Electromyographic signals processing for robotic assistance tools in the rural population

Andrés A. Ramírez D, Mario Jiménez, Miguel F. Arevalo

Resultado de la investigación: Capítulo en Libro/Reporte/ConferenciaContribución a la conferencia

Resumen

This paper presents an algorithm to process the electromyography signal (EMG). It requires low computational power which allows it to be implemented in embedded, low cost platforms. The proposed algorithm uses the Short-Time Fourier Transform (STFT) and the feature extraction methods, namely, modified mean frequency, and the first spectral moment (SM1). This algorithms is able to identify four different movements of one upper limb, allowing to control a robotic assistance tool with four degrees of freedom. Thanks to the properties of this algorithm, rural populations can have access to this type of technologies.

Idioma originalInglés estadounidense
Título de la publicación alojada"2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014
EditoresRaffaella Carloni, Lorenzo Masia, Jose Maria Sabater-Navarro, Marko Ackermann, Sunil Agrawal, Arash Ajoudani, Panagiotis Artemiadis, Matteo Bianchi, Antonio Padilha Lanari Bo, Maura Casadio, Kevin Cleary, Ashish Deshpande, Domenico Formica, Matteo Fumagalli, Nicolas Garcia-Aracil, Sasha Blue Godfrey, Islam S.M. Khalil, Olivier Lambercy, Rui C. V. Loureiro, Leonardo Mattos, Victor Munoz, Hyung-Soon Park, Luis Eduardo Rodriguez Cheu, Roque Saltaren, Adriano A. G. Siqueira, Valentina Squeri, Arno H.A. Stienen, Nikolaos Tsagarakis, Herman Van der Kooij, Bram Vanderborght, Nicola Vitiello, Jose Zariffa, Loredana Zollo
EditorialIEEE Computer Society
Páginas758-762
Número de páginas5
ISBN (versión digital)9781479931262
DOI
EstadoPublicada - sep 30 2014
Publicado de forma externa
Evento5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014 - Sao Paulo, Brasil
Duración: ago 12 2014ago 15 2014

Serie de la publicación

NombreProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
ISSN (versión impresa)2155-1774

Conferencia

Conferencia5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014
PaísBrasil
CiudadSao Paulo
Período8/12/148/15/14

All Science Journal Classification (ASJC) codes

  • Inteligencia artificial
  • Ingeniería biomédica
  • Ingeniería mecánica

Huella Profundice en los temas de investigación de 'Electromyographic signals processing for robotic assistance tools in the rural population'. En conjunto forman una huella única.

Citar esto