A 20 Channel EMG SoC with an Integrated 32b RISC Core for Real-Time Wireless Prosthetic Control
dc.contributor.author | Sole, M. P. | |
dc.contributor.author | Badami, K. | |
dc.contributor.author | Deng, J. | |
dc.contributor.author | Mavrogordatos, T. | |
dc.contributor.author | Azarkhish, E. | |
dc.contributor.author | Zahnd, L. | |
dc.contributor.author | Cosentino, C. | |
dc.contributor.author | Augustyniak, M. | |
dc.contributor.author | Zha, Y. | |
dc.contributor.author | Bischof, A. | |
dc.contributor.author | Bergamini, L. | |
dc.contributor.author | Dallemagne, P. | |
dc.contributor.author | Emery, S. | |
dc.date.accessioned | 2021-12-09T14:03:59Z | |
dc.date.available | 2021-12-09T14:03:59Z | |
dc.date.issued | 2019 | |
dc.description.abstract | This work introduces a highly integrated and a power-efficient SoC with 20 EMG sensing channels, a 32b RISC core with a host of peripherals and a companion RF transceiver chip in the 55 nm CMOS technology to enable real-time Osseo-integrated prosthesis control and is aimed at recovery of hand function after amputation. The EMG processing channels include temperature compensated pseudo-resistors in highly programmable gain stages, a 4th order Chebyshev low-pass filter with enhanced linearity and 12b SAR ADC operating in the programmable range of 1.2MS/s to 125kS/s for multichannel EMG signal digitization. The digital back-end includes an EMG pre-processing accelerator and a 32b RISC processor that optimizes the power-consumption of the companion RF transceiver to improve the power-efficiency of the the prosthesis control system. | |
dc.identifier.citation | ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC), pp. 73-76 | |
dc.identifier.doi | https://doi.org/10.1109/ESSCIRC.2019.8902881 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12839/342 | |
dc.title | A 20 Channel EMG SoC with an Integrated 32b RISC Core for Real-Time Wireless Prosthetic Control | |
dc.type | Proceedings Article | |
dc.type.csemdivisions | BU-M | |
dc.type.csemresearchareas | IoT & Vision |