D058117:Neural Prostheses; D019736:Prostheses and Implants; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D058067:Wavelet Analysis