Accelowave Technologies develops non‑invasive, sensor‑driven medical devices that use AI to make swallowing health visible for clinicians. Their platform detects early signs of swallowing disorders—such as aspiration—by converting hidden risks into measurable data, enabling earlier intervention and personalized therapy across the care continuum. The solution is designed for easy use in clinical settings, helping improve patient safety, nutrition, and overall outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Swallowing disorders affect millions of individuals, often going undetected until complications such as aspiration cause hospitalizations, malnutrition, and reduced quality of life.
Solution
Accelowave Technologies creates non‑invasive, sensor‑based medical devices that capture physiological signals during swallowing and apply artificial‑intelligence algorithms to identify abnormal patterns in real time. The system converts previously hidden risks into quantifiable metrics that clinicians can view instantly, enabling earlier intervention and personalized therapy adjustments. By delivering objective data at the point of care, the platform supports safer eating and drinking across acute, rehabilitation, and long‑term care settings, aiming to improve patient outcomes and reduce preventable complications.
Target Audience
Primary users are speech‑language pathologists, gastroenterologists, and clinicians in hospitals, rehabilitation centers, and long‑term care facilities who assess and treat patients with dysphagia.
Features
- Wearable, disposable sensor array that records acoustic and vibratory signals without disrupting normal swallowing
- Deep‑learning models trained on large clinical datasets to detect aspiration risk and dysphagia severity with high sensitivity
- Real‑time analytics dashboard that presents actionable scores, trend graphs, and alerts for clinicians
- Cloud‑enabled data storage compliant with healthcare privacy standards, allowing longitudinal tracking and remote specialist review
- Easy integration with existing electronic health record workflows via standard APIs