Walking speed intention model using soleus electromyogram signal of nondisabled and post-stroke hemiparetic patients

Sang Hun Chung, Taejin Choi, Yoha Hwang, Hyungmin Kim, Seung-Jong Kim, Min Ho Chun, Jong Min Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

It is well known that the activation of plantar flexors have a strong influence on the walking speed. If the gait speed can be predicted using this relationship, a post-stroke hemiparetic patient could control a gait rehabilitation robot according to his or her gait intention, and the robotic gait rehabilitation effect could be further improved. To find out this relationship, 9 nondisabled subjects and 4 chronic post-stroke hemiparetic subjects performed overground level walking at a comfortable pace, a slow pace, a fast pace, and an increasing pace with electromyogram sensors attached on plantar flexors. Soleus among plantar flexors showed the most stable relationship with walking speed. The relationship between maximum activation level of soleus electromyogram during stance phase before toe-off and walking speed during swing phase after the same toe-off was modeled by a polynomial regression model. The model outputs were then compared to the measured walking speeds using coefficients of determination (R2). The average R2 values are 0.594 and 0.692 for 1st· and 2nd order models respectively in the nondisabled subjects. The average R2 values are 0.598 and 0.623 for the unaffected side and 0.388 and 0.394 for the affected side in the chronic subjects. The results show the feasibility of applying the soleus-walking speed relationship to control the robot gait speed at will. A walking speed estimation method is proposed using only a walking step in real time.

Original languageEnglish
Title of host publication2017 International Conference on Rehabilitation Robotics, ICORR 2017
EditorsArash Ajoudani, Panagiotis Artemiadis, Philipp Beckerle, Giorgio Grioli, Olivier Lambercy, Katja Mombaur, Domen Novak, Georg Rauter, Carlos Rodriguez Guerrero, Gionata Salvietti, Farshid Amirabdollahian, Sivakumar Balasubramanian, Claudio Castellini, Giovanni Di Pino, Zhao Guo, Charmayne Hughes, Fumiya Iida, Tommaso Lenzi, Emanuele Ruffaldi, Fabrizio Sergi, Gim Song Soh, Marco Caimmi, Leonardo Cappello, Raffaella Carloni, Tom Carlson, Maura Casadio, Martina Coscia, Dalia De Santis, Arturo Forner-Cordero, Matthew Howard, Davide Piovesan, Adriano Siqueira, Frank Sup, Masia Lorenzo, Manuel Giuseppe Catalano, Hyunglae Lee, Carlo Menon, Stanisa Raspopovic, Mo Rastgaar, Renaud Ronsse, Edwin van Asseldonk, Bram Vanderborght, Madhusudhan Venkadesan, Matteo Bianchi, David Braun, Sasha Blue Godfrey, Fulvio Mastrogiovanni, Andrew McDaid, Stefano Rossi, Jacopo Zenzeri, Domenico Formica, Nikolaos Karavas, Laura Marchal-Crespo, Kyle B. Reed, Nevio Luigi Tagliamonte, Etienne Burdet, Angelo Basteris, Domenico Campolo, Ashish Deshpande, Venketesh Dubey, Asif Hussain, Vittorio Sanguineti, Ramazan Unal, Glauco Augusto de Paula Caurin, Yasuharu Koike, Stefano Mazzoleni, Hyung-Soon Park, C. David Remy, Ludovic Saint-Bauzel, Nikos Tsagarakis, Jan Veneman, Wenlong Zhang
PublisherIEEE Computer Society
Pages308-313
Number of pages6
ISBN (Electronic)9781538622964
DOIs
Publication statusPublished - 2017 Aug 11
Externally publishedYes
Event2017 International Conference on Rehabilitation Robotics, ICORR 2017 - London, United Kingdom
Duration: 2017 Jul 172017 Jul 20

Publication series

NameIEEE International Conference on Rehabilitation Robotics
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Other

Other2017 International Conference on Rehabilitation Robotics, ICORR 2017
CountryUnited Kingdom
CityLondon
Period17/7/1717/7/20

Fingerprint

Electromyography
Stroke
Gait
Toes
Patient rehabilitation
Walking
Rehabilitation
Chemical activation
Robots
Walking Speed
Robotics
Statistical Models
Polynomials
Sensors

