Health Condition 1: F39- Unspecified mood [affective] disorder
Conditions
Sponsors
ICMR
Eligibility
Inclusion criteria
Inclusion criteria: College students & Post-partum mothers who fulfill the following criteria: Inclusion criteria: 1. Age 18 â?? 45 years 2. Gender as stated 3. Able to read, speak and comprehend English and/or Kannada
Exclusion criteria
Exclusion criteria: 1. Visual or hearing impairment 2. Voice-related disorders, neurological impairment or extrapyramidal symptoms - e.g. vocal tremors 3. Respiratory ailments such as chronic obstructive pulmonary disease (COPD).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1. To generate high-quality, clinically labelled voice datasets using state-of-art technologies & algorithms 2. To develop machine-learning (ML) algorithms based on voice features for detection of psychological distress among college students and post-partum depression. Timepoint: There will be a single time of point assessment at the 24 months when the model will be generated | — |
Secondary
| Measure | