Literature DB >> 35953757

Research and application advances in rehabilitation assessment of stroke.

Kezhou Liu1, Mengjie Yin, Zhengting Cai.   

Abstract

Stroke has a high incidence and disability rate, and rehabilitation is an effective means to reduce the disability rate of patients. To systematize rehabilitation assessment, which is the foundation for rehabilitation therapy, we summarize the assessment methods commonly used in research and clinical applications, including the various types of stroke rehabilitation scales and their applicability, and related biomedical detection technologies, including surface electromyography (sEMG), motion analysis systems, transcranial magnetic stimulation (TMS), magnetic resonance imaging (MRI), and combinations of different techniques. We also introduce some assessment techniques that are still in the experimental phase, such as the prospective application of artificial intelligence (AI) with optical correlation tomography (OCT) in stroke rehabilitation. This review provides a useful bibliography for the assessment of not only the severity of stroke injury, but also the therapeutic effects of stroke rehabilitation, and establishes a solid base for the future development of stroke rehabilitation skills.

Entities:  

Keywords:  Artificial intelligence; Detection technology; Rehabilitation assessment; Stroke; Stroke assessment scales

Mesh:

Year:  2022        PMID: 35953757      PMCID: PMC9381330          DOI: 10.1631/jzus.B2100999

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN: 1673-1581            Impact factor:   5.552


  114 in total

1.  Quantification of cerebral vascular perfusion density via optical coherence tomography based on locally adaptive regional growth.

Authors:  Zhenhe Ma; Ning Ding; Yao Yu; Yushu Ma; Xincheng Yuan; Yi Wang; Yuqian Zhao; Jingmin Luan; Jian Liu
Journal:  Appl Opt       Date:  2018-12-10       Impact factor: 1.980

2.  Depth-resolved model-based reconstruction of attenuation coefficients in optical coherence tomography.

Authors:  K A Vermeer; J Mo; J J A Weda; H G Lemij; J F de Boer
Journal:  Biomed Opt Express       Date:  2013-12-23       Impact factor: 3.732

3.  Longitudinal study of diffusion tensor imaging properties of affected cortical spinal tracts in acute and chronic hemorrhagic stroke.

Authors:  Chicheng Ma; Aijun Liu; Zhenzuo Li; Xueying Zhou; Shengnian Zhou
Journal:  J Clin Neurosci       Date:  2014-04-16       Impact factor: 1.961

4.  The Mini-Mental State Examination.

Authors:  M F Folstein; L N Robins; J E Helzer
Journal:  Arch Gen Psychiatry       Date:  1983-07

Review 5.  Biomarkers of Stroke Recovery: Consensus-Based Core Recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Authors:  Lara A Boyd; Kathryn S Hayward; Nick S Ward; Cathy M Stinear; Charlotte Rosso; Rebecca J Fisher; Alexandre R Carter; Alex P Leff; David A Copland; Leeanne M Carey; Leonardo G Cohen; D Michele Basso; Jane M Maguire; Steven C Cramer
Journal:  Neurorehabil Neural Repair       Date:  2017 Oct-Nov       Impact factor: 3.919

6.  Reflex-mediated dynamic neuromuscular stabilization in stroke patients: EMG processing and ultrasound imaging.

Authors:  Hyun S Yoon; Joshua Sung H You
Journal:  Technol Health Care       Date:  2017-07-20       Impact factor: 1.285

7.  Power spectral analysis of surface electromyography (EMG) at matched contraction levels of the first dorsal interosseous muscle in stroke survivors.

Authors:  Xiaoyan Li; Henry Shin; Ping Zhou; Xun Niu; Jie Liu; William Zev Rymer
Journal:  Clin Neurophysiol       Date:  2013-11-21       Impact factor: 3.708

8.  Structural integrity of corticospinal motor fibers predicts motor impairment in chronic stroke.

Authors:  R Lindenberg; V Renga; L L Zhu; F Betzler; D Alsop; G Schlaug
Journal:  Neurology       Date:  2010-01-26       Impact factor: 9.910

Review 9.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

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