Adaptation of innovative training programs for women in military education system

Current physical fitness standards for female military personnel based solely on age barely consider the physiological differences of the female body and their individual physical fitness. We believe that equipping gyms with smart exercise machines and personalized training programs will improve physical fitness programs for the female military personnel and maintain their health. This is especially important for military healthcare providers, whose performance directly impacts the lives and health of other service members. Enhancing the physical training of female military personnel and implementing a personalized physical training system based on smart training equipment and advanced monitoring technologies will overcome the limitations of current age standards and draw attention to female physiology. The objective is to make training more efficient and maintain the health of military personnel and the high professional performance of military healthcare providers. The review analyzes regulations, including the Order of the Minister of Defense of the Russian Federation, defining the fitness requirements to female military personnel. We present a review on the use of digital technologies in physical training, including contemporary studies of the effectiveness of wearable devices and smart training equipment. The introduced suite of intelligent training devices, including fitness trackers, smart watches, smart starting blocks, jump power sensors, Voltra I and Vitruvian Trainer+ smart strength training machines, and a NordicTrack Commercial 1750 treadmill, combined with training observation enabled creating personalized training programs and ensuring optimal physical development based on the individual needs. The training program for female military personnel based on innovative equipment, including wearable devices (fitness trackers and smart watches), smart starting blocks and sensors, Voltra I and Vitruvian Trainer+ digital trainers with artificial intelligence systems, and a NordicTrack Commercial 1750 treadmill with iFIT software, provides for a gradual load increase, from an adaptation week (70% intensity) to a peak load (90%–95%), followed by a recovery week. A key component of the personalized training algorithm is the continuous monitoring and adjustment of the training process based on data from wearable devices. This enables personalization of the training load, ensures optimal recovery, and prevents adaptation breakdowns.