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Literature DB >> 24191351

Electromechanical-assisted training for walking after stroke: updated evidence.

Jan Mehrholz, Bernhard Elsner, Cordula Werner, Joachim Kugler, Marcus Pohl.

Abstract

Entities: Disease

Mesh：

Year: 2013 PMID： 24191351 DOI： 10.1161/strokeaha.113.003061

Source DB: PubMed Journal: Stroke ISSN： 0039-2499 Impact factor: 7.914

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Cited

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15 in total

Review 1. [Evidence-based rehabilitation of mobility after stroke].

Authors: C Dohle; R Tholen; H Wittenberg; J Quintern; S Saal; K M Stephan
Journal: Nervenarzt Date: 2016-10 Impact factor: 1.214

2. Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.

Authors: Federica Tamburella; Juan C Moreno; Diana Sofía Herrera Valenzuela; Iolanda Pisotta; Marco Iosa; Febo Cincotti; Donatella Mattia; José L Pons; Marco Molinari
Journal: J Neuroeng Rehabil Date: 2019-07-23 Impact factor: 4.262

Review 3. Clinical application of the Hybrid Assistive Limb (HAL) for gait training-a systematic review.

Authors: Anneli Wall; Jörgen Borg; Susanne Palmcrantz
Journal: Front Syst Neurosci Date: 2015-03-25

4. Clinical Characteristics of Proper Robot-Assisted Gait Training Group in Non-ambulatory Subacute Stroke Patients.

Authors: Soo Jeong Kim; Hye Jin Lee; Seung Won Hwang; Hannah Pyo; Sung Phil Yang; Mun-Hee Lim; Gyu Lee Park; Eun Joo Kim
Journal: Ann Rehabil Med Date: 2016-04-25

5. Robot-assisted gait training improves brachial-ankle pulse wave velocity and peak aerobic capacity in subacute stroke patients with totally dependent ambulation: Randomized controlled trial.

Authors: Eun Young Han; Sang Hee Im; Bo Ryun Kim; Min Ji Seo; Myeong Ok Kim
Journal: Medicine (Baltimore) Date: 2016-10 Impact factor: 1.889

10. Can Lokomat therapy with children and adolescents be improved? An adaptive clinical pilot trial comparing Guidance force, Path control, and FreeD.

Authors: Tabea Aurich-Schuler; Fabienne Grob; Hubertus J A van Hedel; Rob Labruyère
Journal: J Neuroeng Rehabil Date: 2017-07-14 Impact factor: 4.262

Electromechanical-assisted training for walking after stroke: updated evidence.

Review 1. [Evidence-based rehabilitation of mobility after stroke].

2. Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.

Review 3. Clinical application of the Hybrid Assistive Limb (HAL) for gait training-a systematic review.

4. Clinical Characteristics of Proper Robot-Assisted Gait Training Group in Non-ambulatory Subacute Stroke Patients.

5. Robot-assisted gait training improves brachial-ankle pulse wave velocity and peak aerobic capacity in subacute stroke patients with totally dependent ambulation: Randomized controlled trial.

Review 6. Robot-aided assessment of lower extremity functions: a review.

7. Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions.

8. Feasibility of Using Lokomat Combined with Functional Electrical Stimulation for the Rehabilitation of Foot Drop.

9. Effects of taping and proprioceptive neuromuscular facilitation for stance phase duration of stroke patients.

10. Can Lokomat therapy with children and adolescents be improved? An adaptive clinical pilot trial comparing Guidance force, Path control, and FreeD.