A Systematic Review of Machine Learning in Robotics-Assisted Rehabilitation DOI Creative Commons
Giovanna Nicora,

Samuele Pe,

Gabriele Santangelo

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Abstract Robotic technology is expected to transform rehabilitation settings, by providing precise, repetitive, and task-specific interventions, thereby potentially improving patients’ clinical outcomes. Artificial intelligence (AI) machine learning (ML) have been widely applied in different areas support robotic rehabilitation, from controlling robot movements real-time patient assessment. To provide overview the current landscape impact of AI/ML use robotics we performed a systematic review focusing on AI broad perspective, encompassing pathologies body districts, considering both motor neurocognitive rehabilitation. We searched Scopus IEEE Xplore databases, studies involving human participants. After article retrieval, tagging phase was carried out devise comprehensive easily-interpretable taxonomy: its categories include aim within system, type algorithms used, location robots sensors. The selected articles span multiple domains diverse aims, such as movement classification, trajectory prediction, evaluation, demonstrating potential ML revolutionize personalized therapy improve engagement. reported highly effective predicting intentions, assessing outcomes, detecting compensatory movements, insights into future interventions. Our analysis also reveals pitfalls this area, explainability issues poor generalization ability when these systems are real-world settings.

Language: Английский

Global Research Hotspots and Trends in Advances of the Ilizarov Technique: A Bibliometric Mapping DOI Creative Commons
Xinxin Wang, Fei Lu, Wenxia Wang

et al.

Orthopaedic Surgery, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

ABSTRACT Objective An updated bibliometric analysis is needed to address the lack of comprehensive understanding Ilizarov technique's research trends and hotspots, fostering collaboration technology adoption. CiteSpace was utilized perform co‐citation analyzes on authors, countries, institutions, journals cited journals, authors literature, along with keywords. This approach aimed identify leaders, collaborating hotspots associated technique, while also predicting future development trends. Methods Data relevant technologies from 1994 2023 were extracted Science Net's core collection. Excel develop an exponential function for forecasting annual publication numbers. V5.5 used conduct analyzes, which included countries (regions), citation citations, Burst detection algorithms applied analyze keywords, keyword clustering achieved using logarithmic likelihood ratio. Results A total 2030 studies collected, publications technique fitting model Y = 3E‐37e 0.0439 x ( R 2 0.7979). Morasiewicz Piotr University Opole in Poland emerged as most prolific author. The leading USA China, notable institutions Egyptian Knowledge Bank National Scientific Center Restorative Traumatology Orthopaedic. Research outputs appeared primarily orthopedics surgery, a focus keywords such management, external fixation, distraction osteogenesis, reconstruction, method. Conclusions Based current global trends, number field will continue increase. Future likely place more emphasis advancing application concepts device development.

Language: Английский

Citations

0
Hot Topics and Frontier Evolution of Formation Control Research in Multiple Robots DOI Creative Commons
Yong Xu, Malathy Batumalay, Choon Kit Chan

et al.

Journal of Robotics, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

This research conducts an extensive bibliometric analysis of the literature on formation control multiple robots. The main objective is to offer a comprehensive present condition and future potential this area. To accomplish this, employs methodology examine current trends forecast developments. gathered total 1656 journal articles from Web Science (WoS) database. utilizes bibliographic coupling keyword co‐occurrence analyses identify influential publications, delineate knowledge structure, trends. yielded four separate clusters, while revealed clusters. Although importance in robots growing, more scholarly effort necessary fully understand academic panorama. article provides significant insights into rapidly expanding field Furthermore, it offers thorough examination diverse emphasizes its for ongoing advancement.

Language: Английский

Citations

0
Adaptive patient-cooperative compliant control of lower limb rehabilitation robot DOI Creative Commons
Lingling Chen,

Jiabao Huang,

Y Wang

et al.

Biomimetic Intelligence and Robotics, Journal Year: 2024, Volume and Issue: 4(2), P. 100155 - 100155

Published: March 16, 2024

With the increase in number of stroke patients, there is a growing demand for rehabilitation training. Robot-assisted training expected to play crucial role meeting this demand. To ensure safety and comfort patients during training, it important have patient-cooperative compliant control system robots. In order enhance motion compliance hierarchical adaptive strategy that includes patient-passive exercise proposed. A low-level backstepping position controller selected accurate tracking desired trajectory. At high-level, an admittance employed plan trajectory based on interaction force between patient robot. The results patient-robot cooperation experiment robot show significant improvement trajectory, with decrease 76.45% dimensionless squared jerk (DSJ) 15.38% normalized root mean square deviation (NRMSD) when using controller. proposed effectively enhances movements, thereby ensuring

Language: Английский

Citations

3
Upper limb exoskeleton rehabilitation robot inverse kinematics modeling and solution method based on multi-objective optimization DOI Creative Commons
Yuansheng Ning, Lingfeng Sang, Hongbo Wang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 26, 2024

The inverse kinematics problem of exoskeleton rehabilitation robots is challenging due to the lack a standard analytical model, resulting in complex and varied solution process. This complexity especially pronounced redundant upper limb robots, where inefficient solutions hinder robot's ability adapt kinematic shape limb. paper proposes modeling method based on multi-objective optimization address robots. We analyzed validated this using robot system developed by ourselves. First, we established model defining end-position function, joint motion comfort energy consumption safety, human-like constraints. Then, was designed Improved Equilibrium Optimization (IEO) algorithm its computational performance terms ability, accuracy, robustness. Finally, experimentally tested with IEO discrete objectives continuous training trajectories system. results show that incorporating constraints into can not only quickly solve but also significantly improve shape. Furthermore, it has better accuracy stronger robustness than other algorithms when solving algorithm.

