Wearable Robotic Exoskeletons for Assisted Mobility: Enhancing Rehabilitation and Quality of Life for Neuromuscular Disorders DOI
Zeynep Baysal

Next frontier., Journal Year: 2024, Volume and Issue: 8(1), P. 159 - 159

Published: Nov. 25, 2024

Wearable robotic exoskeletons represent a significant advancement in assistive technology, offering enhanced mobility and improved quality of life for individuals with neuromuscular disorders. This research explores the integration robotics biomechanical engineering to develop exoskeleton systems tailored rehabilitation daily assistance. Key areas investigation include use sensor-driven actuators real-time movement adaptation, role artificial intelligence (AI) customizing therapy sessions, impact these devices on neuroplasticity during rehabilitation. By analyzing real-world applications conditions such as spinal cord injuries, muscular dystrophy, stroke recovery, study evaluates effectiveness restoring functional independence. Ethical considerations, including accessibility, cost, long-term usability, are also addressed. underscores transformative potential wearable exoskeletons, emphasizing their bridging gap between therapeutic With AI advanced sensors, hold promise reshaping paradigms, improving patient outcomes, enhancing overall impairments.

Language: Английский

Effectiveness of robot-assisted task-oriented training intervention for upper limb and daily living skills in stroke patients: A meta-analysis DOI Creative Commons

Jin Cheng-zhu,

Yonghuan Chen,

Yuanyuan Ma

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0316633 - e0316633

Published: Jan. 3, 2025

Purpose Stroke is one of the leading causes acquired disability in adults high-income countries. This study aims to determine intervention effects robot-assisted task-oriented training on enhancing upper limb function and daily living skills stroke patients. Methods A systematic search was conducted across PubMed, China National Knowledge Infrastructure, Web Science, Cochrane Library, Embase, Scopus databases through March 1, 2024. process yielded 1,649 articles, from which 15 studies with 574 samples met inclusion criteria for analysis. The quality included evaluated using Risk Bias tool. We performed meta-analyses, subgroup analyses, regression sensitivity analyses Review Manager 5.4 Stata 17.0. Furthermore, publication bias assessed Begg’s Egger’s tests. registered PROSPERO (No. CRD42024513483). Results random model utilized. results indicated that significantly improved Fugl-Meyer Assessment-Upper Extremity scores compared control group [SMD = 1.01, 95% CI (0.57, 1.45)]. Similarly, demonstrated a significant effect Modified Barthel Index 0.61, (0.41, 0.82)]. Subgroup revealed use combined interventions, geographical region first author, age subjects did not appear be sources high heterogeneity. Publication tests FMA-UE as an outcome measure test (p 0.76) 0.93), suggesting no bias. Sensitivity confirmed robustness findings. Conclusions Robot-assisted enhances rehabilitation recovery

Language: Английский

Citations

1
The role of lower limb exoskeletons in rehabilitation: a scoping review DOI Creative Commons
Philip Abery, Elisa Canetti, Wayne Hing

et al.

Physical Therapy Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: Feb. 16, 2025

Objectives This review provides an overview of exoskeleton use in rehabilitation. The maps the health conditions, design, activities, and outcome measures used.

Language: Английский

Citations

0
Comment on “Dosing overground robotic gait training after spinal cord injury: a randomized clinical trial protocol” DOI Creative Commons
Yichen Gong, Ning Li,

Yunhuo Cai

et al.

Trials, Journal Year: 2025, Volume and Issue: 26(1)

Published: April 17, 2025

Language: Английский

Citations

0
The Effects of Home Automation on Personal and Social Autonomies in Spinal Cord Injury Patients: A Pilot Study DOI Open Access
Giuseppa Maresca, Dèsiréè Latella,

Caterina Formica

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(5), P. 1275 - 1275

Published: Feb. 23, 2024

Spinal cord injury (SCI) is a severe and progressive neurological condition caused by trauma to the nervous system, resulting in lifelong disability comorbidities. This imposes serious limitations on everyday life, interfering with patients' social lives compromising their quality of psychological well-being, daily living activities. Rehabilitation essential helping SCI patients gain more independence routines. Home automation (HA) systems provide personalized support users, allowing them manage various aspects environment, promoting well-being. study aims demonstrate efficacy an HA system enhancing personal autonomies patients, improved cognitive function reduced anxiety-depressive symptoms compared traditional training.

Language: Английский

Citations

1
The Effect of Assistive Robotic Technologies on Quality of Life and Functional Independence in Individuals with Spinal Cord Injury DOI Open Access
Abdurrahim Yıldız, Rüstem Mustafaoğlu, Fatma Nur Kesiktaş

et al.

