A Methodology for Quantifying Neurological Adaptation to Physiotherapy in ACL-Injured Patients through Muscle Activity and Brain Connectivity Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study, we propose a methodology for investigating the effects of a single physiotherapy session on gait patterns and brain connectivity in patients with an anterior cruciate ligament (ACL) injury. A case study based for one patient with ACL injury is used for proof of concept. Both Gait and EEG data were collected before and after therapy which consisted of electrical muscle stimulation and ultrasound. Muscle activity in the right lower limb showed significant changes post-therapy, particularly in the vastus lateralis, rectus femoris, and gastrocnemius muscles. Meanwhile, analysis of brain functional connectivity revealed increased connectivity in the frontal regions and between motor-related brain areas post-therapy, suggesting enhanced motor control and coordination. These findings highlight the potential of targeted physiotherapy interventions to improve both physical and neurological aspects of rehabilitation in ACL-injured individuals. More clinical studies are needed to validate our preliminary data.

Original languageBritish English
Title of host publicationICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering
Pages157-161
Number of pages5
ISBN (Electronic)9798400718274
DOIs
StatePublished - 6 Feb 2025
Event11th International Conference on Biomedical and Bioinformatics Engineering, ICBBE 2024 - Osaka, Japan
Duration: 8 Nov 202411 Nov 2024

Publication series

NameICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering

Conference

Conference11th International Conference on Biomedical and Bioinformatics Engineering, ICBBE 2024
Country/TerritoryJapan
CityOsaka
Period8/11/2411/11/24

Keywords

  • ACL
  • EEG
  • EMG
  • gait analysis

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