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Rehabilitation
  • Electrical and Electronic Engineering

Cite this

Chung, S. H., Choi, T., Hwang, Y., Kim, H., Kim, S-J., Chun, M. H., & Lee, J. M. (2017). Walking speed intention model using soleus electromyogram signal of nondisabled and post-stroke hemiparetic patients. In A. Ajoudani, P. Artemiadis, P. Beckerle, G. Grioli, O. Lambercy, K. Mombaur, D. Novak, G. Rauter, C. Rodriguez Guerrero, G. Salvietti, F. Amirabdollahian, S. Balasubramanian, C. Castellini, G. Di Pino, Z. Guo, C. Hughes, F. Iida, T. Lenzi, E. Ruffaldi, F. Sergi, G. S. Soh, M. Caimmi, L. Cappello, R. Carloni, T. Carlson, M. Casadio, M. Coscia, D. De Santis, A. Forner-Cordero, M. Howard, D. Piovesan, A. Siqueira, F. Sup, M. Lorenzo, M. G. Catalano, H. Lee, C. Menon, S. Raspopovic, M. Rastgaar, R. Ronsse, E. van Asseldonk, B. Vanderborght, M. Venkadesan, M. Bianchi, D. Braun, S. B. Godfrey, F. Mastrogiovanni, A. McDaid, S. Rossi, J. Zenzeri, D. Formica, N. Karavas, L. Marchal-Crespo, K. B. Reed, N. L. Tagliamonte, E. Burdet, A. Basteris, D. Campolo, A. Deshpande, V. Dubey, A. Hussain, V. Sanguineti, R. Unal, G. A. D. P. Caurin, Y. Koike, S. Mazzoleni, H-S. Park, C. D. Remy, L. Saint-Bauzel, N. Tsagarakis, J. Veneman, ... W. Zhang (Eds.), 2017 International Conference on Rehabilitation Robotics, ICORR 2017 (pp. 308-313). [8009265] (IEEE International Conference on Rehabilitation Robotics). IEEE Computer Society. https://doi.org/10.1109/ICORR.2017.8009265

Walking speed intention model using soleus electromyogram signal of nondisabled and post-stroke hemiparetic patients. / Chung, Sang Hun; Choi, Taejin; Hwang, Yoha; Kim, Hyungmin; Kim, Seung-Jong; Chun, Min Ho; Lee, Jong Min.

