Supplementary Digital Materials Associated with the Doctoral Thesis "Methodology for Surface Electromyography Acquisition and Processing Oriented toward the Real-Time Control of Transradial Prostheses, with a Somatotopic Mapping Protocol Using Transcutaneous Electrical Nerve Stimulation
This repository contains the supplementary digital materials associated with the doctoral thesis developed by Luis Antonio Bautista Hernandez at Universidad Industrial de Santander.
The deposited materials include Python source code, experimental myoelectric data, and videos documenting the acquisition, processing, classification, and real-time use of surface electromyographic signals for transradial prosthetic control.
The Python software supports different stages of the proposed methodology, including four-channel surface electromyography acquisition, real-time visualization, sliding-window segmentation, gesture labeling, dataset construction, neural-network training, model evaluation, and real-time motor-intention inference.
The experimental data are associated with seven motor-intention classes: thumb–index pinch, thumb–middle-finger pinch, thumb–ring-finger pinch, thumb–little-finger pinch, power grasp, open hand, and rest. The experimental methodology used four acquisition channels, a sampling frequency of 1000 Hz, sliding windows of 200 ms, and a window step of 50 ms.
The videos provide complementary audiovisual evidence of surface electromyographic signal acquisition, execution and recognition of the proposed gestures, neural-network inference, prosthetic actuation, and operational validation of the integrated real-time myoelectric control system.
The repository contains the following principal files: Python_Software.rar, which includes the Python source code associated with signal acquisition, dataset construction, neural-network training, model evaluation, and real-time inference; Myoelectric_Experimental_Data.rar, which contains the experimental surface electromyographic data associated with the acquisition, training, validation, testing, and classification procedures; Experimental_Videos.rar, which provides audiovisual documentation of the experimental procedures and operation of the developed myoelectric prosthetic-control system; and README_Zenodo_Doctoral_Thesis.md, which provides the general description, technical context, ethical considerations, and guidance for interpreting the deposited materials.
These supplementary materials support the methodology, results, and experimental validation presented in the doctoral thesis. They must be interpreted together with the experimental procedures, quantitative results, limitations, and ethical considerations reported in the thesis.
Participant information, where present, is represented using anonymized identifiers. The deposited materials must not be used to attempt to identify any participant, for autonomous clinical decision-making, or for unsafe prosthetic actuatio
