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◆ Journal of Speech Language and Hearing Research2026-06-18· Electromyography

Optimization and Device-Level Validation of the i-Phagia Surface Electromyography Submental Sensor Patch for Swallowing Monitoring: A Randomized Crossover Design Study

Georgia A. Malandraki, Ching-Hsuan Peng, Kevin Berry, Macy Griffis, Arica Rusco, B Wilen Craig

原始摘要(英文原文)· Original abstract
Purpose: Surface electromyography (sEMG) is a promising biofeedback method for swallowing intervention. Current sensors are either costly rigid platforms or short-lived wearables. We developed a second-generation flexible wearable sEMG patch (i-Phagia) designed to record submental muscle activity. This study validated the signal quality and preclinical performance of i-Phagia against conventional sensors in two age groups. Method: A randomized crossover study involved 30 young (17 women, 13 men; aged 18–29 years) and 30 older healthy adults (17 women, 13 men; aged 50–82 years). Participants completed liquid and semisolid swallows under two conditions: with i-Phagia sensors and with conventional sensors, in a counterbalanced order. Comparisons focused on signal-based factors (signal-to-noise ratio [SNR], baseline amplitude, and normalized mean sEMG amplitude), as well as safety, satisfaction, and placement efficiency. SNR and baseline amplitude were examined with linear mixed models and equivalence tests; Pearson correlations were used to analyze normalized mean sEMG amplitude. Safety/adverse effects were assessed with descriptive statistics, while satisfaction and efficiency were analyzed with linear mixed models. Results: SNR values were equivalent between sensor types (effect size: −0.0178; confidence interval [CI] [−0.2226, 0.2004]); however, the i-Phagia patch showed significantly lower baseline amplitude than conventional sensors (effect size: 0.48; CI [0.3144, 0.6422]), indicating better signal quality. High correlations ( r > .7) between normalized sEMG amplitudes across swallows suggest consistent muscle activity patterns across sensors. No pain was reported; skin redness was rare but twice as common after removing conventional sensors. Satisfaction was higher ( p < .0001), and application was more efficient with i-Phagia ( M = 1:28 vs. 2:19, p < .05). Conclusions: The optimized i-Phagia patch is safe, provides signal quality comparable to conventional sensors, and shows advantages in user satisfaction and placement efficiency. These findings support its feasibility for future clinical testing as a wearable sEMG option for swallowing rehabilitation. Supplemental Material: https://doi.org/10.23641/asha.32608575
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Optimization and Device-Level Validation of the i-Phagia Surface Electromyography Submental Sensor Patch for Swallowing Monitoring: A Randomized Crossover Design Study — 科研速览 Science Skim