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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
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.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Alpaslan Ersöz, Ph.D
- Phone Number: +905312561935
- Email: alpaslan.ersoz@amasya.edu.tr
Study Locations
-
-
Amasya
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Amasya, Amasya, Turkey (Türkiye), 05100
- Amasya University
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Sub-Investigator:
- Ertuğrul Deniz Köse, Ph.D
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Contact:
- Alpaslan Ersöz, Ph.D
- Phone Number: +905312561935
- Email: alpaslan.ersoz@amasya.edu.tr
-
Principal Investigator:
- Alpaslan Ersöz, Ph.D
-
Sub-Investigator:
- Eylem Küçük, Ph.D
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Experimental: Wireless EMG Monitoring
All 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.
|
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.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Paraspinal Muscle Activation Asymmetry Index
Time Frame: Baseline and through study completion, an average of 1 year
|
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 Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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
|
The relationship between change in EMG-derived muscle activation asymmetry and change in Cobb angle (measured via standard clinical radiography) will be evaluated using appropriate correlation analysis.
|
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
|
The proportion of EMG recording sessions in which signal quality meets predefined criteria for analysis (e.g., acceptable signal-to-noise ratio, no excessive artifact), assessing the technical feasibility of the wireless embedded measurement system in a clinical setting.
|
through study completion, an average of 1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General 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.
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- Amasya Uni-EMG
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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