A Personalized Voice Restoration Device for Patients With Laryngectomy
Study Details
Study Description
Brief 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.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Detailed Description
This is a prospective pilot study evaluating the feasibility of a personalized voice restoration device and patients' experience with it. Study participation will include a one-time visit where subjects will read passages and phrases. Acoustic and signal data will be captured. Machine learning will be applied to the data to classify words. Subjects will also participate in a qualitative interview about their experience with voice restoration devices.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: Patients with Aphonia or Dysphonia Participants with Aphonia or Dysphonia will be asked to recite phrases with sEMG attached to articulatory muscles. |
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.
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Placebo Comparator: Healthy Volunteers Healthy Volunteer will be asked to recite phrases with sEMG attached to articulatory muscles. |
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.
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Outcome Measures
Primary Outcome Measures
- Percentage of Words and Numbers Correctly Identified ["During Procedure/use of Surface ElectroMyoGraphy"]
Accuracy of sEMG signal will be determined by subjects reciting common phrases. Subjects will recite the "Rainbow Passage" 10 times. Subjects will be asked to count from 1-10 once. Subjects will recite the alphabet once.
- Subject experience with voice restoration devices: Qualitative [10 minutes after the time of intervention]
Subject will be asked to complete a semi-structured interview about their experience with voice restoration devices. Categories of response include voice/communication history, experience with previous voice restoration devices, experience with our device, and suggestions for improvement.
Eligibility Criteria
Criteria
Inclusion Criteria:
Group A: Healthy Volunteers
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Adult subjects, 18 or older
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Without any voice impairments
Group B: Subjects with Aphonia or Dypshonia
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Adult subjects, 18 or older
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Documentation of severe dysphonia and/or aphonia, or a GRBAS score > 0 (GRBAS is a scale that can be used to assess voice quality of subjects who do not have a recorded history of dysphonia or aphonia. The GRBAS scale evaluates for grade, roughness, breathiness, asthenia, and strain).
Exclusion Criteria:
- Group A: Healthy Volunteers
- Voice impairment
Group B: Subjects with Aphonia or Dypshonia
- Subjects whose face muscles are entirely paralyzed
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Weill Cornell Medicine | New York | New York | United States | 10021 |
Sponsors and Collaborators
- Weill Medical College of Cornell University
Investigators
- Principal Investigator: Anais Rameau, M.D, Weill Medical College of Cornell University
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 22-03024627-01