Nestle

Last updated January 31, 2026

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Acoustic and bioimpedance pharyngeal sensors: NestleRecent Research Landscape

Artifact-prone sensor data leads to misclassification of dysphagia severity and patient risk. These methods implement automated signal validation to ensure input fidelity for diagnostic models.

What technical problems is Nestle addressing in Acoustic and bioimpedance pharyngeal sensors?

Aspiration risk from bolus fragmentation

(8)evidences

Uncontrolled flow of liquids during swallowing leads to airway entry and respiratory complications. Managing fluid velocity and cohesion prevents life-threatening choking incidents.

Undetected pharyngeal swallowing dysfunction

(1)evidences

Poor signal quality leads to inaccurate diagnostic outputs for dysphagia. Ensuring data integrity prevents false clinical assessments.