چکیده مقاله
Cardiac rehabilitation and structured exercise programs are essential components of cardiovascular health recovery With the rapid advancement of artificial intelligence AI in digital environments, it has become possible to personalize exercise and rehabilitation programs for cardiac patients, thereby enhancing both effectiveness and adherence This study aimed to evaluate the impact of an AI driven physiological data analysis system on optimizing exercise programs and improving health and cognitive outcomes in cardiac patients, while exploring its implications for the digital health business Ten cardiac patients aged 60 65 years from Farhangian Hospital, Tehran, participated in a 12 week digital rehabilitation program The intervention consisted of intermittent cycling sessions with variable intensity Physiological data, including VO2max, heart rate variability HRV , blood pressure, and cognitive performance Stroop test , were collected digitally An AI based algorithm analyzed these data to customize exercise intensity and recovery intervals for each participant Statistical analysis was performed using Repeated Measures ANOVA and paired t tests with a significance level of a=0 05 After the intervention, participants showed significant improvement in VO2max from 22 4 _x0000__x0000_ 3 1 to 25 6 _x0000__x0000_ 3 0 mL/kg/min, p
کلیدواژهها
نویسندگان
Mehrangiz Ghorbani
Department of Exercise Physiology, Islamic Azad University, Tehran, Iran Farhangian Hospital, Tehran, Iran
شیوه ارجاع
Ghorbani, Mehrangiz,1404,Application of Artificial Intelligence in Personalized Digital Cardiac Rehabilitation: A Novel Approach in Digital Health Business,Conference on Artificial Intelligence in Emerging Economies and Digital Businesses (AIEEDB),Yazd
ارائهشده در
مجموعه مقالات کنفرانس هوش مصنوعی در اقتصادهای نوظهور و کسب وکارهای دیجیتال21 آبان 1404 · یزد