Language: Английский

Citations

2
Effect of eye-tracking-based attention training for patients with poststroke cognitive impairment: a study protocol for a prospective, single-blinded, single-centre, randomised controlled trial in China DOI Creative Commons
Weijia Wang, Mingke You, Wanting Ma

et al.

BMJ Open, Journal Year: 2024, Volume and Issue: 14(2), P. e079917 - e079917

Published: Feb. 1, 2024

Poststroke cognitive impairment (PSCI) is a common dysfunction that places great burden on patients who had stroke and their families. Approximately 46%-92% of survivors experience some degree attention problems after stroke. Improving considered the core successfully improving function reintegrating into daily life. Eye tracking technology provides real-time feedback accurate monitoring processing, using this to introduce training may improve patient treatment outcomes. The main purpose study was investigate whether eye-tracking-based has positive effect with PSCI. This prospective randomised controlled trial. We will recruit 48 PSCI referred Department Rehabilitation Medicine at West China Hospital, Sichuan University, in Southwest China. participants be randomly distributed two groups. Both groups undergo conventional rehabilitation for 3 weeks, intervention group receive weeks (20-30 min/day). primary outcome patients' function, measured by Montreal Cognitive Assessment. secondary outcomes attention, independence activities event-related potential. These assessed baseline, end (3 weeks) follow-up (1 month months treatment). report statistics estimations 95% CI. trial received ethics approval from Ethics Committee Biomedical Research, Hospital University (2023 review No. 258). results disseminated via academic publication. ChiCTR2300068727.

Language: Английский

Citations

1
Cardiovascular Comorbidities in COVID-19: A Comprehensive Analysis of Key Topics (Preprint) DOI Creative Commons
Rene Markovič, Luka Ternar,

Tim Trstenjak

et al.

Interactive Journal of Medical Research, Journal Year: 2024, Volume and Issue: 13, P. e55699 - e55699

Published: May 23, 2024

The interrelation between COVID-19 and various cardiovascular metabolic disorders has been a critical area of study. There is growing need to understand how comorbidities such as diseases (CVDs) affect the risk severity COVID-19.

Language: Английский

Citations

1
Implanted cortical neuroprosthetics for speech and movement restoration DOI Creative Commons
William Muirhead, Hugo Layard Horsfall, Christine Aicardi

et al.

Journal of Neurology, Journal Year: 2024, Volume and Issue: 271(11), P. 7156 - 7168

Published: Oct. 24, 2024

Language: Английский

Citations

1
Does Research Funding, Open Access Availability, and Collaboration in Research Influence Citation Impact? An Analysis of Neurotechnology Research DOI
Altaf Ali, Mohammad Nazim,

Sheeza Qaiser

et al.

Journal of Electronic Resources in Medical Libraries, Journal Year: 2024, Volume and Issue: 21(2), P. 53 - 74

Published: April 2, 2024

The present study aims to explore the global landscape of neurotechnology research and investigate factors that influence its citation impact. data for were extracted from Web Science Core Collection database, resulting in a total 1,473 articles related neurotechnology. identified notable increase over time, peaking at 37.20% 2020 2023, with Scientific Reports as leading journal. Collaborative efforts two four authors constituted 42.90% articles. United States led country-level contributions (29.26%). University California secured top rank 4.48% publications. Department Health Human Services remains by contributing funding 7.46% papers field Neurotechnology research. Statistical tests confirmed significant correlations between funding, collaboration, availability mode Positive while open access showed negative correlation These findings deepen our understanding dynamics, providing insights researchers, institutions, policymakers.

Language: Английский

Citations

0
Rehabilitation Exoskeletons: a Systematic Literature Review DOI Open Access
Jordi Pallarés Robles, Juan Bory Reyes, Luis Manuel Hernández‐Simón

et al.

Revista Mexicana de Ingeniería Biomédica, Journal Year: 2024, Volume and Issue: 45(2), P. 78 - 99

Published: May 1, 2024

The accelerated evolution of technology in the last decade has enabled breakthroughs fields science such as medicine, robotics, bionics and rehabilitation by integrating knowledge techniques from these areas. Rehabilitation exoskeletons are examples multidisciplinary integration development physiotherapeutic intervention tools that have shown significant results patients with neurological diseases. This systematic literature review presents advances, developments characteristics devices their current situation, specifically those greatest impact on co-citation co-occurrence so works integrated into research verifiable reliable. is done through implementation a methodology for elaboration state art subject exoskeletons, based scientific databases, systematised digital bibliometric systemic integration. was compiled papers published between January 2014 30 November 2023, which were retrieved Web Science. first stage to define inclusion exclusion criteria order limit search within database, second process information obtained them using CiteSpace software, result this stage, analysis obtained, graphical network generated analysis, subsequently data previous stages, PRISMA method implemented. As third step, 1511 publications 108,512 reference citations dealing presented. A discussion main characteristics, limitations, challenges trends

Language: Английский

Citations

0
A correspondence of evaluation of deep learning algorithms in detecting Moyamoya disease: a systematic review and single-arm meta-analysis DOI
Xiaojian Li, Shiyu Chen, Shupeng Chen

et al.

Neurosurgical Review, Journal Year: 2024, Volume and Issue: 47(1)

Published: Aug. 21, 2024

Language: Английский

Citations

0