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This study presents a custom surface electromyography (sEMG) data acquisition system combining the TI ADS1299 analog-to-digital converter, Teensy MicroMod micro-controller, and a Python-based graphical user interface for real-time signal monitoring and guided data collection. The system outperformed the widely used Ninapro dataset across all major classification metrics, demonstrating improved cla