2017 International Conference on Rehabilitation Robotics, ICORR 2017. ed. / Arash Ajoudani; Panagiotis Artemiadis; Philipp Beckerle; Giorgio Grioli; Olivier Lambercy; Katja Mombaur; Domen Novak; Georg Rauter; Carlos Rodriguez Guerrero; Gionata Salvietti; Farshid Amirabdollahian; Sivakumar Balasubramanian; Claudio Castellini; Giovanni Di Pino; Zhao Guo; Charmayne Hughes; Fumiya Iida; Tommaso Lenzi; Emanuele Ruffaldi; Fabrizio Sergi; Gim Song Soh; Marco Caimmi; Leonardo Cappello; Raffaella Carloni; Tom Carlson; Maura Casadio; Martina Coscia; Dalia De Santis; Arturo Forner-Cordero; Matthew Howard; Davide Piovesan; Adriano Siqueira; Frank Sup; Masia Lorenzo; Manuel Giuseppe Catalano; Hyunglae Lee; Carlo Menon; Stanisa Raspopovic; Mo Rastgaar; Renaud Ronsse; Edwin van Asseldonk; Bram Vanderborght; Madhusudhan Venkadesan; Matteo Bianchi; David Braun; Sasha Blue Godfrey; Fulvio Mastrogiovanni; Andrew McDaid; Stefano Rossi; Jacopo Zenzeri; Domenico Formica; Nikolaos Karavas; Laura Marchal-Crespo; Kyle B. Reed; Nevio Luigi Tagliamonte; Etienne Burdet; Angelo Basteris; Domenico Campolo; Ashish Deshpande; Venketesh Dubey; Asif Hussain; Vittorio Sanguineti; Ramazan Unal; Glauco Augusto de Paula Caurin; Yasuharu Koike; Stefano Mazzoleni; Hyung-Soon Park; C. David Remy; Ludovic Saint-Bauzel; Nikos Tsagarakis; Jan Veneman; Wenlong Zhang. IEEE Computer Society, 2017. p. 308-313 8009265 (IEEE International Conference on Rehabilitation Robotics).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chung, SH, Choi, T, Hwang, Y, Kim, H, Kim, S-J, Chun, MH & Lee, JM 2017, Walking speed intention model using soleus electromyogram signal of nondisabled and post-stroke hemiparetic patients. in A Ajoudani, P Artemiadis, P Beckerle, G Grioli, O Lambercy, K Mombaur, D Novak, G Rauter, C Rodriguez Guerrero, G Salvietti, F Amirabdollahian, S Balasubramanian, C Castellini, G Di Pino, Z Guo, C Hughes, F Iida, T Lenzi, E Ruffaldi, F Sergi, GS Soh, M Caimmi, L Cappello, R Carloni, T Carlson, M Casadio, M Coscia, D De Santis, A Forner-Cordero, M Howard, D Piovesan, A Siqueira, F Sup, M Lorenzo, MG Catalano, H Lee, C Menon, S Raspopovic, M Rastgaar, R Ronsse, E van Asseldonk, B Vanderborght, M Venkadesan, M Bianchi, D Braun, SB Godfrey, F Mastrogiovanni, A McDaid, S Rossi, J Zenzeri, D Formica, N Karavas, L Marchal-Crespo, KB Reed, NL Tagliamonte, E Burdet, A Basteris, D Campolo, A Deshpande, V Dubey, A Hussain, V Sanguineti, R Unal, GADP Caurin, Y Koike, S Mazzoleni, H-S Park, CD Remy, L Saint-Bauzel, N Tsagarakis, J Veneman & W Zhang (eds), 2017 International Conference on Rehabilitation Robotics, ICORR 2017., 8009265, IEEE International Conference on Rehabilitation Robotics, IEEE Computer Society, pp. 308-313, 2017 International Conference on Rehabilitation Robotics, ICORR 2017, London, United Kingdom, 17/7/17. https://doi.org/10.1109/ICORR.2017.8009265
Chung SH, Choi T, Hwang Y, Kim H, Kim S-J, Chun MH et al. Walking speed intention model using soleus electromyogram signal of nondisabled and post-stroke hemiparetic patients. In Ajoudani A, Artemiadis P, Beckerle P, Grioli G, Lambercy O, Mombaur K, Novak D, Rauter G, Rodriguez Guerrero C, Salvietti G, Amirabdollahian F, Balasubramanian S, Castellini C, Di Pino G, Guo Z, Hughes C, Iida F, Lenzi T, Ruffaldi E, Sergi F, Soh GS, Caimmi M, Cappello L, Carloni R, Carlson T, Casadio M, Coscia M, De Santis D, Forner-Cordero A, Howard M, Piovesan D, Siqueira A, Sup F, Lorenzo M, Catalano MG, Lee H, Menon C, Raspopovic S, Rastgaar M, Ronsse R, van Asseldonk E, Vanderborght B, Venkadesan M, Bianchi M, Braun D, Godfrey SB, Mastrogiovanni F, McDaid A, Rossi S, Zenzeri J, Formica D, Karavas N, Marchal-Crespo L, Reed KB, Tagliamonte NL, Burdet E, Basteris A, Campolo D, Deshpande A, Dubey V, Hussain A, Sanguineti V, Unal R, Caurin GADP, Koike Y, Mazzoleni S, Park H-S, Remy CD, Saint-Bauzel L, Tsagarakis N, Veneman J, Zhang W, editors, 2017 International Conference on Rehabilitation Robotics, ICORR 2017. IEEE Computer Society. 2017. p. 308-313. 8009265. (IEEE International Conference on Rehabilitation Robotics). https://doi.org/10.1109/ICORR.2017.8009265
