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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Jun Zhong, Dong Hai, Jiaxin Cheng, Changzhe Jiao, Shuiping Gou, Yongfeng Liu, Hong Zhou, Wenliang Zhu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/4afda4a83b3a4b41b7586247173ede0e
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!