TY - GEN
T1 - A programmable implementation of neural signal processing on a smartdust for brain-computer interfaces
AU - Sun, Yuwen
AU - Huang, Shimeng
AU - Oresko, Joseph
AU - Krais, John
AU - Cheng, Allen C.
PY - 2009
Y1 - 2009
N2 - Brain-computer interfaces (BCIs) offer tremendous promise for improving the quality of life for disabled individuals. BCIs use spike sorting to identify the source of each neural firing. To date, spike sorting has been performed using off-chip analysis, which requires a wired connection penetrating the skull to a bulky external power/processing unit, or ASIC designs, which lack the programmability to perform different algorithms and upgrades. In this research, we propose and test the feasibility of performing on-chip, real-time spike sorting on a programmable smartdust, including feature extraction, classification, compression, and wireless transmission. A detailed power/performance trade-off analysis using DVFS is presented. Our experimental results show that the execution time and power density meet the requirements to perform real-time spike sorting and wireless transmission on a single neural channel.
AB - Brain-computer interfaces (BCIs) offer tremendous promise for improving the quality of life for disabled individuals. BCIs use spike sorting to identify the source of each neural firing. To date, spike sorting has been performed using off-chip analysis, which requires a wired connection penetrating the skull to a bulky external power/processing unit, or ASIC designs, which lack the programmability to perform different algorithms and upgrades. In this research, we propose and test the feasibility of performing on-chip, real-time spike sorting on a programmable smartdust, including feature extraction, classification, compression, and wireless transmission. A detailed power/performance trade-off analysis using DVFS is presented. Our experimental results show that the execution time and power density meet the requirements to perform real-time spike sorting and wireless transmission on a single neural channel.
KW - Brain-computer interface
KW - Brain-implantable computing
KW - DVFS
KW - Smartdust
KW - TinyOS
UR - http://www.scopus.com/inward/record.url?scp=70449730906&partnerID=8YFLogxK
U2 - 10.1145/1594233.1594320
DO - 10.1145/1594233.1594320
M3 - Conference contribution
AN - SCOPUS:70449730906
SN - 9781605586847
T3 - Proceedings of the International Symposium on Low Power Electronics and Design
SP - 351
EP - 354
BT - ISLPED'09 - Proceedings of the 2009 ACM/IEEE International Symposium on Low Power Electronics and Design
T2 - 2009 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED'09
Y2 - 19 August 2009 through 21 August 2009
ER -