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find Keyword "stroke hemiplegia" 2 results
  • Remote Intelligent Brunnstrom Assessment System for Upper Limb Rehabilitation for Post-stroke Based on Extreme Learning Machine

    In order to realize an individualized and specialized rehabilitation assessment of remoteness and intelligence, we set up a remote intelligent assessment system of upper limb movement function of post-stroke patients during rehabilitation. By using the remote rehabilitation training sensors and client data sampling software, we collected and uploaded the gesture data from a patient's forearm and upper arm during rehabilitation training to database of the server. Then a remote intelligent assessment system, which had been developed based on the extreme learning machine (ELM) algorithm and Brunnstrom stage assessment standard, was used to evaluate the gesture data. To evaluate the reliability of the proposed method, a group of 23 stroke patients, whose upper limb movement functions were in different recovery stages, and 4 healthy people, whose upper limb movement functions were normal, were recruited to finish the same training task. The results showed that, compared to that of the experienced rehabilitation expert who used the Brunnstrom stage standard table, the accuracy of the proposed remote Brunnstrom intelligent assessment system can reach a higher level, as 92.1%. The practical effects of surgery have proved that the proposed system could realize the intelligent assessment of upper limb movement function of post-stroke patients remotely, and it could also make the rehabilitation of the post-stroke patients at home or in a community care center possible.

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  • Effect of arm sling on shoulder subluxation in stroke patients with hemiplegia: a meta-analysis

    Objective To systematically evaluate the effect of arm sling on shoulder subluxation in stroke patients with hemiplegia. METHODS CNKI, Wanfang, VIP, PubMed, Web of Science, Embase, Cochrane Library, OVID, EBM Reviews, Best Practice, ACP Journal Club, and Practice Guidline were searched from establishment to March 2023. The literature on randomized controlled trials of arm sling on gait or balance in post-stroke patients with hemiplegia were included. RevMan 5.4.1 software was used for meta-analysis. Results A total of 13 articles were included, including 691 subjects, 343 in the experimental group, and 348 in the control group. The meta-analysis results showed that patients wearing the boom arm were effective in improving the recovery of upper extremity function [mean difference (MD)=8.12, 95% confidence interval (CI) (2.39, 11.60), P<0.000 01], relieving pain due to shoulder subluxation [MD=−1.13, 95%CI (−1.70, −0.56), P=0.000 1], and enhancement of patients’ quality of life in daily activities [MD=15.07, 95%CI (3.24, 26.90), P=0.01], all of which were superior to the control group. However, there was no statistically significant difference between the two groups in terms of Apnea-Hypopnea Index [MD=−1.86, 95%CI (−3.79, 0.06), P=0.06], 6 min walking test [MD=−0.51, 95%CI (−18.52, 17.49), P=0.96], 10 meter walk time [MD=0.00, 95%CI (−0.06, 0.06), P=0.91], heart rate [MD=−0.22, 95%CI (−5.10, 4.27), P=0.93], and Berg balance scale [MD=−2.53, 95%CI (−8.17, 3.10), P=0.38]. Conclusion The use of arm sling can effectively improve patients’ quality of life, functional recovery of the upper limbs and reduce pain, providing an evidence-based basis for healthcare professionals to treat patients with proven treatment modalities.

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