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Abstract

In recent years, there has been growing interest in training programs that enhance physical fitness and overall health. Among the most prominent is High-Intensity Interval Training (HIIT), which has demonstrated effectiveness in improving cardiovascular efficiency and boosting physical performance within a relatively short period. With rapid advancements in artificial intelligence (AI), it has become possible to develop smart training solutions that rely on the analysis of biometric and physiological data to deliver personalized programs tailored to individual needs. AI algorithms can analyze users' biological and physical data and generate training regimens based on physiological responses, opening new avenues for improving exercise efficacy while minimizing injury risk. This study investigates the impact of an AI-supported smart HIIT program on cardiovascular fitness and physical performance among young adults aged 20 to 40 years. An experimental methodology was employed, involving a sample of 60 participants randomly divided into two groups: an experimental group of 30 individuals who followed the smart HIIT program, and a control group of equal size that followed a traditional program. Multiple research tools were used, including the AI-driven HIIT protocol and standardized assessments of cardiovascular capacity and physical performance. The results revealed a significant improvement in the experimental group, which outperformed the control group in both cardiovascular and performance measures. These findings highlight the effectiveness of the implemented program and underscore the importance of integrating technology-enhanced training approaches to promote physical health and cardiovascular fitness. The outcomes also affirm the role of AI-supported technologies in achieving superior results in health and performance domains, and this achieves one of the sustainable development goals of the United Nations in Iraq which is (Quality Education).

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370

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384

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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