Modeling reaction time in the ankle

Konstantinos P. Michmizos, Hermano Igo Krebs

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

4 Scopus citations

Abstract

We are examining whether robust behavioral laws, initially designed to describe sensorimotor control of the upper extremities, can also describe lower extremity movements. Herein, we present our initial results of our research on measuring ankle reaction time (RT). We show that RT measured in ankle dorsiflexion (DP) and inversion-eversion (IE) of 7 healthy young subjects followed a γ distribution, a typical finding in the upper limb response modalities. We propose that the low-order statistics (mean and variance) of the best-fit γ function can be used to concatenate RT across subjects with similar performance and create super-subjects (SS). We then show that the most widely used model of RT cognitive processes, the Ratcliff diffusion model, is adequate to describe ankle RT in an SS. The combination of experimental data analysis with diffusion modeling of ankle RT proposed that at least two cognitive components of RT are accounted for a difference in mean RT observed between DP and IE, namely the speed of information accumulation and the non-decision time that includes, among others, the time for motor response encoding and execution. These results show a great potential to inform our adaptive assist-as-needed robotic therapy delivered to the lower limbs of children with Cerebral Palsy.

Original languageEnglish (US)
Title of host publication"2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014
EditorsRaffaella 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
PublisherIEEE Computer Society
Pages542-547
Number of pages6
ISBN (Electronic)9781479931262
DOIs
StatePublished - Sep 30 2014
Externally publishedYes
Event5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014 - Sao Paulo, Brazil
Duration: Aug 12 2014Aug 15 2014

Publication series

NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
ISSN (Print)2155-1774

Other

Other5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014
CountryBrazil
CitySao Paulo
Period8/12/148/15/14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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