A study of millimeter-wave communication in remote biomechanical monitoring
Abstract
Millimeter-wave communication technology offers high precision, low latency, and non-contact measurement advantages in remote biomechanical monitoring. This study develops a millimeter-wave radar-based monitoring system for precise detection of movement trajectory, heart rate, respiration, and muscle activity. By integrating Short-Time Fourier Transform (STFT), Doppler analysis, and deep learning, the system enhances signal processing and enables multi-parameter fusion analysis. The results support applications in smart medicine, remote rehabilitation, and sports science, advancing millimeter-wave communication in biomechanical monitoring.
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