Cargando…
Arrhythmia Evaluation in Wearable ECG Devices
This study evaluates four databases from PhysioNet: The American Heart Association database (AHADB), Creighton University Ventricular Tachyarrhythmia database (CUDB), MIT-BIH Arrhythmia database (MITDB), and MIT-BIH Noise Stress Test database (NSTDB). The ANSI/AAMI EC57:2012 is used for the evaluati...
Autores principales: | Sadrawi, Muammar, Lin, Chien-Hung, Lin, Yin-Tsong, Hsieh, Yita, Kuo, Chia-Chun, Chien, Jen Chien, Haraikawa, Koichi, Abbod, Maysam F., Shieh, Jiann-Shing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712868/ https://www.ncbi.nlm.nih.gov/pubmed/29068369 http://dx.doi.org/10.3390/s17112445 |
Ejemplares similares
-
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
por: Mathunjwa, Bhekumuzi M., et al.
Publicado: (2022) -
Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography
por: Sadrawi, Muammar, et al.
Publicado: (2020) -
Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks
por: Sadrawi, Muammar, et al.
Publicado: (2015) -
Non-Invasive Hemodynamics Monitoring System Based on Electrocardiography via Deep Convolutional Autoencoder
por: Sadrawi, Muammar, et al.
Publicado: (2021) -
Pain and Stress Detection Using Wearable Sensors and Devices—A Review
por: Chen, Jerry, et al.
Publicado: (2021)