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1.
J Med Syst ; 43(6): 161, 2019 Apr 26.
Artículo en Inglés | MEDLINE | ID: mdl-31028502

RESUMEN

The original version of this article unfortunately contained a mistake. Corrections in equations which were highlighted in a doc file were not carried out. The original version has been corrected.

2.
J Med Syst ; 43(5): 138, 2019 Apr 10.
Artículo en Inglés | MEDLINE | ID: mdl-30969376

RESUMEN

The health status of doctors has been overlooked by the society and even the doctors themselves, especially those doctors who work long hours. Their attention is always on patients, so they are more likely to ignore their own health problems. Therefore, in this paper, we propose a medical equipment-based doctor health monitoring system (hereinafter referred to as Doc-care). Doc-care can be used as a private health manager for doctors, and doctors can monitor their health indicators in real time while using medical equipment to aid diagnosis and treatment. When the doctor's health status is neglected, Doc-care can protect the doctor's health; combining with the convolutional neural network method to detect and grade the doctor's health indicators, to assess the doctor's real-time health status. After referring to the doctor's past health data in the cloud server, giving appropriate advice and predictions about the doctor's health status.


Asunto(s)
Estado de Salud , Monitoreo Ambulatorio/instrumentación , Redes Neurales de la Computación , Médicos , Dispositivos Electrónicos Vestibles , Nube Computacional , Fatiga/diagnóstico , Fatiga/fisiopatología , Humanos , Estrés Psicológico/diagnóstico , Estrés Psicológico/fisiopatología , Telemetría/instrumentación
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