Wireless EMG-Based Monitoring of Paraspinal Muscle Activation in Adolescent Idiopathic Scoliosis
AIS-EMG
Design of a Wireless and Non-Invasive EMG-Based Embedded Measurement System for Monitoring Muscle Activation Asymmetries in Scoliosis
1 other identifier
interventional
100
1 country
1
Brief Summary
This study aims to develop and evaluate a wireless, non-invasive, embedded electromyography (EMG) system for monitoring paraspinal muscle activation asymmetries in adolescents with idiopathic scoliosis. Surface EMG electrodes will be placed bilaterally around the apical vertebra of the spinal curve to record muscle activity during static (seated) and dynamic (trunk extension) tasks. Measurements will be taken longitudinally over the course of physiotherapy treatment to evaluate whether the recorded muscle activity patterns can serve as an objective, non-invasive indicator of treatment response, potentially reducing reliance on repeated radiographic (X-ray) follow-up.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Sep 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 22, 2026
CompletedFirst Posted
Study publicly available on registry
July 31, 2026
CompletedStudy Start
First participant enrolled
September 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2027
Study Completion
Last participant's last visit for all outcomes
August 31, 2028
July 31, 2026
July 1, 2026
12 months
July 22, 2026
July 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Paraspinal Muscle Activation Asymmetry Index
An asymmetry index will be calculated from bilateral surface EMG RMS (root mean square) values recorded at the apical vertebra level during static and dynamic tasks, comparing convex- and concave-side paraspinal muscle activation. Change in this index over the course of treatment will be evaluated.
Baseline and through study completion, an average of 1 year
Secondary Outcomes (2)
Correlation Between EMG-Based Muscle Activation Asymmetry Index and Clinical Treatment Outcome (Cobb Angle Change)
Baseline and through study completion, an average of 1 year
Device Signal Acquisition Success Rate
through study completion, an average of 1 year
Study Arms (1)
Experimental: Wireless EMG Monitoring
EXPERIMENTALAll enrolled participants (adolescents with idiopathic scoliosis, Cobb angle 10°-25°) will undergo surface EMG monitoring using the study's custom-developed wireless, embedded measurement system. Bilateral paraspinal EMG recordings will be obtained at the level of the apical vertebra during standardized static (seated) and dynamic (prone trunk extension) tasks. Measurements will be repeated at multiple time points over the course of each participant's physiotherapy treatment to longitudinally assess muscle activation asymmetry.
Interventions
A custom-developed, low-power, wireless, non-invasive surface EMG system consisting of skin-surface electrodes, an analog front-end (AFE) for signal conditioning and digitization, and a microcontroller-based wireless communication module. Electrodes are placed bilaterally on the paraspinal muscles at the apical vertebra level, approximately 3 cm lateral to the spinous process. EMG signals are sampled at ≥1000 Hz using a differential (bipolar) configuration and analyzed for root mean square (RMS), mean absolute value (MAV), and frequency-domain (FFT) parameters to quantify muscle activation asymmetry between the convex and concave sides of the spinal curve.
Eligibility Criteria
You may qualify if:
- Diagnosed with adolescent idiopathic scoliosis
- Cobb angle between 10° and 25°
- No prior surgical or conservative treatment for scoliosis
You may not qualify if:
- Neurological disease
- Significant concomitant orthopedic problems
- Back pain severe enough to interfere with the measurement process
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Amasya University
Amasya, Amasya, 05100, Turkey (Türkiye)
Related Publications (4)
Weinstein SL, Dolan LA, Cheng JC, Danielsson A, Morcuende JA. Adolescent idiopathic scoliosis. Lancet. 2008 May 3;371(9623):1527-37. doi: 10.1016/S0140-6736(08)60658-3.
PMID: 18456103BACKGROUNDLiang R, Yip J, Fan Y, Cheung JPY, To KM. Electromyographic Analysis of Paraspinal Muscles of Scoliosis Patients Using Machine Learning Approaches. Int J Environ Res Public Health. 2022 Jan 21;19(3):1177. doi: 10.3390/ijerph19031177.
PMID: 35162203BACKGROUNDFan Y, To MK, Yeung EHK, Kuang GM, Liang R, Cheung JPY. Electromyographic Discrepancy in Paravertebral Muscle Activity Predicts Early Curve Progression of Untreated Adolescent Idiopathic Scoliosis. Asian Spine J. 2023 Oct;17(5):922-932. doi: 10.31616/asj.2023.0199. Epub 2023 Sep 11.
PMID: 37690987BACKGROUNDChan WWY, Fu SN, Chong TF, Singh G, Tsai DSJ, Wong MCY, Zheng YP, Parent EC, Cheung JPY, Wong AYL. Associations between paraspinal muscle characteristics and spinal curvature in conservatively treated adolescent idiopathic scoliosis: a systematic review. Spine J. 2024 Apr;24(4):692-720. doi: 10.1016/j.spinee.2023.11.008. Epub 2023 Nov 24.
PMID: 38008187BACKGROUND
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Assist. Prof. Dr.
Study Record Dates
First Submitted
July 22, 2026
First Posted
July 31, 2026
Study Start (Estimated)
September 1, 2026
Primary Completion (Estimated)
August 31, 2027
Study Completion (Estimated)
August 31, 2028
Last Updated
July 31, 2026
Record last verified: 2026-07
Data Sharing
- IPD Sharing
- Will not share
Individual participant data will not be shared. EMG recordings, clinical assessment data (including Cobb angle measurements), and other study data will be stored securely and will be accessible only to the research team. Personal identifying information will be kept separate from the analysis dataset. Study findings will be reported in aggregate form in scientific publications, without disclosing any individual participant's identity or raw data.