# Artificial Intelligence, Sensors and Vital Health Signs: A Review
## 2 Related Works  
A systematic literature search and analysis of the evolving IoT cloud-based concept for IoT in healthcare was proposed in [8]. Certain challenges in managing clinical information and patient data were pointed out, including privacy and security, due to the vulnerability of IoT implementations. The difficulty of having readily established connectivity between IoT devices to obtain real-time data creation and collection, the complexities that arise in managing health devices due to the wide differences in clinical equipment, sensors, wearable devices, operating systems, and platforms, the legal and social considerations of the storage and use of data, as well as the large amount of data generated within the healthcare system will demand that attention be paid to cloud storage, data processing, and transportation. In this system, vital health signs parameters, such as temperature, respiration, and pulse, are measured using sensors. The data from these sensors are then sent to electronic health (E-health) platform that intelligently uses the obtained data to connect patients to a corresponding doctor who has access to the patients' data and can give recommendations, medications, and prescriptions. Other systems reviewed in this work include the application of the IoT in healthcare delivery, low-cost IoT-based communication technologies for monitoring the vital signs of patients in hospitals, and wirelessly sending the data to doctors in a remote location for further analysis. An IoT-based health application reminder may be used to remind patients of the appropriate medication to take and the right time to take them. Additionally, an IoT system may be designed to track the conditions of soldiers in military operations. In a review of the IoT and its application in healthcare [9], several IoT-based techniques, such as radio frequency identification (RFID), internet protocols, Bluetooth, WSN, and Zigbee, were mentioned, and different IoT platforms implemented for healthcare applications were reviewed by the authors. One of the reviewed systems and applications includes a remote patient monitoring system that is a combination of RFID and IoT technology that constantly monitors patients using medical sensors that collect vital signs data from patients and send them to processing centers (cloud storage) through communication devices. Analytics devices are then used to process the data for further clinical actions. Another is an IoT-based health platform that uses an intelligence system that consists of three components, iMedbox, iMedPack, and Bio-Patch, which work together to facilitate medication management and monitor patients' health symptoms. A third system is a body temperature management system that helps track and monitor human BT. In the reviewed systems and applications, the vital sign measuring devices recorded body weight, blood glucose, HR, and BP. In a comprehensive literature review presented in [10] on the application of the IoT in vital signs monitoring, a qualitative analysis of several research articles focusing on the use of wearable body sensors/IoT for health monitoring was conducted from different perspectives, such as the publication years, sensor type, sample sizes, context, approach, and participant demographics. Some disadvantages in research analysis concerning both sample size and participant demographics that affected the outcomes were identified. In the review, seventy-three articles published between 2010 and 2019 relating to heart diseases, gait and fall, diabetes, physical activity recognition, rehabilitation, stress, and sleep were considered. Some of the shortcomings identified were that most of the reviews focused on gait and fall, and simulations included very few participants who were more likely to experience abnormal gait and sleeping disturbances. The majority of the works did not study the ideal sensor functionality, which affects the results outcomes.