Dysphonia, Aphonia
Conditions
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.
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.
Interventions
DEVICESurface 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
Weill Medical College of Cornell University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
DOUBLE (Subject, Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
18 Years to 110 Years
Healthy volunteers
Yes
Inclusion criteria
Group A: Healthy Volunteers 1. Adult subjects, 18 or older 2. Without any voice impairments Group B: Subjects with Aphonia or Dysphonia 1. Adult subjects, 18 or older 2. 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 1\. Voice impairment Group B: Subjects with Aphonia or Dysphonia 1\. Subjects whose face muscles are entirely paralyzed
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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. |
| 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. |
Countries
United States
Contacts
Primary ContactAnaïs Rameau, MD
Outcome results
None listed