Electromyographic signals processing for robotic assistance tools in the rural population

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

doi:10.1109/biorob.2014.6913869

Electromyographic signals processing for robotic assistance tools in the rural population

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

Producción científica: Capítulo en Libro/Informe › Contribución 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 original	Inglés estadounidense
Título de la publicación alojada	"2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014
Editores	Raffaella 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
Editorial	IEEE Computer Society
Páginas	758-762
Número de páginas	5
ISBN (versión digital)	9781479931262
DOI	https://doi.org/10.1109/biorob.2014.6913869
Estado	Publicada - sept 30 2014
Publicado de forma externa	Sí
Evento	5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014 - Sao Paulo, Brasil Duración: ago 12 2014 → ago 15 2014

Serie de la publicación

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

Conferencia

Conferencia	5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014
País/Territorio	Brasil
Ciudad	Sao Paulo
Período	8/12/14 → 8/15/14

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 1: Fin de la pobreza

Áreas temáticas de ASJC Scopus

Inteligencia artificial
Ingeniería biomédica
Ingeniería mecánica

Acceder al documento

10.1109/biorob.2014.6913869

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Citar esto

Ramírez D, A. A., Jiménez, M., & Arevalo, M. F. (2014). Electromyographic signals processing for robotic assistance tools in the rural population. En R. Carloni, L. Masia, J. M. Sabater-Navarro, M. Ackermann, S. Agrawal, A. Ajoudani, P. Artemiadis, M. Bianchi, A. P. Lanari Bo, M. Casadio, K. Cleary, A. Deshpande, D. Formica, M. Fumagalli, N. Garcia-Aracil, S. B. Godfrey, I. S. M. Khalil, O. Lambercy, R. C. V. Loureiro, L. Mattos, V. Munoz, H.-S. Park, L. E. Rodriguez Cheu, R. Saltaren, A. A. G. Siqueira, V. Squeri, A. H. A. Stienen, N. Tsagarakis, H. Van der Kooij, B. Vanderborght, N. Vitiello, J. Zariffa, ... L. Zollo (Eds.), "2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014 (pp. 758-762). Artículo 6913869 (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics). IEEE Computer Society. https://doi.org/10.1109/biorob.2014.6913869

Ramírez D, Andrés A. ; Jiménez, Mario ; Arevalo, Miguel F. / Electromyographic signals processing for robotic assistance tools in the rural population. "2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014. editor / Raffaella 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. IEEE Computer Society, 2014. pp. 758-762 (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics).

@inproceedings{69a8816122fd403eb11b1dc44cee9db1,

title = "Electromyographic signals processing for robotic assistance tools in the rural population",

abstract = "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.",

author = "\{Ram{\'i}rez D\}, \{Andr{\'e}s A.\} and Mario Jim{\'e}nez and Arevalo, \{Miguel F.\}",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014 ; Conference date: 12-08-2014 Through 15-08-2014",

year = "2014",

month = sep,

day = "30",

doi = "10.1109/biorob.2014.6913869",

language = "English (US)",

series = "Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics",

publisher = "IEEE Computer Society",

pages = "758--762",

editor = "Raffaella Carloni and Lorenzo Masia and Sabater-Navarro, \{Jose Maria\} and Marko Ackermann and Sunil Agrawal and Arash Ajoudani and Panagiotis Artemiadis and Matteo Bianchi and \{Lanari Bo\}, \{Antonio Padilha\} and Maura Casadio and Kevin Cleary and Ashish Deshpande and Domenico Formica and Matteo Fumagalli and Nicolas Garcia-Aracil and Godfrey, \{Sasha Blue\} and Khalil, \{Islam S.M.\} and Olivier Lambercy and Loureiro, \{Rui C. V.\} and Leonardo Mattos and Victor Munoz and Hyung-Soon Park and \{Rodriguez Cheu\}, \{Luis Eduardo\} and Roque Saltaren and Siqueira, \{Adriano A. G.\} and Valentina Squeri and Stienen, \{Arno H.A.\} and Nikolaos Tsagarakis and \{Van der Kooij\}, Herman and Bram Vanderborght and Nicola Vitiello and Jose Zariffa and Loredana Zollo",

