Convolutional Autoencoding and Gaussian Mixture Clustering for Unsupervised Beat-to-Beat Heart Rate Estimation of Electrocardiograms from Wearable Sensors

Heart rate is one of the most important diagnostic bases for cardiovascular disease. This paper introduces a deep autoencoding strategy into feature extraction of electrocardiogram (ECG) signals, and proposes a beat-to-beat heart rate estimation method based on convolution autoencoding and Gaussian...

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Detalles Bibliográficos
Autores principales: Zhong, Jun, Hai, Dong, Cheng, Jiaxin, Jiao, Changzhe, Gou, Shuiping, Liu, Yongfeng, Zhou, Hong, Zhu, Wenliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587957/
https://www.ncbi.nlm.nih.gov/pubmed/34770469
http://dx.doi.org/10.3390/s21217163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587957/
https://www.ncbi.nlm.nih.gov/pubmed/34770469
http://dx.doi.org/10.3390/s21217163

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