TY - JOUR
T1 - Transform domain features for ion-channel signal classification
AU - Ramamurthy, Karthikeyan Natesan
AU - Thiagarajan, Jayaraman J.
AU - Sattigeri, Prasanna
AU - Goryll, Michael
AU - Spanias, Andreas
AU - Thornton, Trevor
AU - Phillips, Stephen
N1 - Funding Information:
The study has been supported in part by NSF EXP award 0730810.
PY - 2011/7
Y1 - 2011/7
N2 - The study of the behavior of ion-channels can provide significant information to detect metal ions and small organic molecules in solution. Discrimination of different ion-channels can be performed by extracting appropriate features from their signals and using them for classification. In this paper, we consider features extracted from the Fourier, wavelet and Walsh power spectra of the ion-channel signals. We compare the performance of all the three sets of features using support vector machines. We perform classification of signals from simulated and real ion-channels and present the results. Results obtained show that the transform domain features achieve high classification rates in addition to high sensitivity and specificity rates.
AB - The study of the behavior of ion-channels can provide significant information to detect metal ions and small organic molecules in solution. Discrimination of different ion-channels can be performed by extracting appropriate features from their signals and using them for classification. In this paper, we consider features extracted from the Fourier, wavelet and Walsh power spectra of the ion-channel signals. We compare the performance of all the three sets of features using support vector machines. We perform classification of signals from simulated and real ion-channels and present the results. Results obtained show that the transform domain features achieve high classification rates in addition to high sensitivity and specificity rates.
KW - Classification
KW - Ion-channel
KW - Power spectral density
KW - Walsh power spectrum
KW - Wavelet power spectrum
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U2 - 10.1016/j.bspc.2010.09.002
DO - 10.1016/j.bspc.2010.09.002
M3 - Article
AN - SCOPUS:79959931418
SN - 1746-8094
VL - 6
SP - 219
EP - 224
JO - Biomedical Signal Processing and Control
JF - Biomedical Signal Processing and Control
IS - 3
ER -