Journal of Basic and Clinical Health Sciences, Journal Year: 2024, Volume and Issue: 8(3), P. 580 - 589

Published: Sept. 17, 2024

Purpose: To investigate the effect of assistive robotic technologies on quality life, functional independence, and perceived fatigue level in individuals with spinal cord injury (SCI). Material Methods: This research involved a cohort 25 patients who had been diagnosed SCI. assess their progress, clinical assessments were administered both at commencement completion six-week rehabilitation treatment regimen. The evaluations encompassed use Spinal Cord Independence Measure (SCIM III) to measure performance daily living activities mobility. Additionally, life was assessed using World Health Organization Quality Life Scale – Short Form (WHOQOL-BREF) scale, while levels experienced during gauged Modified Borg (RPE). Results: participants' average age BMI 40.72±1.28 kg/m2 23.43±0.57 year. Statistically significant differences found self-care (p=0.006) mobility (p=0.004) values SCIM III scale compared pretreatment values. WHOQOL-BREF General health status, Physical health, Psychological, Social relations Environment sub-parameters all showed statistically pre-treatment (p

Language: Английский

Citations

1
Effects of a Gait Training Program on Spinal Cord Injury Patients: A Single-Group Prospective Cohort Study DOI Open Access

Alexander Echemendía del Valle,

Juan Enrique Bender del Busto,

Armando Sentmanat Belisón

et al.

Journal of Clinical Medicine, Journal Year: 2023, Volume and Issue: 12(23), P. 7208 - 7208

Published: Nov. 21, 2023

Spinal cord injury is defined as the pathological process produced by any etiology affecting spinal cord, which may alter motor, sensory, and/or autonomic function below level of lesion. The complexity neurological deficit and, therefore, resulting clinical picture depends on lesion, extent, and affectation white or gray substance. This can totally partially affect ability to walk, its highest priority with respect mobility restore walk. All make improvement methods used in their rehabilitation a top for health systems. main objective this study was evaluate effect gait training program patients injuries. A single-group, prospective cohort developed following Strengthening Reporting Observational Studies Epidemiology Guidelines (STROBE) at International Center Neurological Restoration Siboney Playa (Havana, Cuba) from May 2020 July 2021 sample 30 accidental deliberate non-probabilistic sampling that met expected inclusion criteria, who underwent physical 8 weeks work. Statistically significant changes were observed overall course, sex, topographic functional class. thoracic injured regardless injury, class patient.

Language: Английский

Citations

2
Design and analysis of a multi-motion self-balancing lower limb exoskeleton based on flat terrain DOI

Jiaqing Wang,

Renling Zou, Hongwei Tan

et al.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 3, 2024

In this study, a multi-motion self-balancing lower limb exoskeleton is designed to provide crutches-free rehabilitation training for quadriplegic patients on flat terrain without hand support. First, based the biomechanical characteristics of human body and bionic mechanism configuration limb, an with full-drive series-parallel hybrid structure was established. Secondly, D-H method, geometric method Newton iteration were used establish forward reverse kinematic solutions exoskeleton. addition, static principle complete planning trajectory. Finally, in order verify effectiveness proposed some numerical simulations performed paper. The theoretical trajectories waist, ankle joint foot center compared simulated trajectories. research results show that kinematics model feasible. Under condition contact force parameters, has ability walking terrain.

Language: Английский

Citations

0
First report of a new exoskeleton in incomplete spinal cord injury: FreeGait ® DOI
Meriç Selim Şipal, Evren Yaşar,

Zuhal Özişler

et al.

Journal of Spinal Cord Medicine, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 11

Published: Nov. 22, 2024

Intensive walking practice often demands capabilities that go beyond the limits for both patients and therapists. As a solution, robot-assisted exoskeletons have been developed to deliver efficient rehabilitation sessions.

Language: Английский

Citations

0
Wearable Robotic Exoskeletons for Assisted Mobility: Enhancing Rehabilitation and Quality of Life for Neuromuscular Disorders DOI
Zeynep Baysal

Next frontier., Journal Year: 2024, Volume and Issue: 8(1), P. 159 - 159

Published: Nov. 25, 2024

Wearable robotic exoskeletons represent a significant advancement in assistive technology, offering enhanced mobility and improved quality of life for individuals with neuromuscular disorders. This research explores the integration robotics biomechanical engineering to develop exoskeleton systems tailored rehabilitation daily assistance. Key areas investigation include use sensor-driven actuators real-time movement adaptation, role artificial intelligence (AI) customizing therapy sessions, impact these devices on neuroplasticity during rehabilitation. By analyzing real-world applications conditions such as spinal cord injuries, muscular dystrophy, stroke recovery, study evaluates effectiveness restoring functional independence. Ethical considerations, including accessibility, cost, long-term usability, are also addressed. underscores transformative potential wearable exoskeletons, emphasizing their bridging gap between therapeutic With AI advanced sensors, hold promise reshaping paradigms, improving patient outcomes, enhancing overall impairments.

Language: Английский

Citations

0