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1 Ergebnisse
1
Performance Analysis of ECG Disease Classification using SV..:
, In:
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
,
Singh, Davinder Paul
;
Pasupulla, Ajay Prakash
;
Shanko, Ayano
... - p. 1-4 , 2024
Link:
https://doi.org/10.1109/IATMSI60426.2024.10502948
RT T1 <cTitle>2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)</cTitle>: T1 <Title>Performance Analysis of ECG Disease Classification using SVM classifier</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10502948&Exemplar=1&LAN=DE A1 Singh, Davinder Paul A1 Pasupulla, Ajay Prakash A1 Shanko, Ayano A1 P, Nithya A1 Neha A1 Singh, Ram Murat YR 2024 K1 Support vector machines K1 Technological innovation K1 Databases K1 Hospitals K1 Arrhythmia K1 Electrocardiography K1 Rhythm K1 Biomedical Signal K1 ECG signal K1 MIT-BIH K1 SVM SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/IATMSI60426.2024.10502948 DO https://doi.org/10.1109/IATMSI60426.2024.10502948 SF ELIB - SuUB Bremen
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