Rehabilitation robotics after stroke: a bibliometric literature review

G Zuccon, B Lenzo, M Bottin… - Expert Review of Medical …, 2022 - Taylor & Francis
Introduction Stroke is the leading cause of long-term disability in developed countries. Due
to population aging, the number of people requiring rehabilitation after stroke is going to rise …

[Retracted] Progress of Proprioceptive Training in the Treatment of Traumatic Shoulder Instability

S Lv, Y Chen, M Liu, L Qin, Z Liu, W Liu… - … Methods in Medicine, 2022 - Wiley Online Library
In individuals with traumatic shoulder instability, there is a loss of proprioception. This paper
reviews the academic literature on shoulder instability and functional impairment in recent …

EMG-driven fatigue-based self-adapting admittance control of a hand rehabilitation robot

M Mashayekhi, MM Moghaddam - Journal of Biomechanics, 2022 - Elsevier
Upper-limb rehabilitation therapy sessions for post-stroke people generally contain rhythmic
hand movements in a tiresome manner to rebuild the injured neural circuits. Fatigue …

Short-Interval Priming Effects: An EEG Study of Action Observation on Motor Imagery

Z Sun, YC Jiang, Y Li, J Song… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
How to effectively set and adjust training tasks is the main challenge of task-oriented
rehabilitation. Recent studies have shown that motor priming effects could be used as an …

Finding the way to improve motor recovery of patients with spinal cord lesions: a case-control pilot study on a novel neuromodulation approach

A Naro, L Billeri, T Balletta, P Lauria, MP Onesta… - Brain Sciences, 2022 - mdpi.com
Robot-assisted rehabilitation (RAR) and non-invasive brain stimulation (NIBS) are
interventions that, both individually and combined, can significantly enhance motor …

Effects of a Novel Proprioceptive Rehabilitation Device on Shoulder Joint Position Sense, Pain and Function

AC Gliga, NE Neagu, S Voidazan, HV Popoviciu… - Medicina, 2022 - mdpi.com
Background and Objectives: Shoulder disorders are associated with pain, restricted range of
motion and muscular strength, moderate disability and diminished proprioception. This study …

[HTML][HTML] 基于改进机器学习算法的步态识别与预测研究

经纬高, 超马, 鸿苏, 少红王, 小力徐… - Sheng Wu Yi Xue Gong …, 2022 - ncbi.nlm.nih.gov
针对人体下肢不同步态过程的个体差异和行走过程中步幅随机变化等问题,
本文提出一种利用运动姿态信号进行步态识别与预测的方法。 研究采用基于免疫粒子群算法 …

A simulation study of functional electrical stimulation for an upper limb rehabilitation robot using iterative learning control (ILC) and linear models

BE Faremi, KP Ayodele, AM Jubril, AA Fakunle… - arXiv preprint arXiv …, 2022 - arxiv.org
A proportional iterative learning control (P-ILC) for linear models of an existing hybrid stroke
rehabilitation scheme is implemented for elbow extension/flexion during a rehabilitative task …

Motor recovery in stroke rehabilitation supported by robot-assisted therapy

AM Cinnera, G Morone - Assistive Technologies for Assessment and …, 2022 - igi-global.com
This chapter discussed the potential usefulness of robot-assisted therapy for motor recovery
after a stroke. An overview of the available literature was performed providing up-to-date …

Developing an Upper Limb Kinematics Database of Activities of Daily Living

M Huang, SMSF Freitas… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Open-access databases can facilitate data sharing among researchers and provide
normative data for objective clinical assessment development, robotic design, and …