Effects of Postoperative Telerehabilitation in Patients with Rotator Cuff Tear: A Systematic Review and Meta-Analysis (Preprint) DOI

Fumiya Naonaga,

Roberto Mai,

Paul Hendrick

et al.

Published: Sept. 24, 2024

BACKGROUND Rotator cuff (RC) disorders are the most common cause of shoulder pain, with a prevalence that increases age. RC tears significantly impact patients' quality life and pose substantial economic burden due to high surgical rehabilitation costs. Traditional in-person can be challenging for many patients logistical barriers. Telerehabilitation, which delivers services remotely, has emerged as potential alternative, yet its effectiveness postoperative repair remains uncertain. OBJECTIVE The primary aim our study is evaluate telerehabilitation recovering from surgery. METHODS This followed PRISMA guidelines systematic reviews meta-analyses. A comprehensive literature search was conducted across PubMed, EMBASE, MEDLINE, CENTRAL, CINAHL, Web Science English-language publications up July 1, 2024. Randomized controlled trials (RCTs) evaluating telerehabilitation's were included. Data extracted on characteristics, interventions, outcomes, risk bias. outcome Constant-Murley Shoulder Outcome Score (CM score) ; secondary outcomes included Disabilities Arm, Shoulder, Hand (DASH) score and, Visual Analogue Scale (VAS). Meta-analyses using random-effects model. RESULTS yielded 1387 articles, reduced 925 after excluding duplicates ineligible records. Screening led 33 full-text 6 met inclusion criteria. RCTs 388 participants post-RC repair, various interventions such mobile applications, videotape, telephone calls, gamification. PEDro scores ranged 4 8 out 10. Two studies four had some concerns according ROB2. No significant differences found between control groups in CM score, DASH VAS. CONCLUSIONS Telerehabilitation viable alternative traditional showing comparable improvements functional recovery pain management. Further research needed standardize implementation assess long-term effects.

Language: Английский

A Unified Platform for At-Home Post-Stroke Rehabilitation Enabled by Wearable Technologies and Artificial Intelligence DOI Creative Commons
Luigi G. Occhipinti, Chenyu Tang, Ruizhi Zhang

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Abstract At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Additionally, the absence of comprehensive solutions addressing diverse needs in home environments complicates recovery efforts. Here, we introduce a smart platform that integrates wearable sensors, ambient monitoring, and large language model (LLM)-powered assistance to provide seamless health monitoring intelligent support. The system leverages machine learning enabled plantar pressure arrays motor assessment (94% classification accuracy), eye-tracking module cognitive evaluation, sensors precise control (100% operational success, < 1 s latency). LLM-powered agent, Auto-Care, offers real-time interventions, such reminders environmental adjustments, enhancing user satisfaction by 29%. This work establishes fully integrated long-term, rehabilitation, offering new possibilities managing chronic conditions supporting aging populations.

Language: Английский

Citations

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The reliability and validity of a non-wearable indoor positioning system to assess mobility in older adults: A cross-sectional study DOI Creative Commons
Isabel B. Rodrigues, Patricia Hewston, Jonathan D. Adachi

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0307347 - e0307347

Published: April 25, 2025

Background Detecting early changes in walking speed can allow older adults to seek preventative rehabilitation. Currently, there is a lack of consensus on which assessments use assess and how continuously monitor outside the clinic. Chirp privacy-preserving radar sensor developed adults’ safety mobility without need for cameras or wearable devices. Our study purpose was evaluate inter-sensor reliability, intrasession test-retest concurrent validity clinical setting. Methods We recruited 35 community-dwelling (mean age 75.5 (standard deviation: 6.6) years, 86% female). All participants lived alone an urban city southwestern Ontario had access smart device with wireless internet. Data were collected 4-meter ProtoKinetics Zeno TM Walkway (pressure sensors) (radar positioning) at end walkway. assessed during normal adaptive locomotion experimental conditions (walking-while-talking, obstacle, narrow walking, fast walking). selected as measure it good predictor functional but also associated physical cognitive functioning adults. Each conducted twice randomized order, trials performed last. For intra-session reliability testing, we two blocks walks within participant session separated by approximately 30 minutes. Intraclass Correlation Coefficient (A,1) (ICC ) used validity. Linear regression, adjusted gender, investigate association between cognition health-related quality life scores. Results ICC = 0.999[95% Confidence Interval [CI]: 0.997 0.999] [ICC 0.921, 95% CI: 0.725 0.969] excellent across all conditions. compared 0.993, 0.985 0.997]. found weak scores using Montreal Cognitive Assessment (estimated β-value 7.79, 2.79 12.80) no 12-item Short Form Survey 6.12, -7.12 19.36). Conclusion results demonstrate that reliable valid parameters clinics among

Language: Английский

Citations

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Motor Rehabilitation and Biofeedback DOI
K. Jayasankara Reddy

Published: Jan. 1, 2025

Language: Английский

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0
Training and Education for Rehabilitation Professionals DOI
K. Jayasankara Reddy

Published: Jan. 1, 2025

Language: Английский

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0
Speech and Language Rehabilitation Technologies DOI
K. Jayasankara Reddy

Published: Jan. 1, 2025

Citations

0
The Effectiveness of Preoperative Outpatient and Home Rehabilitation and the Impact on the Results of Hip Arthroplasty: Introductory Report DOI Open Access
Adam Zdziechowski, Magdalena Zdziechowska, Jacek Rysz

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 12(3), P. 327 - 327

Published: Jan. 26, 2024

A total hip replacement is the treatment of choice for end-stage osteoarthritis. Rehabilitation performed before surgery (called prehabilitation) used to improve results surgical treatment. However, studies have not unquestionably confirmed effectiveness preoperative rehabilitation and its impact on outcome surgery. The aim this study assess outpatient home in relation a control group subject these forms influence. 61 patients qualified primary arthroplasty were randomly assigned with surgery, exercises at home, or without any intervention Three weeks after re-qualified underwent three day department. from all groups evaluated terms functionality pain using point scales upon enrolment study, admission department, 3 50 subjects completed study. did reveal statistically significant differences between no intervention. Patients rehabilitated gave up self-therapy more often than those undergoing rehabilitation.

