Literature DB >> 28008365

Development of a prototype of portable FES rehabilitation system for relearning of gait for hemiplegic subjects.

Takashi Watanabe1, Shun Endo1, Ryusei Morita1.   

Abstract

This study aimed at developing a prototype of portable FES rehabilitation system for relearning gait pattern of healthy subjects, which can measure gait information during walking applying electrical stimulation for foot drop correction or providing timing information. A gait event detection method using an inertial sensor attached on the foot was determined based on gait of healthy subjects from simultaneous measurements with pressure sensors. From the result of comparing the detected gait event timings with EMG signal of the tibialis anterior muscle during walking of healthy subjects, the toe off and the foot flat timings detected by the inertial sensor were suggested to be useful to determine the stimulation timing for the foot drop correction. The gait event detection method was implemented in a prototype of portable FES rehabilitation system consisting of an 8-inch tablet-type device, 2 inertial sensors and an electrical stimulator. The portable system was examined with hemiplegic subjects under the conditions of FES foot drop correction and inducing voluntary effort to develop ankle dorsiflexion at the timing given by electrical stimulation with small stimulation intensity. The system was considered to be useful for gait rehabilitation of hemiplegia using FES foot drop correction or inducing voluntary effort.

Entities:  

Keywords:  ankle dorsiflexion; biomedical measurement; electromyogram signal; electromyography; foot drop correction; gait analysis; gait event detection method; gait information measurement; gait relearning; hemiplegia; inertial sensor; medical disorders; patient rehabilitation; portable FES rehabilitation system; portable functional electrical stimulation rehabilitation system; pressure sensor; pressure sensors; tibialis anterior muscle; walking

Year:  2016        PMID: 28008365      PMCID: PMC5168759          DOI: 10.1049/htl.2016.0045

Source DB:  PubMed          Journal:  Healthc Technol Lett        ISSN: 2053-3713


  14 in total

1.  Tests of wireless wearable sensor system in joint angle measurement of lower limbs.

Authors:  Takashi Watanabe; Hiroki Saito
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

2.  Assessment of walking features from foot inertial sensing.

Authors:  Angelo M Sabatini; Chiara Martelloni; Sergio Scapellato; Filippo Cavallo
Journal:  IEEE Trans Biomed Eng       Date:  2005-03       Impact factor: 4.538

Review 3.  Peroneal Stimulation for Foot Drop After Stroke: A Systematic Review.

Authors:  Kari Dunning; Michael W O'Dell; Patricia Kluding; Keith McBride
Journal:  Am J Phys Med Rehabil       Date:  2015-08       Impact factor: 2.159

4.  Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors.

Authors:  Benoit Mariani; Hossein Rouhani; Xavier Crevoisier; Kamiar Aminian
Journal:  Gait Posture       Date:  2012-08-09       Impact factor: 2.840

5.  A novel adaptive, real-time algorithm to detect gait events from wearable sensors.

Authors:  Noelia Chia Bejarano; Emilia Ambrosini; Alessandra Pedrocchi; Giancarlo Ferrigno; Marco Monticone; Simona Ferrante
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-07-22       Impact factor: 3.802

6.  A clinical trial of a prototype of wireless surface fes rehabilitation system in foot drop correction.

Authors:  Naoto Miura; Takashi Watanabe; Kiyokazu Akasaka; Tatsuto Suzuki
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

7.  Foot drop stimulation versus ankle foot orthosis after stroke: 30-week outcomes.

Authors:  Patricia M Kluding; Kari Dunning; Michael W O'Dell; Samuel S Wu; Jivan Ginosian; Jody Feld; Keith McBride
Journal:  Stroke       Date:  2013-05-02       Impact factor: 7.914

8.  Does the drop-foot stimulator improve walking in hemiplegia?

Authors:  J H Burridge
Journal:  Neuromodulation       Date:  2001-04

9.  Functional electrical stimulation to ankle dorsiflexor and plantarflexor using single foot switch in patients with hemiplegia from hemorrhagic stroke.

Authors:  Young-Hee Lee; Sang Yeol Yong; Sung Hoon Kim; Ji Hyun Kim; Jong Mock Shinn; Youngho Kim; Seunghyeon Kim; Seonhong Hwang
Journal:  Ann Rehabil Med       Date:  2014-06-26

10.  Walking training with foot drop stimulator controlled by a tilt sensor to improve walking outcomes: a randomized controlled pilot study in patients with stroke in subacute phase.

Authors:  G Morone; A Fusco; P Di Capua; P Coiro; L Pratesi
Journal:  Stroke Res Treat       Date:  2012-12-22
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  2 in total

1.  Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals.

Authors:  Francesco Di Nardo; Christian Morbidoni; Guido Mascia; Federica Verdini; Sandro Fioretti
Journal:  Biomed Eng Online       Date:  2020-07-28       Impact factor: 2.819

Review 2.  Advances in neuroprosthetic management of foot drop: a review.

Authors:  Javier Gil-Castillo; Fady Alnajjar; Aikaterini Koutsou; Diego Torricelli; Juan C Moreno
Journal:  J Neuroeng Rehabil       Date:  2020-03-25       Impact factor: 4.262

  2 in total

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