Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN

Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN

Abstract This research study demonstrates an efficient scheme for early detection of cardiorespiratory complications in pandemics by Utilizing Wearable Electrocardiogram (ECG) sensors for pattern generation and Convolution Neural Networks (CNN) for decision analytics. In health-related outbreaks, ti...

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Bibliographic Details
Main Authors: HongYuan Lu, XinMiao Feng, Jing Zhang
Format: Article
Language:English
Published: BMC 2024-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
CNN
IoT
Remote patient
Sensor data processing
Predictive modeling
Cardiorespiratory
Online Access:https://doi.org/10.1186/s12911-024-02599-9

Internet

https://doi.org/10.1186/s12911-024-02599-9

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