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A study to collect voice samples of patients and healthy individuals having similar age.

Not Applicable
Completed
Conditions
Health Condition 1: null- Depression, Asthma, Parkinson’s disease, Alzheimer’s disease, CongestiveHeart Failure, Pregnancy and Maternal Health, and any other disease condition
and age matched healthy people
Registration Number
CTRI/2018/05/013615
Lead Sponsor
Gs Lab
Brief Summary

Not available

Detailed Description

Not available

Recruitment & Eligibility

Status
Completed
Sex
Not specified
Target Recruitment
0
Inclusion Criteria

1.All individuals over 18 years of age

2. Equal numbers of male (3,000) (subject to extension)and female (3,000)(subject to extension) participants

3. Willing and consenting participants

4. Potential participant should be able to read

Exclusion Criteria

1.People having speech disorder, deafness, blindness or color-blindness

2. People speaking language other than Local, Hindi or English

Study & Design

Study Type
Observational
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
To examine linguistic and non-linguistic vocal characteristics in diseased and general population <br/ ><br>??To assess the feasibility of collecting large-scale, data-rich samples of voice and sound and of extracting linguistic and non-linguistic information from speech and sound samples recorded over a mobile device, <br/ ><br>??To determine the feasibility of using extracted information to predict demographic (eg. age, gender) and health measures. <br/ ><br>Timepoint: As it is a survey, voice samples will be collected from the patients on mobile base app, only once, i.e. at the time of enrollment. <br/ ><br>After that collected data will be analysed after completion of the study.
Secondary Outcome Measures
NameTimeMethod
??To assess the feasibility of collecting large-scale, data-rich samples of voice and sound and of extracting linguistic and non-linguistic information from speech and sound samples recorded over a mobile device, <br/ ><br>??To determine the feasibility of using extracted information to predict demographic (eg. age, gender) and health measures.Timepoint: As it is a survey, voice samples will be collected from the patients on mobile base app, only once, i.e. at the time of enrollment. <br/ ><br>After that collected data will be analysed after completion of the study.
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