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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Detalles Bibliográficos
Autores principales: Zhao, Liang, Bao, Yu, Zhang, Yu, Ye, Ruidong, Zhang, Aijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866008/
https://www.ncbi.nlm.nih.gov/pubmed/33513994
http://dx.doi.org/10.3390/s21030846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866008/
https://www.ncbi.nlm.nih.gov/pubmed/33513994
http://dx.doi.org/10.3390/s21030846

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