Construction of medical equipment-based doctor health monitoring system

被引：6

作者：

Wang, Shaogang ^{[1
]}

Chen, Shuai ^{[2
]}

Zhou, Xianghua ^{[2
]}

Mao, Yeyun ^{[2
]}

Li, Ying ^{[2
]}

Long, Gang ^{[2
]}

Li, Cong ^{[1
]}

Liu, Wei ^{[2
]}

Long, Xueping ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Urol, Wuhan 430030, Hubei, Peoples R China

[2] YouCare Technol Co Ltd, Wuhan 430223, Hubei, Peoples R China

[3] Univ Calif Los Angeles, Dept Phys & Astron, Los Angeles, CA 90095 USA

来源：

JOURNAL OF MEDICAL SYSTEMS | 2019年 / 43卷 / 05期

关键词：

Doctor health; Doctor health monitoring system; Physical health indicators; Convolutional neural network; Health status; SENSOR;

D O I：

10.1007/s10916-019-1255-z

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页数：7

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