TY - JOUR
T1 - Similarity-based fuzzy classification of ECG and capnogram signals
AU - Betancourt, Janet Pomares
AU - Fatichah, Chastine
AU - Tangel, Martin Leonard
AU - Yan, Fei
AU - Sanchez, Jesus Adrian Garcia
AU - Dong, Fang Yan
AU - Hirota, Kaoru
PY - 2013/3
Y1 - 2013/3
N2 - A method for ECG and capnogram signals classification is proposed based on fuzzy similarity evaluation, where shape exchange algorithm and fuzzy inference are combined. It aims to be applied to quasi-periodic biomedical signals and has low computational cost. On the experiments for atrial fibrillation (AF) classification using two databases: MIT-BIH AF and MITBIH Normal Sinus Rhythm, values of 100%, 94.4%, and 97.6% for sensitivity, specificity, and accuracy respectively, and execution time of 0.6 s are obtained. The proposal is capable of been extended to classify different diseases, from ECG and capnogram signals, such as: Brugada syndrome, AV block, hypoventilation, and asthma among others to be implemented in low computational resources devices.
AB - A method for ECG and capnogram signals classification is proposed based on fuzzy similarity evaluation, where shape exchange algorithm and fuzzy inference are combined. It aims to be applied to quasi-periodic biomedical signals and has low computational cost. On the experiments for atrial fibrillation (AF) classification using two databases: MIT-BIH AF and MITBIH Normal Sinus Rhythm, values of 100%, 94.4%, and 97.6% for sensitivity, specificity, and accuracy respectively, and execution time of 0.6 s are obtained. The proposal is capable of been extended to classify different diseases, from ECG and capnogram signals, such as: Brugada syndrome, AV block, hypoventilation, and asthma among others to be implemented in low computational resources devices.
KW - Capnogram
KW - Classification
KW - ECG
KW - Fuzzy inference
KW - Similarity
UR - http://www.scopus.com/inward/record.url?scp=84879356112&partnerID=8YFLogxK
U2 - 10.20965/jaciii.2013.p0302
DO - 10.20965/jaciii.2013.p0302
M3 - Article
AN - SCOPUS:84879356112
SN - 1343-0130
VL - 17
SP - 302
EP - 310
JO - Journal of Advanced Computational Intelligence and Intelligent Informatics
JF - Journal of Advanced Computational Intelligence and Intelligent Informatics
IS - 2
ER -