Recognition of Abnormal Chest Compression Depth Using One-Dimensional Convolutional Neural Networks

Recognition of Abnormal Chest Compression Depth Using One-Dimensional Convolutional Neural Networks

When the displacement of an object is evaluated using sensor data, its movement back to the starting point can be used to correct the measurement error of the sensor. In medicine, the movements of chest compressions also involve a reciprocating movement back to the starting point. The traditional me...

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Bibliographic Details
Main Authors: Liang Zhao, Yu Bao, Yu Zhang, Ruidong Ye, Aijuan Zhang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
convolutional neural network (CNN)
chest compression classification
accelerometer sensor application
cardiopulmonary resuscitation
Online Access:https://www.mdpi.com/1424-8220/21/3/846

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https://www.mdpi.com/1424-8220/21/3/846

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