Description
This doctoral thesis introduces an innovative concept for recording human movement sequences using a miniaturized electromyographic (sEMG) sensor with integrated localization functionality. The sensor, optimized for minimal size and weight, enables wireless data transmission and localization via the same radio channel, reducing complexity in clinical applications and installation times. The work is motivated by the growing prevalence of neurological diseases that impair movement, highlighting the need for improved motion analysis. The system offers a 3D/6D analysis combined with muscle activity data, providing a more efficient alternative to traditional, cumbersome methods. The thesis describes the development and validation of the sensor, which features an RF radar MMIC and sEMG signal processing with interference suppression, enabling accurate movement analysis.
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