DS-CNN: Dual-Stream Convolutional Neural Networks-Based Heart Sound Classification for Wearable Devices

Cardiovascular diseases (CVDs) is considered a serious public health problem due to the uncertainty of its onset. Consuming wearable devices have increasing popularities for healthcare monitoring, and many of them are capable of continuous monitoring and early detection of CVDs. This paper proposes...

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Veröffentlicht in:	IEEE transactions on consumer electronics 2023-11, Vol.69 (4), p.1186-1194
Hauptverfasser:	Guo, Zhihuan, Chen, Junxin, He, Tongyue, Wang, Wei, Abbas, Haider, Lv, Zhihan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Biomedical monitoring Biomedical signal processing Cardiology Cardiovascular disease Cardiovascular disease detection Cardiovascular diseases Classification Convolution Convolutional neural network Convolutional neural networks CVD detection Deep learning Deep neural networks Diagnosis Disease detection Diseases Extraction Feature extraction Features extraction Fourier transforms Heart Heart sound classification Heart sounds heart sounds classification Monitoring Neural networks Performance evaluation Public health Recording Sound classification Sound recordings Wearable computers Wearable devices Wearable technology
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