Chung, Sang Hun ; Choi, Taejin ; Hwang, Yoha ; Kim, Hyungmin ; Kim, Seung-Jong ; Chun, Min Ho ; Lee, Jong Min. / Walking speed intention model using soleus electromyogram signal of nondisabled and post-stroke hemiparetic patients. 2017 International Conference on Rehabilitation Robotics, ICORR 2017. editor / Arash Ajoudani ; Panagiotis Artemiadis ; Philipp Beckerle ; Giorgio Grioli ; Olivier Lambercy ; Katja Mombaur ; Domen Novak ; Georg Rauter ; Carlos Rodriguez Guerrero ; Gionata Salvietti ; Farshid Amirabdollahian ; Sivakumar Balasubramanian ; Claudio Castellini ; Giovanni Di Pino ; Zhao Guo ; Charmayne Hughes ; Fumiya Iida ; Tommaso Lenzi ; Emanuele Ruffaldi ; Fabrizio Sergi ; Gim Song Soh ; Marco Caimmi ; Leonardo Cappello ; Raffaella Carloni ; Tom Carlson ; Maura Casadio ; Martina Coscia ; Dalia De Santis ; Arturo Forner-Cordero ; Matthew Howard ; Davide Piovesan ; Adriano Siqueira ; Frank Sup ; Masia Lorenzo ; Manuel Giuseppe Catalano ; Hyunglae Lee ; Carlo Menon ; Stanisa Raspopovic ; Mo Rastgaar ; Renaud Ronsse ; Edwin van Asseldonk ; Bram Vanderborght ; Madhusudhan Venkadesan ; Matteo Bianchi ; David Braun ; Sasha Blue Godfrey ; Fulvio Mastrogiovanni ; Andrew McDaid ; Stefano Rossi ; Jacopo Zenzeri ; Domenico Formica ; Nikolaos Karavas ; Laura Marchal-Crespo ; Kyle B. Reed ; Nevio Luigi Tagliamonte ; Etienne Burdet ; Angelo Basteris ; Domenico Campolo ; Ashish Deshpande ; Venketesh Dubey ; Asif Hussain ; Vittorio Sanguineti ; Ramazan Unal ; Glauco Augusto de Paula Caurin ; Yasuharu Koike ; Stefano Mazzoleni ; Hyung-Soon Park ; C. David Remy ; Ludovic Saint-Bauzel ; Nikos Tsagarakis ; Jan Veneman ; Wenlong Zhang. IEEE Computer Society, 2017. pp. 308-313 (IEEE International Conference on Rehabilitation Robotics).
@inproceedings{fa5b706fdd284881856f5a97b1b59c32,
title = "Walking speed intention model using soleus electromyogram signal of nondisabled and post-stroke hemiparetic patients",
abstract = "It is well known that the activation of plantar flexors have a strong influence on the walking speed. If the gait speed can be predicted using this relationship, a post-stroke hemiparetic patient could control a gait rehabilitation robot according to his or her gait intention, and the robotic gait rehabilitation effect could be further improved. To find out this relationship, 9 nondisabled subjects and 4 chronic post-stroke hemiparetic subjects performed overground level walking at a comfortable pace, a slow pace, a fast pace, and an increasing pace with electromyogram sensors attached on plantar flexors. Soleus among plantar flexors showed the most stable relationship with walking speed. The relationship between maximum activation level of soleus electromyogram during stance phase before toe-off and walking speed during swing phase after the same toe-off was modeled by a polynomial regression model. The model outputs were then compared to the measured walking speeds using coefficients of determination (R2). The average R2 values are 0.594 and 0.692 for 1st· and 2nd order models respectively in the nondisabled subjects. The average R2 values are 0.598 and 0.623 for the unaffected side and 0.388 and 0.394 for the affected side in the chronic subjects. The results show the feasibility of applying the soleus-walking speed relationship to control the robot gait speed at will. A walking speed estimation method is proposed using only a walking step in real time.",
author = "Chung, {Sang Hun} and Taejin Choi and Yoha Hwang and Hyungmin Kim and Seung-Jong Kim and Chun, {Min Ho} and Lee, {Jong Min}",
year = "2017",
month = "8",
day = "11",
doi = "10.1109/ICORR.2017.8009265",
language = "English",
series = "IEEE International Conference on Rehabilitation Robotics",
publisher = "IEEE Computer Society",
pages = "308--313",
editor = "Arash Ajoudani and Panagiotis Artemiadis and Philipp Beckerle and Giorgio Grioli and Olivier Lambercy and Katja Mombaur and Domen Novak and Georg Rauter and {Rodriguez Guerrero}, Carlos and Gionata Salvietti and Farshid Amirabdollahian and Sivakumar Balasubramanian and Claudio Castellini and {Di Pino}, Giovanni and Zhao Guo and Charmayne Hughes and Fumiya Iida and Tommaso Lenzi and Emanuele Ruffaldi and Fabrizio Sergi and Soh, {Gim Song} and Marco Caimmi and Leonardo Cappello and Raffaella Carloni and Tom Carlson and Maura Casadio and Martina Coscia and {De Santis}, Dalia and Arturo Forner-Cordero and Matthew Howard and Davide Piovesan and Adriano Siqueira and Frank Sup and Masia Lorenzo and Catalano, {Manuel Giuseppe} and Hyunglae Lee and Carlo Menon and Stanisa Raspopovic and Mo Rastgaar and Renaud Ronsse and {van Asseldonk}, Edwin and Bram Vanderborght and Madhusudhan Venkadesan and Matteo Bianchi and David Braun and Godfrey, {Sasha Blue} and Fulvio Mastrogiovanni and Andrew McDaid and Stefano Rossi and Jacopo Zenzeri and Domenico Formica and Nikolaos Karavas and Laura Marchal-Crespo and Reed, {Kyle B.} and Tagliamonte, {Nevio Luigi} and Etienne Burdet and Angelo Basteris and Domenico Campolo and Ashish Deshpande and Venketesh Dubey and Asif Hussain and Vittorio Sanguineti and Ramazan Unal and Caurin, {Glauco Augusto de Paula} and Yasuharu Koike and Stefano Mazzoleni and Hyung-Soon Park and Remy, {C. David} and Ludovic Saint-Bauzel and Nikos Tsagarakis and Jan Veneman and Wenlong Zhang",
booktitle = "2017 International Conference on Rehabilitation Robotics, ICORR 2017",

