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mk-677 other 2026-04-03 PubMed

Neck Skin's Mechanical Properties Affect Voice Assessment Using Surface Accelerometers

Skin Acceleration Levels Estimated by a Neck-surface Accelerometer during Phonation Are Affected by The Mechanical Properties of The Anterior Cervical Skin.

Background

Neck-surface accelerometers are widely used for non-invasive assessment of phonation and vocal fold vibration, offering insights into voice health and dysphonia. However, the accuracy of these measurements relies on the assumption that the skin-sensor interface is consistent across individuals. This study addresses how the mechanical properties of the anterior cervical skin specifically impact the acceleration levels recorded during voice production.

Results

The study revealed a significant correlation between skin mechanical properties and recorded skin acceleration levels. Specifically, increased skin stiffness was associated with higher skin acceleration amplitudes during phonation (r = 0.72, p < 0.001). Furthermore, skin thickness showed a moderate inverse correlation with acceleration levels (r = -0.45, p = 0.012), suggesting thicker skin might dampen surface vibrations. These findings indicate that variations in anterior cervical skin mechanics can introduce substantial variability into accelerometer-based voice assessments, potentially leading to misinterpretations of vocal function. The most critical finding was that participants with lower skin elasticity exhibited a 25% to 30% increase in peak skin acceleration levels compared to those with higher elasticity, particularly at higher fundamental frequencies.

Why It Matters

This research highlights a critical factor influencing the reliability of neck-surface accelerometer data in voice assessment. Understanding this relationship is crucial for developing more accurate and personalized diagnostic tools for voice disorders. It suggests that future clinical applications of accelerometry for dysphonia or vocal fatigue could benefit from incorporating individual skin mechanical properties into data interpretation algorithms. Next steps should involve validating these findings in diverse populations, including individuals with voice disorders, and developing calibration methods to account for skin variability.


mk-677
Source: pubmed:34011459 · Ingested 2026-04-03 · Digest: gemini-2.5-flash