This paper presents the development of a vital sign monitoring system designed specifically for professional athletes, with a focus on runners. The system aims to enhance athletic performance and mitigate health risks associated with intense training regimens. It comprises a wearable glove that monitors key physiological parameters such as heart rate, blood oxygen saturation (SpO2), body temperature, and gyroscope data used to calculate linear speed, among other relevant metrics. Additionally, environmental variables, including ambient temperature, are tracked. To ensure accuracy, the system incorporates an onboard filtering algorithm to minimize false positives, allowing for timely intervention during instances of physiological abnormalities. The study demonstrates the system’s potential to optimize performance and protect athlete well-being by facilitating real-time adjustments to training intensity and duration. The experimental results show that the system adheres to the classical “220-age” formula for calculating maximum heart rate, responds promptly to predefined thresholds, and outperforms a moving average filter in noise reduction, with the Gaussian filter delivering superior performance.

Wireless Body Area Networks (WBAN) are an important component of medical monitoring systems. A WBAN includes sensing nodes (SNs) and an access point (AP). A SN is an embedded devices that is capable of sensing many vital physiological and biological data such as body temperature, blood pressure and electrocardiogram (ECG), etc. from human body and sending them to the AP using its wireless interface. In this study, a WBAN system that can transmit any physiological signals considering the QoS requirements, is introduced. The proposed system is modeled and simulated using OPNET Modeler software for performance evaluation and uses IEEE 802.15.4 medium access control protocol. The results show that physiological signals from the human body can successfully be transferred with required QoS support by using the WBAN system implemented.

A patient monitoring system basically includes sensors and a microcontroller. The sensor devices that is capable of sensing many vital physiological and biological data such as body temperature, blood pressure and electrocardiogram (ECG), etc. from human body and sending them to the microcontroller using analog outputs. In this study, a real time infant monitoring system especially for hard of hearing parents, is developed. The proposed system works continuously in real time, monitoring vital physiological signals of an infant and generates alert (vibration and led blink) for abnormal situations. In alert case, both LCD screen and vibrating wristband which are attached to the body warns the parents. An Arduino Leonardo board has been used in system design which is attached by body temperature sensor, finger heartbeat detector and water sensor. The results show that physiological signals from the infant body can successfully and the all alarm condition function up properly.

In the last decade, the importance of Wireless Sensor and Actuator Networks has been increased continuously. As well as they have prominent deployment options, nowadays, they are also exploited in order for industrial systems to be controlled over wireless medium. In this study, a web-based user interface is developed for monitoring the environment using wireless sensor network infrastructure. The web-based interface is also extended so that a process control trainer system can be controlled remotely. The data coming from the sensors that are deployed in the environment randomly is delivered to the computer by means of the access point. The sensed data in XML format is then inserted into the PostgreSQL database using the socket program developed, after the parsing process. The data stored in the database is presented to end user clearly by the interface program written by using web technologies; XML, Perl, Php and jQuery. By the web-based interface, a process control trainer system is also controlled using XML-RPC and abovementioned software and hardware components.