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Objective Biomarker Development for Parameter Optimization in Neuromodulation Using High-Density EMG Temporal and
Shirin Madarshahian1,2, Nikoo Javadpour3, Michael Trakhtorchuck4
1Department of Biostatistics and Health Data Science, College of Health, Lehigh University, Bethlehem, PA 18015, USA.
High-density surface EMG objectively optimizes transcutaneous spinal cord stimulation (tSCS) for spinal cord injury (SCI) recovery. This approach reveals non-linear responses, guiding personalized tSCS parameter selection for improved motor function.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Rehabilitation Science
Background:
- Transcutaneous spinal cord stimulation (tSCS) shows promise for motor recovery post-spinal cord injury (SCI).
- Current tSCS programming relies on subjective parameter selection, limiting treatment efficacy.
- Objective biomarkers are needed to personalize tSCS for individuals with SCI.
Purpose of the Study:
- To evaluate high-density surface electromyography (HD-sEMG)-derived spatial and temporal features as objective biomarkers for optimizing tSCS.
- To investigate the dose-response relationships of tSCS parameters on muscle activation.
- To establish a framework for individualized tSCS parameter selection in SCI.
Main Methods:
- Three adults with chronic cervical SCI participated.
- A 64-channel HD-sEMG array recorded stimulation-evoked responses.
- Stimulation parameters included varying levels, pulse widths, and amplitudes.
- Spatial and temporal features were extracted from activation maps.
Main Results:
- Two participants showed measurable responses, enabling paired-pulse analyses.
- Root mean square (RMS) emerged as a key discriminative feature.
- Nonlinear, muscle- and level-specific dose-response relationships were observed, with maximal suppression at intermediate amplitudes.
- Increased pulse width expanded recruitment area but not response timing.
- Polarity reversal analysis confirmed stable innervation zone localization.
Conclusions:
- A spatially resolved HD-sEMG framework can provide objective biomarkers for tSCS optimization.
- This framework supports individualized tSCS parameter selection for SCI.
- Findings highlight complex dose-response relationships crucial for effective neuromodulation.
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