PMID- 26719239
OWN - NLM
STAT- MEDLINE
DCOM- 20161031
LR  - 20240324
IS  - 1872-678X (Electronic)
IS  - 0165-0270 (Print)
IS  - 0165-0270 (Linking)
VI  - 261
DP  - 2016 Mar 1
TI  - A real-time spike classification method based on dynamic time warping for 
      extracellular enteric neural recording with large waveform variability.
PG  - 97-109
LID - S0165-0270(15)00446-X [pii]
LID - 10.1016/j.jneumeth.2015.12.006 [doi]
AB  - BACKGROUND: Computationally efficient spike recognition methods are required for 
      real-time analysis of extracellular neural recordings. The enteric nervous system 
      (ENS) is important to human health but less well-understood with few appropriate 
      spike recognition algorithms due to large waveform variability. NEW METHOD: Here 
      we present a method based on dynamic time warping (DTW) with high tolerance to 
      variability in time and magnitude. Adaptive temporal gridding for "fastDTW" in 
      similarity calculation significantly reduces the computational cost. The 
      automated threshold selection allows for real-time classification for 
      extracellular recordings. RESULTS: Our method is first evaluated on synthesized 
      data at different noise levels, improving both classification accuracy and 
      computational complexity over the conventional cross-correlation based 
      template-matching method (CCTM) and PCA+k-means clustering without time warping. 
      Our method is then applied to analyze the mouse enteric neural recording with 
      mechanical and chemical stimuli. Successful classification of biphasic and 
      monophasic spikes is achieved even when the spike variability is larger than 
      millisecond in width and millivolt in magnitude. COMPARISON WITH EXISTING 
      METHOD(S): In comparison with conventional template matching and clustering 
      methods, the fastDTW method is computationally efficient with high tolerance to 
      waveform variability. CONCLUSIONS: We have developed an adaptive fastDTW 
      algorithm for real-time spike classification of ENS recording with large waveform 
      variability against colony motility, ambient changes and cellular heterogeneity.
CI  - Copyright (c) 2015 Elsevier B.V. All rights reserved.
FAU - Cao, Yingqiu
AU  - Cao Y
AD  - School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 
      14853, USA. Electronic address: yc923@cornell.edu.
FAU - Rakhilin, Nikolai
AU  - Rakhilin N
AD  - School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 
      14853, USA.
FAU - Gordon, Philip H
AU  - Gordon PH
AD  - School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 
      14853, USA.
FAU - Shen, Xiling
AU  - Shen X
AD  - Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
FAU - Kan, Edwin C
AU  - Kan EC
AD  - School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 
      14853, USA.
LA  - eng
GR  - R01 GM095990/GM/NIGMS NIH HHS/United States
GR  - R01 GM114254/GM/NIGMS NIH HHS/United States
PT  - Evaluation Study
PT  - Journal Article
DEP - 20151221
PL  - Netherlands
TA  - J Neurosci Methods
JT  - Journal of neuroscience methods
JID - 7905558
SB  - IM
MH  - *Action Potentials
MH  - *Algorithms
MH  - Animals
MH  - Cluster Analysis
MH  - Mice, Inbred C57BL
MH  - Microelectrodes
MH  - Muscle, Smooth/physiology
MH  - Myenteric Plexus/physiology
MH  - Neurons/*physiology
MH  - Pattern Recognition, Automated/*methods
MH  - Physical Stimulation
MH  - Principal Component Analysis
MH  - Signal Processing, Computer-Assisted
MH  - Time Factors
MH  - Tissue Culture Techniques
MH  - *Wavelet Analysis
PMC - PMC4749467
MID - NIHMS746722
OTO - NOTNLM
OT  - Dynamic time warping
OT  - Enteric nervous system
OT  - Extracellular action potentials
OT  - FET sensors
EDAT- 2016/01/01 06:00
MHDA- 2016/11/01 06:00
PMCR- 2017/03/01
CRDT- 2016/01/01 06:00
PHST- 2015/08/11 00:00 [received]
PHST- 2015/11/05 00:00 [revised]
PHST- 2015/12/12 00:00 [accepted]
PHST- 2017/03/01 00:00 [pmc-release]
PHST- 2016/01/01 06:00 [entrez]
PHST- 2016/01/01 06:00 [pubmed]
PHST- 2016/11/01 06:00 [medline]
AID - S0165-0270(15)00446-X [pii]
AID - 10.1016/j.jneumeth.2015.12.006 [doi]
PST - ppublish
SO  - J Neurosci Methods. 2016 Mar 1;261:97-109. doi: 10.1016/j.jneumeth.2015.12.006. 
      Epub 2015 Dec 21.