# Smart Healthcare Applications over 5G Networks: A Systematic Review
## 3 Results and Discussion
#### 3.1.2 Real-Time Continuous Monitoring
[42] consists of a mechanism for monitoring the patients' respiratory status with chronic respiratory diseases. The system is equipped with three devices: an Airgo band, which provides a signal similar to the thoracic circumference; a uHoo environmental sensor, which measures parameters such as temperature, humidity, and pressure; and a SAT-30 oximeter, to obtain parameters such as heart rate and blood oxygen saturation. The band is connected to an iPad and the parameters are collected through an iOS app to be analyzed by doctors. The neural network system suggested by [PERSON] et al. [50] was developed for disease monitoring. It uses body sensors such as a pulse sensor, blood-pressure sensor, temperature sensor (MAX30205), and oximeter sensor (MAX30100). The medical parameters (blood pressure, body temperature, heart rate, and oxygen saturation) collected by the sensors are stored on a cloud server. An ANN is used to analyze and predict whether the person's parameters are normal values or threshold values indicative of disease. The ANN training phase is performed using data from patients' clinical records and previous data from others. [PERSON] et al. [52] is another author who proposed a system for quantitative detection of people infected with COVID-19. Unlike the system presented by [PERSON] et al. [48], this system uses an ultra-sensitive fluorescence sensor that performs the measurement of COVID-19 peak protein and nucleocapsid protein through nasopharyngeal swab samples. The information captured by the sensor is sent to a mobile device via short-range communication technology and then to a database via the cellular network. In addition, monitoring is done through the use of a mobile app that integrates DL and fuzzy logic algorithms. [PERSON] et al. [55] also presented a system for biomedical signals' remote monitoring in patients infected with COVID-19. The authors mentioned that a monitoring experiment was carried out on 2000 individuals of different ages for 24 weeks to obtain authentic data of biomedical signals (body temperature and heart rate). The data collection is performed using wearable IoT devices that transfer data to a cell phone via short-range communication (Bluetooth, Wifi), and the data are sent in real time to a server in the cloud via the cellular network. For the training, 8,064,000 biomedical data were collected; 613 individuals presented health problems (according to the doctor) during the experiment process. [PERSON] et al. [44] proposed the use of body sensors and wearable devices for health monitoring in athletes by collecting vital signs such as oxygen saturation level, heart rate, body temperature, and blood pressure. The information collected by the devices can be transmitted to a database where the doctor can monitor and analyze their physical health status and their performance related to the sport they practice. [PERSON] et al. [26] proposed a system for smart health management by using AI, wearable devices, and body sensors (electrocardiogram sensor, blood pressure sensor, temperature sensor, electromyography sensor, blood oxygen sensor) for information gathering and disease monitoring from the extracted sensory parameters. The system uses a cloud platform for the medical records storage collected from the sensors. In addition, with the help of AI applied to RX images, electronic health reports (ERHs) are generated, which helps specialists in the analysis and diagnosis process. [PERSON] et al. [25] exposed the merits and new smart health innovations in healthcare. They mentioned that several systems have been developed, such as glucose monitoring programs for patients with high blood sugar levels, through the use of smart meter sensors; a system for monitoring patients suffering from asthma with the use of IoT technology; a system for Parkinson's monitoring through ingestible sensors; and a system for monitoring patients during the burning of calories, through the use of the \"Hike Run Beta\" app that tracks the amount of steps an individual takes. [PERSON] et al.