000 01516 a2200337 4500
005 20250516013251.0
264 0 _c20110329
008 201103s 0 0 eng d
022 _a2375-7477
024 7 _a10.1109/IEMBS.2010.5627645
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aYe, Can
245 0 0 _aArrhythmia detection and classification using morphological and dynamic features of ECG signals.
_h[electronic resource]
260 _bAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
_c2010
300 _a1918-21 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aAlgorithms
650 0 4 _aArrhythmias, Cardiac
_xclassification
650 0 4 _aData Interpretation, Statistical
650 0 4 _aElectrocardiography
_xmethods
650 0 4 _aHeart Rate
650 0 4 _aHumans
650 0 4 _aNormal Distribution
650 0 4 _aReproducibility of Results
650 0 4 _aSignal Processing, Computer-Assisted
650 0 4 _aStatistics as Topic
700 1 _aCoimbra, Miguel Tavares
700 1 _aVijaya Kumar, B K
773 0 _tAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
_gvol. 2010
_gp. 1918-21
856 4 0 _uhttps://doi.org/10.1109/IEMBS.2010.5627645
_zAvailable from publisher's website
999 _c20393163
_d20393163