நரம்பியல் மறுவாழ்வுக்கான சர்வதேச இதழ்

Balance, Gait and Functional Performance in Neurological Patient Populations after Sensory Replaced Functional Training: A Comprehensive Analysis and Meta-Analysis

Abstract

Gongsun Long

Introduction: Tactile Replacement (SS) is the use of a single tangible method to provide natural data that are typically gathered by another sense while still protecting important aspects of the first sense.

Objective: In order to evaluate the viability of SS enhanced preparation for further developing equilibrium, stride, and practical execution in neurological patient populations, this orderly writing survey and meta-examination summarizes and combines existing evidence and information.

Method: Cochrane Library, PubMed, Web of Science, and Science Direct were used to conduct a methodical writing search. In order to make use of a SS preparation intervention, randomized controlled trials (RCTs) were included.

Results: There were nine incorporated RCTs. The equilibrium structure of Shumway-Cook and Woollcott was used to organize the measurement of results and the preparation of ideal models: Dynamic consistent state, proactive equilibrium, and the static consistent state. The capacity of stroke survivors to help bodyweight autonomously on paretic side lower appendage and Dynamic Consistent State equilibrium were found to have the biggest measurable and clinical impacts, while self-evaluation and useful limit results were also found to have significant impacts of SS preparation for all three results. Non-critical maintenance effects were also discovered by meta-analyses.

Conclusion: In working on Static consistent state, Dynamic consistent state, and Proactive equilibrium measures, as well as proportions of selfevaluation and useful limit in neurological patient populations, this survey demonstrates that SS preparation has a global beneficial effect. Even though no mediation met preparing measurements recommendations, maintenance of effects was not significant at follow-up evaluations. The best kind of preparing ideal models must be determined by taking into account specific patient populations, sensor types, and preparing modalities in future research.