Implantable neural spike detection using lifting-based stationary wavelet transform

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 7294-7297

  Yang, Yuning ^a   Mason, Andrew J ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH BOTTLENECKS; HARDWARE IMPLEMENTATIONS; HIGH DATA RATE; LOW SIGNAL-TO-NOISE RATIO; MASTER CLOCK; NEURAL RECORDINGS; NEURAL SIGNALS; NEURAL SPIKE; SPIKE DETECTION; STATIONARY WAVELET TRANSFORMS; WAVELET BASIS;

HARDWARE; NEURAL NETWORKS; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS;

SIGNAL DETECTION;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPUTER; EQUIPMENT DESIGN; HUMAN; METHODOLOGY; NERVE CELL; PHYSIOLOGY; REPRODUCIBILITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING; STATISTICAL MODEL; TELEMETRY; TIME; WAVELET ANALYSIS; WIRELESS COMMUNICATION;

ALGORITHMS; COMPUTERS; EQUIPMENT DESIGN; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; TELEMETRY; TIME FACTORS; WAVELET ANALYSIS; WIRELESS TECHNOLOGY;

EID: 84864624843     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091701     Document Type: Conference Paper

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