# Artificial Intelligence, Sensors and Vital Health Signs: A Review
## 2 Related Works
The system is also believed to have other potential applications, including people counting, fall detection, activity level, and human gait recognition. Another work based on rehabilitation in telemedicine [14] presented the physiological parameters of smart wearable devices. The effects of wearable medical devices on vital sign monitoring were explored. For this research, sixty patients of young ages were chosen from the medical ward using common vital signs such as heart rate, body temperature, blood pressure, and oxygen saturation. From the analysis of the data, it was concluded that the wearable medical devices (WMDs) and the traditional devices had similar accuracy in the monitoring and measuring of vital signs, but the WMDs had better efficiency, quality, and safety and could automatically import data in a few seconds, eliminating error rate and time complexity. It was further recommended that to improve the performance of WMDs in telemedicine rehabilitation, future research should select patients from different departments, the vital signs should be divided into different levels for hierarchical analysis, and the performance of the WMDs should be evaluated using repeatable and constant measurements. A systematic literature review (SLR) [15] reported on the application of wearable IoT sensors for monitoring the physiological parameters of patients during epidemics. The review presented AI-based wearable sensors for disease control and vital sign monitoring in epidemic outbreaks. According to this study, wearable smart technologies can monitor the physiological vital signs of patients in epidemic outbreaks. It also concluded that IoT smart sensors are suitable systems that make monitoring and detecting patients' conditions easier for healthcare providers such as physicians, nurses, and specialists and have the greatest potential for diagnosing and monitoring the early signs of epidemic diseases. Therefore, using suitable technological IoT-based solutions could greatly enhance the control of epidemic disease as well as the application of sensors for the continuous monitoring of vital signs. In another study, [16] presented an intelligent healthcare service for monitoring vital signs. The proposed system can be used to generate a report on the health conditions and vital signs of individuals. For evaluation, six participants from Spain and Slovenia (three from each) utilized the proposed system for about eight weeks in their homes to monitor their health. The basic metrics such as sensitivity, specificity, and total accuracy of the system achieved during this period of testing by the participants were 90%, 97%, and 96%, respectively. A light version of the proposed framework was applied through a project named SAAPHO; four sensor devices for healthcare were implemented in the framework. The devices monitored BP, blood glucose, weight, and activity and were connected to an Android device via Bluetooth, through which the sensor measurements were obtained and sent to the cloud storage. The remote data were then analyzed, and a decision was taken by doctors or clinicians, and feedback, recommendations, alarms, and reminders were then generated and provided to the user. Recently, another IoT-based wearable device designed for the observation of quarantined remote coronavirus disease (COVID-19) patients was proposed [17]. This system is designed to measure various vital signs related to COVID-19 by monitoring the real-time geolocation positioning system (GPS) data (geographical information) of potentially infected patients. One significant aspect of this proposed system is that it provides medical authorities with useful geographical and health-care data of potentially infected people that can be stored in a database and used to predict and analyze the situation. The vital signs considered in this proposal are pulse rate, temperature, and oxygen saturation.