ECGPsychNet: an optimized hybrid ensemble model for automatic detection of psychiatric disorders using ECG signals.

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第一作者： Smith Kashiram,Khare

第一单位： Electrical and Computers, Aarhus Universitet, Finlandsgade 22, Aarhus N, Aarhus, 8200, DENMARK.

作者： Smith Kashiram,Khare ^[1] ; Vikram M,Gadre ^[2] ; Rajendra,Acharya ^[3]

作者单位： Electrical and Computers, Aarhus Universitet, Finlandsgade 22, Aarhus N, Aarhus, 8200, DENMARK. ^[1] Electrical Engineering Department, IIT Bombay, Powai, Bombay, India, Mumbai, Maharashtra, 400076, INDIA. ^[2] University of Southern Queensland, University of Southern Queensland, Toowoomba, Queensland, 4350, AUSTRALIA. ^[3]

关键词 ECG signals Psychiatric disorder detection bipolar disorder depression nonlinear decomposition schizophrenia

DOI 10.1088/1361-6579/ad00ff

PMID 37802061

发布时间 2023-10-06

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ECGPsychNet: an optimized hybrid ensemble model for automatic detection of psychiatric disorders using ECG signals.

Physiological measurement

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ECGPsychNet: an optimized hybrid ensemble model for automatic detection of psychiatric disorders using ECG signals.

Physiological measurement

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Physiological measurement

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