Maximizing stroke recovery with advanced technologies: A comprehensive assessment of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror therapy interventions

Amin, Faisal; Waris, Asim; Iqbal, Javaid; Gilani, Syed Omer; Ur Rehman, M. Zia; Mushtaq, Shafaq; Khan, Niaz Bahadur; Khan, M. Ijaz; Jameel, Mohammed; Tamam, Nissren

doi:10.1016/j.rineng.2023.101725

Cited by 14 publications

(6 citation statements)

References 141 publications

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“…To address the shortcomings of traditional medical rehabilitation evaluation methods, a musculoskeletal evaluation system based on EMG has been proposed, which provides a more accurate assessment of muscle function and pain relief [ 39 ]. Electromyography (EMG) is also being developed for stroke rehabilitation to enhance motion control in clinical settings [ 40 ]. Finally, studies on adaptive robot-assisted upper limb training interactions have not always considered the implications of muscle pain sufficiently, highlighting the importance of EMG signals in monitoring muscle activity during rehabilitation sessions [ 41 ].…”

Section: Resultsmentioning

confidence: 99%

An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach

Abdallah,

Bouteraa

2024

Sensors

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The utilization of robotic systems in upper limb rehabilitation has shown promising results in aiding individuals with motor impairments. This research introduces an innovative approach to enhance the efficiency and adaptability of upper limb exoskeleton robot-assisted rehabilitation through the development of an optimized stimulation control system (OSCS). The proposed OSCS integrates a fuzzy logic-based pain detection approach designed to accurately assess and respond to the patient’s pain threshold during rehabilitation sessions. By employing fuzzy logic algorithms, the system dynamically adjusts the stimulation levels and control parameters of the exoskeleton, ensuring personalized and optimized rehabilitation protocols. This research conducts comprehensive evaluations, including simulation studies and clinical trials, to validate the OSCS’s efficacy in improving rehabilitation outcomes while prioritizing patient comfort and safety. The findings demonstrate the potential of the OSCS to revolutionize upper limb exoskeleton-assisted rehabilitation by offering a customizable and adaptive framework tailored to individual patient needs, thereby advancing the field of robotic-assisted rehabilitation.

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Section: Resultsmentioning

confidence: 99%

An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach

Abdallah,

Bouteraa

2024

Sensors

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“…These complementary interventions target different aspects of recovery, addressing cognitive, sensory, and motor functions. As a result, stroke survivors experience enhanced engagement, improved functional outcomes, and a higher likelihood of sustained progress throughout their rehabilitation [ 63 , 68 , 69 ].…”

Section: Discussionmentioning

confidence: 99%

Current Trends in Gait Rehabilitation for Stroke Survivors: A Scoping Review of Randomized Controlled Trials

Teodoro,

Fernandes,

Castro

et al. 2024

JCM

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Background: Stroke stands as a significant global health concern, constituting a leading cause of disability worldwide. Rehabilitation interventions are crucial in aiding the recovery of stroke patients, contributing to an overall enhancement in their quality of life. This scoping review seeks to identify current trends in gait rehabilitation for stroke survivors. Methods: The review followed the methodological framework suggested by Arksey and O’Malley. Electronic databases, such as CINAHL Complete, MEDLINE Complete, and Nursing & Allied Health Collection, were systematically searched in November 2023. Inclusion criteria comprised papers published in either English or Portuguese from 2013 to 2023. Results: From the initial search, a total of 837 papers were identified; twenty-one papers were incorporated into this review. Thirteen distinct categories of gait rehabilitation interventions were identified, encompassing diverse approaches. These categories comprise conventional rehabilitation exercises, traditional gait training with integrated technology, and gait training supported by modern technologies. Conclusions: Although traditional rehabilitation exercises have historically proven effective in aiding stroke survivors, a recent trend has emerged, emphasizing the development and integration of innovative therapeutic approaches that harness modern technologies.

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“…Taken together, innovative methodologies are needed. Recent studies endorse the use of therapies that use exoskeletons ( Hohl et al, 2022 ), brain-machine interfaces ( Ramos-Murguialday et al, 2013 ; 2019 ), and VR devices ( Vourvopoulos et al, 2019 ; Qiu et al, 2020 ; Fluet et al, 2021 ) to restore the function of the paretic limb after stroke ( Stinear et al, 2020 ; Vidaurre et al, 2023 ; Amin et al, 2024 ). These technologies provide new opportunities in rehabilitation as they stimulate intense practice or engage patients in immersive exercises.…”

Section: Introductionmentioning

confidence: 99%

“…These technologies provide new opportunities in rehabilitation as they stimulate intense practice or engage patients in immersive exercises. Although these approaches offer an environment in which the many variables that influence motor behavior can be controlled and show great potential for motor rehabilitation, we know little about what aspects of training are more effective in promoting functional reorganization of the central nervous system (CNS) ( Vidaurre et al, 2023 ; Amin et al, 2024 ).…”

Section: Introductionmentioning

confidence: 99%

Myoelectric control and virtual reality to enhance motor rehabilitation after stroke

Berger,

d’Avella

2024

Front. Bioeng. Biotechnol.

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Effective upper-limb rehabilitation for severely impaired stroke survivors is still missing. Recent studies endorse novel motor rehabilitation approaches such as robotic exoskeletons and virtual reality systems to restore the function of the paretic limb of stroke survivors. However, the optimal way to promote the functional reorganization of the central nervous system after a stroke has yet to be uncovered. Electromyographic (EMG) signals have been employed for prosthetic control, but their application to rehabilitation has been limited. Here we propose a novel approach to promote the reorganization of pathological muscle activation patterns and enhance upper-limb motor recovery in stroke survivors by using an EMG-controlled interface to provide personalized assistance while performing movements in virtual reality (VR). We suggest that altering the visual feedback to improve motor performance in VR, thereby reducing the effect of deviations of the actual, dysfunctional muscle patterns from the functional ones, will actively engage patients in motor learning and facilitate the restoration of functional muscle patterns. An EMG-controlled VR interface may facilitate effective rehabilitation by targeting specific changes in the structure of muscle synergies and in their activations that emerged after a stroke—offering the possibility to provide rehabilitation therapies addressing specific individual impairments.

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Maximizing stroke recovery with advanced technologies: A comprehensive assessment of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror therapy interventions

Cited by 14 publications

References 141 publications

An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach

An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach

Current Trends in Gait Rehabilitation for Stroke Survivors: A Scoping Review of Randomized Controlled Trials

Myoelectric control and virtual reality to enhance motor rehabilitation after stroke

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