Hart Rate Varibilityb (HRV) Parameters for ECG Signal and Upper Limb Movement Dataset

Heart Rate Variability (HRV) parameters provide valuable insights into the autonomic nervous system’s regulation of the cardiovascular system in response to various physiological conditions, particularly during dynamic tasks. This dataset consists of ECG recordings obtained during the execution of three dynamic tasks based on the three-dimensional movement of the upper limb. The data is available in both .XLSX and .CSV formats, containing 166 rows and 21 columns, all of which correspond to HRV parameters such as RR intervals, heart rate, and frequency-domain measures. These parameters include MinRR, AvgRR, SDNN, LF/HF ratio, and power spectral components, offering a comprehensive view of cardiovascular responses during physical exertion and recovery. The dataset is designed to support the development of AI models aimed at various applications, including rehabilitation, sports performance monitoring, and predictive health systems. By utilizing this database, researchers and practitioners can develop machine learning algorithms to enhance personalized health monitoring, optimize athletic training, and contribute to advancements in human-machine interaction.