Construction of medical equipment-based doctor health monitoring system

Abstract

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.

Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System

“…In the recent past, several studies have highlighted the importance of multi access physical monitoring systems for observing physical activities of human, which help to infer and analyse the healthcare treatment process of the human body [1]. Through the formation and application of the highly accurate interconnected health monitoring system, we can predict the health conditions of humans using rapid healthcare services in psychiatric emergency service (PES) [2]. In the near future, the medical industry will integrate multimedia technology, artificial intelligence, intelligent Internet of Things, and other high-end technologies to promote the enhancement of wearable Internet of Things (IoT) medical devices.…”

Medical Cyber–Physical Systems: A Solution to Smart Health and the State of the Art

“…Li et al [153] carried out all-around safety monitoring and early warning for pregnant women through data transmission between cloud computing centers and mobile devices, doctors, and guardians. Wang et al [95] completed the processing and analysis of medical data through the data interaction between cloud medical service center and the hospital's artificial intelligence system and control system, so as to generate the patient's medical report and provide it to doctors for diagnosis. MCPS with independent private cloud hands over the main data analysis load to the high-performance cloud computing center for processing.…”

“…In the MCPS environment, medical staff not only needs to understand the patient's physical condition, medical equipment, and perception of the medical environment but also can monitor the medical staff's own situation through the HMS. Wang et al [95] refer to doctors' past health data from the cloud server and provide appropriate suggestions and predictions about doctors' health status. The proposed doc-care monitoring system can provide doctors with their own health information so that doctors can better diagnose patients.…”