Pieprzycki, AdamKról, DanielWawryka, PiotrŁachut, KatarzynaHamera, MateuszSrebro, Bartosz2023-09-212023-09-212023Pieprzycki A., Król D., Wawryka P., Łachut K., Hamera M., Srebro B., Analysis of Surface EMG Signals to Control of a Bionic Hand Prototype. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 145-150, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.21.978-83-66741-92-8http://hdl.handle.net/11652/4797https://doi.org/10.34658/9788366741928.21The aim of the presented project is to develop a comprehensive system for acquiring surface EMG data and carry out time-frequency analysis to determine useful parameters for subsequent gesture classification for a simple bionic hand prosthesis. This system is expected to assist in controlling both the prosthetic hand and the robotic hand in making precise gestures with the fingers on the hand. The article presents the methods for acquiring and processing multi-channel EMG signals and feature extraction for gesture recognition by an artificial neural network (ANN).enDla wszystkich w zakresie dozwolonego użytkuFair use conditionbionic handsurface EMGsEMGneural networkNNfast Fourier transformFFTHilbert-Huang TransformHHTblind source separationBSSręka bionicznapowierzchnia EMGsEMGsieć neuronowaNNszybka transformata FourieraFFTtransformata Hilberta-HuangaHHTślepa separacja źródłaBSSRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.21