Content-free Speech Analysis for Measurement of Mental Health
NCT ID: NCT03700008
Last Updated: 2021-08-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
210 participants
INTERVENTIONAL
2018-10-15
2020-12-30
Brief Summary
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Detailed Description
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The speech measuring instruments is the "VoiceSense" digital voice analysis tool, which enables the analysis of 200 specific speech parameters and the assessment of the findings through the use of psychometric instruments and questionnaires.
The hypothesis is that the data of the voicesense analysis tool compared to the psychological instruments provide a good match and the voicesense technique can be used as a predictive and course-description tool in mental illness.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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Participants with mental illness
Participant with pre known or actually diagnosed mental disorder, especially affective or neurodevelopmental disorder.
Using the speech analysis tool with 120 seconds of free speech, measure the mental state with SCL-90, PRIME-MD, B5T, ADHD-VAS as conventional psychological measurements.
Speech analysis tool
Using the speech analysis tool with recording 120 seconds of free speech and analysis of 200 content-free parameters of the speech including factor analytic process to compress the data to 5-10 core parameters.
Conventional psychological measurements
Using well known and validated psychological measurements to identify the mental state of the participants.
Participants without any mental illness
Participant with never diagnosed mental disorder, in a healthy mental state. Using the speech analysis tool with 120 seconds of free speech, measure the mental state with SCL-90, PRIME-MD, B5T, ADHD-VAS as conventional psychological measurements.
Speech analysis tool
Using the speech analysis tool with recording 120 seconds of free speech and analysis of 200 content-free parameters of the speech including factor analytic process to compress the data to 5-10 core parameters.
Conventional psychological measurements
Using well known and validated psychological measurements to identify the mental state of the participants.
Interventions
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Speech analysis tool
Using the speech analysis tool with recording 120 seconds of free speech and analysis of 200 content-free parameters of the speech including factor analytic process to compress the data to 5-10 core parameters.
Conventional psychological measurements
Using well known and validated psychological measurements to identify the mental state of the participants.
Eligibility Criteria
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Inclusion Criteria
* being voluntary participant without mental disorder (control group)
* native german language speakers
* in good general health (absence of cancer, acute myocardial infarction, unstable angina, severe cardiac arrhythmia, recent cerebrovascular incident, or severe atherosclerosis)
Exclusion Criteria
* dementia
* pregnancy or breastfeeding
* current or recent (less than 1 year) history of alcohol and/or drug abuse
* current or recent (less than 1 year) history of suicide attempts
* other significant comorbidities according to the Investigator's clinical assessment (for example, cancer, acute myocardial infarction, unstable angina, severe cardiac arrhythmia, recent cerebrovascular incident, or severe atherosclerosis.
18 Years
65 Years
ALL
Yes
Sponsors
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VoiceSense Ltd. Herzelba, Israel
UNKNOWN
Neuropsychiatrischen Zentrums Hamburg-Altona
OTHER
Responsible Party
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Principal Investigators
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Peter Tonn, MD
Role: PRINCIPAL_INVESTIGATOR
Director
Locations
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Neuropsychiatric Center of Hamburg
Hamburg, , Germany
Countries
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References
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Tonn P, Seule L, Degani Y, Herzinger S, Klein A, Schulze N. Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study. JMIR Form Res. 2022 Aug 30;6(8):e37061. doi: 10.2196/37061.
Tonn P, Degani Y, Hershko S, Klein A, Seule L, Schulze N. Development of a Digital Content-Free Speech Analysis Tool for the Measurement of Mental Health and Follow-Up for Mental Disorders: Protocol for a Case-Control Study. JMIR Res Protoc. 2020 May 14;9(5):e13852. doi: 10.2196/13852.
Other Identifiers
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TONN_2018_01
Identifier Type: -
Identifier Source: org_study_id
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