Title :
A Wavelet(MZ-DWT) Based Action Potential Detector at Low Signal-to-Noise Ratios
Author :
Kim, Dohoon ; Choi, Joon Hwan ; Kim, Taejeong
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ.
Abstract :
High background noise of action potentials in extracellular recordings has been one of the major obstacles to reliable detection of action potentials. In this paper, we propose a novel detection algorithm aimed at high background noise environments using multi-scale product and multi-resolution analysis. A new detector provides considerable improvements on real data
Keywords :
bioelectric potentials; cellular biophysics; discrete wavelet transforms; electric sensing devices; medical signal detection; medical signal processing; signal resolution; action potential detector; discrete wavelet transform; extracellular recordings; high background noise environments; multi-resolution analysis; multi-scale product; Background noise; Detectors; Discrete wavelet transforms; Extracellular; Matched filters; Noise shaping; Shape; Signal processing algorithms; Signal to noise ratio; Smoothing methods;
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
DOI :
10.1109/CNE.2005.1419617
