A Personalized Voice Restoration Device for Patients With Laryngectomy
NCT05479643 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100
Last updated 2025-12-18
Summary
The investigators will conduct a pilot experiment for a novel and personalized method for voice restoration using machine learning applied to surface EMG (sEMG) signal from articulatory muscles of the face and the neck allowing recognition of silent speech. The investigators predict that the use novel personalized method for voice restoration will be feasible and successful for patients.
Conditions
- Dysphonia
- Aphonia
Interventions
- DEVICE
-
Surface Electromyography
Surface ElectroMyoGraphy (SEMG) is a non-invasive technique for measuring muscle electrical activity that occurs during muscle contraction and relaxation cycles. Electrodes will be attached with a AgCl gel to muscles used for articulation.
Sponsors & Collaborators
-
Weill Medical College of Cornell University
lead OTHER
Principal Investigators
-
Anaïs Rameau, MD · Weill Medical College of Cornell University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SUPPORTIVE_CARE
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 110 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2027-12-01
- Primary Completion
- 2029-12-01
- Completion
- 2031-12-31
- FDA Device
- Yes
Countries
- United States
Study Locations
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