Literature DB >> 23771306

Active and Progressive Exoskeleton Rehabilitation Using Multisource Information Fusion From EMG and Force-Position EPP.

Yuanjie Fan, Yuehong Yin.   

Abstract

Although exoskeletons have received enormous attention and have been widely used in gait training and walking assistance in recent years, few reports addressed their application during early poststroke rehabilitation. This paper presents a healthcare technology for active and progressive early rehabilitation using multisource information fusion from surface electromyography and force-position extended physiological proprioception. The active-compliance control based on interaction force between patient and exoskeleton is applied to accelerate the recovery of the neuromuscular function, whereby progressive treatment through timely evaluation contributes to an effective and appropriate physical rehabilitation. Moreover, a clinic-oriented rehabilitation system, wherein a lower extremity exoskeleton with active compliance is mounted on a standing bed, is designed to ensure comfortable and secure rehabilitation according to the structure and control requirements. Preliminary experiments and clinical trial demonstrate valuable information on the feasibility, safety, and effectiveness of the progressive exoskeleton-assisted training.

Entities:  

Mesh:

Year:  2013        PMID: 23771306     DOI: 10.1109/TBME.2013.2267741

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

Review 1.  Decision fusion in healthcare and medicine: a narrative review.

Authors:  Elham Nazari; Rizwana Biviji; Danial Roshandel; Reza Pour; Mohammad Hasan Shahriari; Amin Mehrabian; Hamed Tabesh
Journal:  Mhealth       Date:  2022-01-20

Review 2.  Characterization and Evaluation of Human-Exoskeleton Interaction Dynamics: A Review.

Authors:  Stefano Massardi; David Rodriguez-Cianca; David Pinto-Fernandez; Juan C Moreno; Matteo Lancini; Diego Torricelli
Journal:  Sensors (Basel)       Date:  2022-05-25       Impact factor: 3.847

3.  MyoNet: A Transfer-Learning-Based LRCN for Lower Limb Movement Recognition and Knee Joint Angle Prediction for Remote Monitoring of Rehabilitation Progress From sEMG.

Authors:  Arvind Gautam; Madhuri Panwar; Dwaipayan Biswas; Amit Acharyya
Journal:  IEEE J Transl Eng Health Med       Date:  2020-02-13       Impact factor: 3.316

4.  The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study.

Authors:  Magdo Bortole; Anusha Venkatakrishnan; Fangshi Zhu; Juan C Moreno; Gerard E Francisco; Jose L Pons; Jose L Contreras-Vidal
Journal:  J Neuroeng Rehabil       Date:  2015-06-17       Impact factor: 4.262

5.  Cooperative Control for A Hybrid Rehabilitation System Combining Functional Electrical Stimulation and Robotic Exoskeleton.

Authors:  Dingguo Zhang; Yong Ren; Kai Gui; Jie Jia; Wendong Xu
Journal:  Front Neurosci       Date:  2017-12-21       Impact factor: 4.677

6.  A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation.

Authors:  Olive Lennon; Michele Tonellato; Alessandra Del Felice; Roberto Di Marco; Caitriona Fingleton; Attila Korik; Eleonora Guanziroli; Franco Molteni; Christoph Guger; Rupert Otner; Damien Coyle
Journal:  Front Neurosci       Date:  2020-06-30       Impact factor: 4.677

7.  Distinct Kinematic and Neuromuscular Activation Strategies During Quiet Stance and in Response to Postural Perturbations in Healthy Individuals Fitted With and Without a Lower-Limb Exoskeleton.

Authors:  Charles S Layne; Christopher A Malaya; Akshay S Ravindran; Isaac John; Gerard E Francisco; Jose Luis Contreras-Vidal
Journal:  Front Hum Neurosci       Date:  2022-07-15       Impact factor: 3.473

8.  Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.

Authors:  Juan C Yepes; Mario A Portela; Álvaro J Saldarriaga; Vera Z Pérez; Manuel J Betancur
Journal:  Biomed Eng Online       Date:  2019-01-03       Impact factor: 2.819

  8 in total

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