Wireless EMG-Based Monitoring of Paraspinal Muscle Activation in Adolescent Idiopathic Scoliosis
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Wireless Embedded Surface EMG (sEMG) Measurement System.
- Who it may be relevant to
- Registry conditions: Adolescent Idiopathic Scoliosis (AIS). Basic parameters: 10 years — 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Turkey (Türkiye)
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Design of a Wireless and Non-Invasive EMG-Based Embedded Measurement System for Monitoring Muscle Activation Asymmetries in Scoliosis
Overview
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.
Detailed description
Adolescent idiopathic scoliosis (AIS) is a three-dimensional spinal deformity typically diagnosed and monitored through radiographic assessment of the Cobb angle. While imaging remains the clinical gold standard, it involves radiation exposure and is typically performed at limited intervals, making it less suitable for frequent, short-term monitoring of treatment response. Prior research has shown that paraspinal muscle activation asymmetries - particularly increased convex-side activation near the apex of the curve - are consistently observed in AIS and may serve as early, objective markers of curve progression and treatment response, as demonstrated in prospective cohort and machine-learning-based studies.
This study will use a custom-developed, low-power, wireless, embedded surface EMG (sEMG) measurement system, consisting of skin-surface EMG electrodes, an analog front-end (AFE) for signal conditioning and digitization, and a microcontroller-based wireless communication module. EMG signals will be sampled at a minimum of 1000 Hz using a differential (bipolar) electrode configuration to minimize noise and common-mode interference.
Electrodes will be placed bilaterally on the paraspinal muscles at the level of the apical vertebra of the major spinal curve, approximately 3 cm lateral to the spinous process, oriented parallel to the muscle fibers. Standard skin preparation procedures (shaving, alcohol cleaning) will be used to reduce skin impedance prior to electrode placement.
EMG recordings will be performed under two task conditions: a static task, in which participants sit upright with hips and knees flexed at 90°, arms at their sides, and feet on the floor; and a dynamic task, in which participants perform active trunk extension in the prone position for a defined number of repetitions. These tasks are designed to capture both static postural and dynamic movement-related muscle activation patterns.
Recorded EMG signals will be processed to calculate root mean square (RMS) and mean absolute value (MAV) parameters, with frequency-domain (FFT) analysis performed as needed. Convex- and concave-side RMS values at each vertebral level will be used to derive muscle activation ratios and asymmetry indices. Measurements will be repeated at different time points over the course of physiotherapy treatment to evaluate longitudinal changes in muscle activation patterns, and associations between EMG-based indices and clinical treatment outcomes will be examined using appropriate statistical methods.
The study is being conducted in two phases: an initial technical validation phase, in which system performance is verified using commercial EMG sensor evaluation boards and microcontroller-based development platforms; and a subsequent phase in which a custom-designed wireless sEMG system (incorporating a proprietary analog front-end and embedded control unit) is evaluated for feasibility and usability in monitoring muscle activation patterns in scoliosis patients during physiotherapy. Only the human-subjects (clinical) component of this work is registered here; the underlying hardware/firmware engineering and bench validation are not within the scope of this trial record.
Interventions
- Device Wireless Embedded Surface EMG (sEMG) Measurement System
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)
Primary outcome measures
- Change in Paraspinal Muscle Activation Asymmetry Index [Time frame: Baseline and through study completion, an average of 1 year]
Secondary outcome measures (2)
- Correlation Between EMG-Based Muscle Activation Asymmetry Index and Clinical Treatment Outcome (Cobb Angle Change) [Time frame: Baseline and through study completion, an average of 1 year]
- Device Signal Acquisition Success Rate [Time frame: through study completion, an average of 1 year]
Eligibility criteria
Inclusion criteria
- Diagnosed with adolescent idiopathic scoliosis
- Cobb angle between 10° and 25°
- No prior surgical or conservative treatment for scoliosis
Exclusion criteria
- Neurological disease
- Significant concomitant orthopedic problems
- Back pain severe enough to interfere with the measurement process
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Diagnostic
Study locations
Turkey (Türkiye) · 1 center
- Amasya University — Amasya
Publications
- 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 18456103
- Liang 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 35162203
- Fan 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 37690987
- Chan 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 38008187
Identifiers
NCT: NCT07738588 · Amasya Uni-EMG