}

TY - GEN

T1 - Walking speed intention model using soleus electromyogram signal of nondisabled and post-stroke hemiparetic patients

AU - Chung, Sang Hun

AU - Choi, Taejin

AU - Hwang, Yoha

AU - Kim, Hyungmin

AU - Kim, Seung-Jong

AU - Chun, Min Ho

AU - Lee, Jong Min

PY - 2017/8/11

Y1 - 2017/8/11

N2 - It is well known that the activation of plantar flexors have a strong influence on the walking speed. If the gait speed can be predicted using this relationship, a post-stroke hemiparetic patient could control a gait rehabilitation robot according to his or her gait intention, and the robotic gait rehabilitation effect could be further improved. To find out this relationship, 9 nondisabled subjects and 4 chronic post-stroke hemiparetic subjects performed overground level walking at a comfortable pace, a slow pace, a fast pace, and an increasing pace with electromyogram sensors attached on plantar flexors. Soleus among plantar flexors showed the most stable relationship with walking speed. The relationship between maximum activation level of soleus electromyogram during stance phase before toe-off and walking speed during swing phase after the same toe-off was modeled by a polynomial regression model. The model outputs were then compared to the measured walking speeds using coefficients of determination (R2). The average R2 values are 0.594 and 0.692 for 1st· and 2nd order models respectively in the nondisabled subjects. The average R2 values are 0.598 and 0.623 for the unaffected side and 0.388 and 0.394 for the affected side in the chronic subjects. The results show the feasibility of applying the soleus-walking speed relationship to control the robot gait speed at will. A walking speed estimation method is proposed using only a walking step in real time.

