Arrhythmia recognition of ECG signals on Raspberry Pi by Artificial Neural Networks

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dc.contributor.authorGerelmaa Tuguldur
dc.date.accessioned2022-12-13T08:45:18Z
dc.date.available2022-12-13T08:45:18Z
dc.date.issued2022-12
dc.date.updated2022-12-13T08:45:18Z
dc.identifier.issue2022/2023/1
dc.identifier.urihttps://hdl.handle.net/2437/342303
dc.identifier.volume2022/2023/1
dc.publisherDETEP
dc.rights.holderGerelmaa Tuguldur
dc.rights.holderGerelmaa Tuguldur
dc.titleArrhythmia recognition of ECG signals on Raspberry Pi by Artificial Neural Networks
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