Implementation of EMG Signal Measurement for the Control of the 3D Hand Prototype

The presented work focuses on the development of a measuring stand for the electromyographic signal and the hand clamp force signal. Two approaches to the implementation of the topic have been described - the first one uses a specially prepared prototype board and the second one uses the Arduino Uno module for active synchronization of measurements. The methodology of work on both versions was presented along with the measurement procedure used. The idea was to make a special EMG measurement system with parallel transmission of the clamp force value from the dynamometer. The data obtained in this way are to be used to train a machine learning model determining the value of the clamping force of the hand prosthesis. The paper deals with the issues of prosthesis construction, measurement and data storage methods, as well as the course of further planned works on the project. The presented solution has a chance to introduce methods that realistically reduce the development costs of a hand prosthesis, while improving its functioning. To achieve this, the following assumptions were adopted: the acquisition of the EMG signal using a single MyoWare Muscle Sensor (Sparkfun®) sensor on the superficial flexor of the fingers (Latin Musculus flexor digitorum superficialis), a constant ratio of the number of force samples to the number of electromyogram samples, the use of commonly available electronic components and limitations construction costs.