Results 121 to 130 of about 12,399 (288)

Research progress on robot ⁃ assisted gait training to improve gait disorder in Parkinson's disease

Chinese Journal of Contemporary Neurology and Neurosurgery
Gait disorder is one of common motor symptoms in patients with Parkinson's disease (PD), significantly affecting their quality of life and mobility. Robot ‑ assisted gait training (RAGT) can improve the motor symptoms of PD patients, particularly in ...
ZHAO Qing, BU Shi‑ying, JIN Ling‑jing   +2 more
doaj   +1 more source

Effects of Robot Assisted Gait Training in Progressive Supranuclear Palsy (PSP): a preliminary report.

Frontiers in Human Neuroscience, 2014
Background and Purpose: Progressive supranuclear palsy (PSP) is a rare neurodegenerative disease clinically characterized by prominent axial extrapyramidal motor symptoms with frequent falls.
Patrizio eSale, Fabrizio eStocchi, Maria Francesca eDe Pandis, Daniele eGalafate, Calogero eFoti, Marco eFranceschini   +5 more
doaj   +1 more source

Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh, Archit Gupta, Azhar Perwaiz, Adarsh Chaudhary   +3 more
wiley   +1 more source

Biofeedback for robotic gait rehabilitation

Journal of NeuroEngineering and Rehabilitation, 2007
Background Development and increasing acceptance of rehabilitation robots as well as advances in technology allow new forms of therapy for patients with neurological disorders.
Colombo Gery, Lünenburger Lars, Riener Robert   +2 more
doaj   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Stroke Gait Rehabilitation: A Comparison of End-Effector, Overground Exoskeleton, and Conventional Gait Training

Applied Sciences, 2019
Gait recovery is one of the main goals of post-stroke rehabilitation and Robot-Assisted Gait Training (RAGT) has shown positive outcomes. However, there is a lack of studies in the literature comparing the effects of different devices. This paper aims to
Michela Goffredo, Chiara Iacovelli, Emanuele Russo, Sanaz Pournajaf, Chiara Di Blasi, Daniele Galafate, Leonardo Pellicciari, Maurizio Agosti, Serena Filoni, Irene Aprile, Marco Franceschini   +10 more
doaj   +1 more source

Virtual reality for enhancement of robot-assisted gait training in children with central gait disorders

Journal of Rehabilitation Medicine, 2011
To examine the effect of various forms of training interventions, with and without virtual reality, on the initiation and maintenance of active participation during robot-assisted gait training.Intervention study at the Rehabilitation Centre Affoltern a.
Brütsch, K, Koenig, Alexander, Zimmerli, Lukas, Mérillat-Koeneke, S, Riener, Robert, Jäncke, Lutz, van Hedel, Hubertus J A, Meyer-Heim, Andreas   +7 more
openaire   +3 more sources

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source