Abstract
In this research project, we aimed to design and implement an upper limb prosthesis controlled by myoelectric signals using a digital signal processor platform. To emulate the seven main movements of a human arm, a robotic arm was produced that was capable of using the control signals generated by a human arm, where we captured the electrical pulses to design a silver/silver chloride contact type surface electrode using a plating process in a chemical laboratory. This method is an alternative technological support for amputees or partially paralyzed muscles, which typically remain intact so they can exercise control. The signals produced by these muscles can operate a prosthesis or a robotic device. Therefore, the prototype arm design process comprised the following steps. The dimensions and joints of a human arm were determined and reproduced as a robotic arm, where software was designed to run simulations of the robotic arm to make corrections before the final prototype design was produced. The robotic arm was implemented according to the specifications obtained and a motor control circuit was produced to replicate each of the seven movements of the robotic arm. Finally, a validation was performed for each of the movements performed by the robotic arm by considering the position, speed of flexion, and extension of the joints.
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References
Acosta M (2000) Tutorial sobre redes neuronales aplicadas en Ingeniera eléctrica y su implementación. Universidad Tecnológica de Pereira
Betancourt G, Suárez E, Franco, J (2004) Reconocimiento de patrones de movimiento a partir de señales electromiografícas. In: Scientia et Technica Año X, vol 53, no 26. UTP. ISSN 0122–1701
Du S, Vuskovic M (2003) Temporal vs. spectral approach to feature extraction from prehensile EMG signals. Department of Computer Science, San Diego State University, San Diego
Englehart K (1998) Signal representation for classification of the transient myoelectric signal. Doctoral Thesis
Englehart K, Hudgins B, Parker P (2001) A wavelet-based continuous classification scheme for multifunction myoelectric control. IEEE Trans Biomed Eng 48(3):302–311
Farfan F, Polittiy J, Felice C (2005) Evaluación de patrones temporales y espectrales para el control Mioeléctrico. XV Congreso de Bioingeniería, Argentina
Guyton A, John M, Hall E (2006) Textbook of Medical Physiology. Elsevier, Philadelphia
Khushaba R, Al-Juamily A (2007) Fuzzy wavelet packet based feature extraction method for multifunction myoelectric control. Int J Biomed Sci 2(3)
Kuo S, Lee B (2010) Real-time digital signal processor. Implementations, applications and experiments with TMS320C55x. In: Nilsj N (ed) The quest for artificial intelligence: a history of ideas and achievements. Stanford University
López N, di Sciascio F, Soria C, Valentinuzzi M (2009) Robust EMG sensing system based on data fusion for myoelectric control of a robotic arm. Facultad Ingeniería, Universidad Nacional de San Juan, Gabinete de Tecnología Médica, Argentina
Romo H, Realpe EJ, Jojoa P (2007) Análisis de Señales EMG Superficiales y su Aplicación en Control de Prótesis de Mano PhD. Universidad del Cauca
Shadow Robot Company (2011) http://www.shadowrobot.com/
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Zapana, U.G., Apaza, R.M.C., Ordoñez, N.I.O., Rivera, A.C. (2015). Prototype Upper Limb Prosthetic Controlled by Myoelectric Signals Using a Digital Signal Processor Platform. In: Kecskeméthy, A., Geu Flores, F. (eds) Interdisciplinary Applications of Kinematics. Mechanisms and Machine Science, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-10723-3_16
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DOI: https://doi.org/10.1007/978-3-319-10723-3_16
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