Language: Английский

Citations

1
Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy DOI Creative Commons
Martina Sassi,

Mariajose Villa Corta,

Matteo Giuseppe Pisani

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(9), P. 2936 - 2936

Published: May 5, 2024

Shoulder pain represents the most frequently reported musculoskeletal disorder, often leading to significant functional impairment and pain, impacting quality of life. Home-based rehabilitation programs offer a more accessible convenient solution for an effective shoulder disorder treatment, addressing logistical financial constraints associated with traditional physiotherapy. The aim this systematic review is report monitoring devices currently proposed tested in home settings. research question was formulated using PICO approach, PRISMA guidelines were applied ensure transparent methodology process. A comprehensive search PubMed Scopus conducted, results included from 2014 up 2023. Three different tools (i.e., Rob 2 version Cochrane risk-of-bias tool, Joanna Briggs Institute (JBI) Critical Appraisal ROBINS-I tool) used assess risk bias. Fifteen studies as they fulfilled inclusion criteria. showed that wearable systems represent promising remote technologies, offering quantitative clinically meaningful insights into progress individuals within pathway. Recent trends indicate growing use low-cost, non-intrusive visual tracking devices, such camera-based systems, domain tele-rehabilitation. integration home-based alongside methods acquiring attention, broader access high-quality care, potentially reducing healthcare costs in-person therapy.

Language: Английский

Citations

1
Classifying Residual Stroke Severity using Robotics-Assisted Stroke Rehabilitation: A Machine Learning Approach (Preprint) DOI Creative Commons
Russell Jeter,

Raymond Greenfield,

Stephen N. Housley

et al.

JMIR Biomedical Engineering, Journal Year: 2024, Volume and Issue: 9, P. e56980 - e56980

Published: July 31, 2024

Background Stroke therapy is essential to reduce impairments and improve motor movements by engaging autogenous neuroplasticity. Traditionally, stroke rehabilitation occurs in inpatient outpatient facilities. However, recent literature increasingly explores moving the recovery process into home integrating technology-based interventions. This study advances this goal promoting in-home, autonomous for patients who experienced a through robotics-assisted classifying residual severity using machine learning methods. Objective Our main objective use kinematics data collected during self-guided sessions develop supervised methods, address clinician’s classification of severity–labeled toward improving rehabilitation. Methods In total, 33 participated in-home Motus Nova robotics technology capture upper lower body motion. During each session, Hand Foot devices movement data, assistance activity-specific data. We then synthesized, processed, summarized these Next, session were paired with clinician-informed, discrete labels: “no range motion (ROM),” “low ROM,” “high ROM.” Afterward, an 80%:20% split was performed divide dataset training set holdout test set. used 4 algorithms classify severity: light gradient boosting (LGB), extra trees classifier, deep feed-forward neural network, classical logistic regression. selected models based on 10-fold cross-validation measured their performance F1-score identify which model maximizes accuracy. Results demonstrated that LGB method provides most reliable detection severity. The trained consensus consists 139 decision up 115 leaves each. boasts 96.70% compared regression (55.82%), classifier (94.81%), network (70.11%). Conclusions showed how objectively methods can be class, efforts enhance self-guided, individualized we relies only summary statistics, meaning it potentially integrated similar settings real-time classification, such as

Language: Английский

Citations

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Outcome Measures Utilized to Assess the Efficacy of Telerehabilitation for Post-Stroke Rehabilitation: A Scoping Review DOI Creative Commons
Ardalan Shariat, Mahboubeh Ghayour Najafabadi, Noureddin Nakhostin Ansari

et al.

Brain Sciences, Journal Year: 2023, Volume and Issue: 13(12), P. 1725 - 1725

Published: Dec. 17, 2023

Outcome measures using telerehabilitation (TR) in the context of post-stroke rehabilitation are an area emerging research. The current review assesses literature related to TR for patients requiring rehabilitation. purpose this study is survey outcome used studies and define which parts International Organization Functioning measured trials.

Language: Английский

Citations

2
Navigating the integration of technology in physiotherapy: A balanced approach DOI Creative Commons
Thangamani Ramalingam, Niraj Bhansali, Toral Bhansali

et al.

IP Journal of Surgery and Allied Sciences, Journal Year: 2024, Volume and Issue: 6(1), P. 1 - 4

Published: April 10, 2024

The integration of technology in physiotherapy practices holds immense promise for advancing patient care and outcomes. Yet, the swift evolution technological solutions necessitates a cautious discerning approach from physiotherapists. This article explores complexities surrounding adoption physiotherapy, emphasizing thorough evaluation, critical analysis, context-driven implementation. By acknowledging limitations constraints inherent various advancements, physiotherapists can effectively harness their potential while prioritizing patient-centered evidence-based practice. Such an ensures that serves as tool to augment clinical decision-making therapeutic interventions, rather than overshadowing fundamental principles personalized holistic rehabilitation. As continues reshape landscape balanced strategy values both innovation well-being remains paramount optimizing outcomes fostering sustainable healthcare practices.

Language: Английский

Citations

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