Information technology for predicting human health under various air and water conditions

Purpose. The technology is designed to predict human thermophysiological states and assess the risk of hyperthermia or hypothermia under extreme environmental conditions.

Technical Specifications. Client application: Android 8.0, internet connection, Google services. Server: Processor: 64-bit dual-core processor with a minimum clock speed of 1.3 GHz; RAM: 4 GB or more; compatible with MS Windows 10; Network Interfaces: Ethernet. Universal ports for connecting to external devices.

Scope. Healthcare, digital medicine, environmental medicine, civil defense services, professional activities, occupational safety, physical education, and sports.

Advantages. The use of modern smartphone technologies based on a complex of mathematical models of human thermoregulation enables prompt decision-making regarding exposure to extreme environmental conditions.

Technical and Economic Impact. Analysis and monitoring of human physiological parameters under extreme environmental factors (temperature, humidity, duration of exposure to water, intensity of physical activity, use of protective equipment, etc.), particularly during professional activities, reduces health risks, which significantly reduces the time and cost of treatment. Furthermore, the use of personalized mobile medicine improves the effectiveness of preventative measures, increases public awareness of healthy lifestyles, and stimulates people’s interest in maintaining their health.

Description. The technology is based on a combination of modern mathematical models of human physiological systems and mobile technologies for assessing human condition. The models take into account individual characteristics, air and water environment parameters, immersion conditions, biophysical characteristics of clothing, duration, type, and intensity of physical activity. The models predict human thermophysiological state parameters: temperature, metabolism, heat flow, cardiovascular variables, thermoregulatory responses, etc. The technology predicts a person’s physiological state in hot or cold environments, taking into account physical activity.

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