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Abstract
The development of artificial intelligence (AI) technology has enabled more adaptive and intelligent heart rate monitoring systems for sports training. This research aims to analyze the significance of AI-based heart rate monitoring devices in supporting athletic performance. The device applies machine learning algorithms to detect, predict, and provide real-time feedback on heart rate conditions during exercise. Using a literature review approach, data were analyzed descriptively and qualitatively. Results show that the device improves training effectiveness and helps prevent overexertion or injury risks through precise and adaptive monitoring. AI-powered monitoring systems are highly promising in shaping more personalized and data-driven sports training protocols