MOBILE DETACHER USING A HEART RATE MONITORING SYSTEM

Mobile phones are the most effective devices used for communication and are playing a vital role in every human being’s life. Most of the mobile users are addicted to mobile phones. Superfluous use of mobile phones is interconnected with undesirable effects on human health. The best way to restrict the user from using the mobile phone unnecessarily is to limit gaming. Since Heart Rate (HR) is a well-being parameter generally used as a marker describing the autonomous nervous system functionality, it can be employed to evaluate the player condition. For the purpose of player condition estimation, a wearable device has been designed and utilized for the calculation of HR and transmission of HR readings to the mobile game application. The Mobile Game Application has been designed in a way to process the HR values and evaluate the screen time of the gaming app. If the application records an abnormal heart rate along with exceeded screen time, then the application will generate an alert message followed by an automatic termination of the game and sends a message regarding abnormality to the prescribed mobile number. KEYWORDS: Mobile addiction, gaming, heart rate, player condition, screen time, alert message

Specifics of biomedical parameters estimation of human organism respiratory subsystem

Offered approach to the functional state of organism estimation as holistic system with the complex of interrelated, interactive, mutually affecting functional subsystems of homeostatic type, which may be described as statistically stable biomedical parameters complex. Offered integral index helps to estimate the respiratory subsystem condition using basic organism indexes. Information model of the biomedical parameters transformation was developed. Input quantities uncertainty analysis of the mentioned subsystem information model of the organism gave an opportunity to increase probability of making correct decision concerning the biological objects condition. Methodic of the respiratory subsystem condition estimation was developed and possible conditions range was determined.