booktitle = "{"}2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014",

address = "United States",

}

Ramírez D, AA, Jiménez, M & Arevalo, MF 2014, Electromyographic signals processing for robotic assistance tools in the rural population. En R Carloni, L Masia, JM Sabater-Navarro, M Ackermann, S Agrawal, A Ajoudani, P Artemiadis, M Bianchi, AP Lanari Bo, M Casadio, K Cleary, A Deshpande, D Formica, M Fumagalli, N Garcia-Aracil, SB Godfrey, ISM Khalil, O Lambercy, RCV Loureiro, L Mattos, V Munoz, H-S Park, LE Rodriguez Cheu, R Saltaren, AAG Siqueira, V Squeri, AHA Stienen, N Tsagarakis, H Van der Kooij, B Vanderborght, N Vitiello, J Zariffa & L Zollo (eds.), "2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014., 6913869, Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, IEEE Computer Society, pp. 758-762, 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014, Sao Paulo, Brasil, 8/12/14. https://doi.org/10.1109/biorob.2014.6913869

Electromyographic signals processing for robotic assistance tools in the rural population. / Ramírez D, Andrés A.; Jiménez, Mario; Arevalo, Miguel F.
"2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014. ed. / Raffaella 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. IEEE Computer Society, 2014. p. 758-762 6913869 (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics).

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

TY - GEN

T1 - Electromyographic signals processing for robotic assistance tools in the rural population

AU - Ramírez D, Andrés A.

AU - Jiménez, Mario

AU - Arevalo, Miguel F.

PY - 2014/9/30

Y1 - 2014/9/30

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84918571788

UR - https://www.scopus.com/pages/publications/84918571788#tab=citedBy

U2 - 10.1109/biorob.2014.6913869

DO - 10.1109/biorob.2014.6913869

M3 - Conference contribution

AN - SCOPUS:84918571788

T3 - Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics

SP - 758

EP - 762

BT - "2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014

A2 - Carloni, Raffaella

A2 - Masia, Lorenzo

A2 - Sabater-Navarro, Jose Maria

A2 - Ackermann, Marko

A2 - Agrawal, Sunil

A2 - Ajoudani, Arash

A2 - Artemiadis, Panagiotis

A2 - Bianchi, Matteo

A2 - Lanari Bo, Antonio Padilha

A2 - Casadio, Maura

A2 - Cleary, Kevin

A2 - Deshpande, Ashish

A2 - Formica, Domenico

A2 - Fumagalli, Matteo

A2 - Garcia-Aracil, Nicolas

A2 - Godfrey, Sasha Blue

A2 - Khalil, Islam S.M.

A2 - Lambercy, Olivier

A2 - Loureiro, Rui C. V.

A2 - Mattos, Leonardo

A2 - Munoz, Victor

A2 - Park, Hyung-Soon

A2 - Rodriguez Cheu, Luis Eduardo

A2 - Saltaren, Roque

A2 - Siqueira, Adriano A. G.

A2 - Squeri, Valentina

A2 - Stienen, Arno H.A.

A2 - Tsagarakis, Nikolaos

A2 - Van der Kooij, Herman

A2 - Vanderborght, Bram

A2 - Vitiello, Nicola

A2 - Zariffa, Jose

A2 - Zollo, Loredana

PB - IEEE Computer Society

T2 - 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014

Y2 - 12 August 2014 through 15 August 2014

ER -

Ramírez D AA, Jiménez M, Arevalo MF. Electromyographic signals processing for robotic assistance tools in the rural population. En Carloni R, Masia L, Sabater-Navarro JM, Ackermann M, Agrawal S, Ajoudani A, Artemiadis P, Bianchi M, Lanari Bo AP, Casadio M, Cleary K, Deshpande A, Formica D, Fumagalli M, Garcia-Aracil N, Godfrey SB, Khalil ISM, Lambercy O, Loureiro RCV, Mattos L, Munoz V, Park HS, Rodriguez Cheu LE, Saltaren R, Siqueira AAG, Squeri V, Stienen AHA, Tsagarakis N, Van der Kooij H, Vanderborght B, Vitiello N, Zariffa J, Zollo L, editores, "2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014. IEEE Computer Society. 2014. p. 758-762. 6913869. (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics). doi: 10.1109/biorob.2014.6913869

Electromyographic signals processing for robotic assistance tools in the rural population

Resumen

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