TY - JOUR
T1 - 1/f neural noise reduction and spike feature extraction using a subset of informative samples
AU - Yang, Zhi
AU - Hoang, Linh
AU - Zhao, Qi
AU - Keefer, Edward
AU - Liu, Wentai
PY - 2011/4
Y1 - 2011/4
N2 - This article describes a study on neural noise and neural signal feature extraction, targeting real-time spike sorting with miniaturized microchip implementation. Neuronal signature, noise shaping, and adaptive bandpass filtering are reported as the techniques to enhance the signal-to-noise ratio (SNR). A subset of informative samples of the waveforms is extracted as features for classification. Quantitative and comparative experiments with both synthesized and animal data are included to evaluate different feature extraction approaches. In addition, a preliminary hardware implementation has been realized using an integrated circuit.
AB - This article describes a study on neural noise and neural signal feature extraction, targeting real-time spike sorting with miniaturized microchip implementation. Neuronal signature, noise shaping, and adaptive bandpass filtering are reported as the techniques to enhance the signal-to-noise ratio (SNR). A subset of informative samples of the waveforms is extracted as features for classification. Quantitative and comparative experiments with both synthesized and animal data are included to evaluate different feature extraction approaches. In addition, a preliminary hardware implementation has been realized using an integrated circuit.
UR - http://www.scopus.com/inward/record.url?scp=79954426475&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79954426475&partnerID=8YFLogxK
U2 - 10.1007/s10439-010-0201-5
DO - 10.1007/s10439-010-0201-5
M3 - Article
C2 - 21086046
AN - SCOPUS:79954426475
SN - 0090-6964
VL - 39
SP - 1264
EP - 1277
JO - Annals of biomedical engineering
JF - Annals of biomedical engineering
IS - 4
ER -