Literature DB >> 17123208

Human-centered robotics applied to gait training and assessment.

Robert Riener1, Lars Lünenburger, Gery Colombo.   

Abstract

Robot-aided gait training can increase the duration and number of training sessions while reducing the number of therapists required for each patient. However, current automated gait trainers do not adapt their movement to the patient's muscular efforts and passive musculoskeletal properties. Furthermore, robot-aided training without therapists lacks the feedback required for patient assessment. In this article, we present results from the literature and our research to provide an overview of novel human-centered strategies for robot behaviors that are patient-cooperative and support motor-function assessment. Combining robot-aided training with robot-aided assessment will likely make future gait therapy easier, more comfortable, and more efficient. Broad clinical testing is still required for proving this assumption.

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Year:  2006        PMID: 17123208     DOI: 10.1682/jrrd.2005.02.0046

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  14 in total

1.  Neuromuscular and biomechanical factors codetermine the solution to motor redundancy in rhythmic multijoint arm movement.

Authors:  Aymar de Rugy; Stephan Riek; Yalchin Oytam; Timothy J Carroll; Rahman Davoodi; Richard G Carson
Journal:  Exp Brain Res       Date:  2008-06-11       Impact factor: 1.972

2.  Effects of Robotic Neurorehabilitation on Body Representation in Individuals with Stroke: A Preliminary Study Focusing on an EEG-Based Approach.

Authors:  Maria Grazia Maggio; Antonino Naro; Alfredo Manuli; Giuseppa Maresca; Tina Balletta; Desirèe Latella; Rosaria De Luca; Rocco Salvatore Calabrò
Journal:  Brain Topogr       Date:  2021-03-04       Impact factor: 3.020

3.  Online assessment of human-robot interaction for hybrid control of walking.

Authors:  Antonio J del-Ama; Juan C Moreno; Angel Gil-Agudo; Ana de-los-Reyes; José L Pons
Journal:  Sensors (Basel)       Date:  2011-12-27       Impact factor: 3.576

4.  A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients.

Authors:  Simona Ferrante; Emilia Ambrosini; Paola Ravelli; Eleonora Guanziroli; Franco Molteni; Giancarlo Ferrigno; Alessandra Pedrocchi
Journal:  J Neuroeng Rehabil       Date:  2011-08-24       Impact factor: 4.262

Review 5.  Haptic wearables as sensory replacement, sensory augmentation and trainer - a review.

Authors:  Peter B Shull; Dana D Damian
Journal:  J Neuroeng Rehabil       Date:  2015-07-20       Impact factor: 4.262

Review 6.  Robotics in Lower-Limb Rehabilitation after Stroke.

Authors:  Xue Zhang; Zan Yue; Jing Wang
Journal:  Behav Neurol       Date:  2017-06-08       Impact factor: 3.342

7.  The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.

Authors:  Rocco Salvatore Calabrò; Antonino Naro; Margherita Russo; Antonino Leo; Rosaria De Luca; Tina Balletta; Antonio Buda; Gianluca La Rosa; Alessia Bramanti; Placido Bramanti
Journal:  J Neuroeng Rehabil       Date:  2017-06-07       Impact factor: 4.262

8.  Physical human-robot interaction of an active pelvis orthosis: toward ergonomic assessment of wearable robots.

Authors:  Nicolò d'Elia; Federica Vanetti; Marco Cempini; Guido Pasquini; Andrea Parri; Marco Rabuffetti; Maurizio Ferrarin; Raffaele Molino Lova; Nicola Vitiello
Journal:  J Neuroeng Rehabil       Date:  2017-04-14       Impact factor: 4.262

9.  Development of new measurement system of thoracic excursion with biofeedback: reliability and validity.

Authors:  Yukiko Nishigaki; Hiroko Mizuguchi; Eriko Takeda; Tomokazu Koike; Takeshi Ando; Kazuya Kawamura; Takuro Shimbo; Hidetoshi Ishikawa; Masashi Fujimoto; Ikuko Saotome; Reiko Odo; Kazuko Omoda; Shohei Yamashita; Tomoko Yamada; Toshihito Omi; Yuya Matsushita; Manami Takeda; Sawako Sekiguchi; Saki Tanaka; Masakatsu Fujie; Haruhi Inokuchi; Junko Fujitani
Journal:  J Neuroeng Rehabil       Date:  2013-05-20       Impact factor: 4.262

10.  Evaluation of motor performances of hemiplegic patients using a virtual cycling wheelchair: an exploratory trial.

Authors:  Norihiro Sugita; Makoto Yoshizawa; Yoshihisa Kojima; Makoto Abe; Noriyasu Homma; Kazunori Seki; Nobuyasu Handa
Journal:  Comput Math Methods Med       Date:  2013-11-26       Impact factor: 2.238

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