A configurable realtime DWT-based neural data compression and communication VLSI system for wireless implants

作者：Yang Yuning^*; Kamboh Awais M; Mason Andrew J

来源：Journal of Neuroscience Methods, 2014, 227: 140-150.

DOI：10.1016/j.jneumeth.2014.02.009

• Neural compression
• Communication protocol
• Discrete wavelet transform
• VLSI

This paper presents the design of a complete multi-channel neural recording compression and communication system for wireless implants that addresses the challenging simultaneous requirements for low power, high bandwidth and error-free communication. The compression engine implements discrete wavelet transform (DWT) and run length encoding schemes and offers a practical data compression solution that faithfully preserves neural information. The communication engine encodes data and commands separately into custom-designed packet structures utilizing a protocol capable of error handling. VLSI hardware implementation of these functions, within the design constraints of a 32-channel neural compression implant, is presented. Designed in 0.13 mu m CMOS, the core of the neural compression and communication chip occupies only 1.21 mm(2) and consumes 800 mu W of power (25 mu W per channel at 26 KS/s) demonstrating an effective solution for intra-cortical neural interfaces.

• 出版日期2014-4-30