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September 5, 2025SensorsOpen Access

Analysis of Surface EMG Signals to Control of a Bionic Hand Prototype with Its Implementation

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Analysis reveals gesture recognition using surface electromyographic signals in healthy adults, suggesting advances in bionic hand control.

The study achieved accurate gesture recognition for bionic hand control, enhancing prosthetic functionality.
Using signal processing techniques, it obtained crucial features from surface electromyographic signals for classification.
Involving 109 healthy participants, the study evaluated five predefined gestures for effective control of the bionic hand.
The implementation successfully fused machine learning methods and 3D printing technology to develop an advanced prosthetic solution.

Pieprzycki et al. (2025) studied this question.

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Analysis reveals gesture recognition using surface electromyographic signals in healthy adults, suggesting advances in bionic hand control.