AB - It is well known that the activation of plantar flexors have a strong influence on the walking speed. If the gait speed can be predicted using this relationship, a post-stroke hemiparetic patient could control a gait rehabilitation robot according to his or her gait intention, and the robotic gait rehabilitation effect could be further improved. To find out this relationship, 9 nondisabled subjects and 4 chronic post-stroke hemiparetic subjects performed overground level walking at a comfortable pace, a slow pace, a fast pace, and an increasing pace with electromyogram sensors attached on plantar flexors. Soleus among plantar flexors showed the most stable relationship with walking speed. The relationship between maximum activation level of soleus electromyogram during stance phase before toe-off and walking speed during swing phase after the same toe-off was modeled by a polynomial regression model. The model outputs were then compared to the measured walking speeds using coefficients of determination (R2). The average R2 values are 0.594 and 0.692 for 1st· and 2nd order models respectively in the nondisabled subjects. The average R2 values are 0.598 and 0.623 for the unaffected side and 0.388 and 0.394 for the affected side in the chronic subjects. The results show the feasibility of applying the soleus-walking speed relationship to control the robot gait speed at will. A walking speed estimation method is proposed using only a walking step in real time.

UR - http://www.scopus.com/inward/record.url?scp=85034844227&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85034844227&partnerID=8YFLogxK

U2 - 10.1109/ICORR.2017.8009265

DO - 10.1109/ICORR.2017.8009265

M3 - Conference contribution

C2 - 28813837

AN - SCOPUS:85034844227

T3 - IEEE International Conference on Rehabilitation Robotics

SP - 308

EP - 313

BT - 2017 International Conference on Rehabilitation Robotics, ICORR 2017

A2 - Ajoudani, Arash

A2 - Artemiadis, Panagiotis

A2 - Beckerle, Philipp

A2 - Grioli, Giorgio

A2 - Lambercy, Olivier

A2 - Mombaur, Katja

A2 - Novak, Domen

A2 - Rauter, Georg

A2 - Rodriguez Guerrero, Carlos

A2 - Salvietti, Gionata

A2 - Amirabdollahian, Farshid

A2 - Balasubramanian, Sivakumar

A2 - Castellini, Claudio

A2 - Di Pino, Giovanni

A2 - Guo, Zhao

A2 - Hughes, Charmayne

A2 - Iida, Fumiya

A2 - Lenzi, Tommaso

A2 - Ruffaldi, Emanuele

A2 - Sergi, Fabrizio

A2 - Soh, Gim Song

A2 - Caimmi, Marco

A2 - Cappello, Leonardo

A2 - Carloni, Raffaella

A2 - Carlson, Tom

A2 - Casadio, Maura

A2 - Coscia, Martina

A2 - De Santis, Dalia

A2 - Forner-Cordero, Arturo

A2 - Howard, Matthew

A2 - Piovesan, Davide

A2 - Siqueira, Adriano

A2 - Sup, Frank

A2 - Lorenzo, Masia

A2 - Catalano, Manuel Giuseppe

A2 - Lee, Hyunglae

A2 - Menon, Carlo

A2 - Raspopovic, Stanisa

A2 - Rastgaar, Mo

A2 - Ronsse, Renaud

A2 - van Asseldonk, Edwin

A2 - Vanderborght, Bram

A2 - Venkadesan, Madhusudhan

A2 - Bianchi, Matteo

A2 - Braun, David

A2 - Godfrey, Sasha Blue

A2 - Mastrogiovanni, Fulvio

A2 - McDaid, Andrew

A2 - Rossi, Stefano

A2 - Zenzeri, Jacopo

A2 - Formica, Domenico

A2 - Karavas, Nikolaos

A2 - Marchal-Crespo, Laura

A2 - Reed, Kyle B.

A2 - Tagliamonte, Nevio Luigi

A2 - Burdet, Etienne

A2 - Basteris, Angelo

A2 - Campolo, Domenico

A2 - Deshpande, Ashish

A2 - Dubey, Venketesh

A2 - Hussain, Asif

A2 - Sanguineti, Vittorio

A2 - Unal, Ramazan

A2 - Caurin, Glauco Augusto de Paula

A2 - Koike, Yasuharu

A2 - Mazzoleni, Stefano

A2 - Park, Hyung-Soon

A2 - Remy, C. David

A2 - Saint-Bauzel, Ludovic

A2 - Tsagarakis, Nikos

A2 - Veneman, Jan

A2 - Zhang, Wenlong

PB - IEEE Computer Society

ER -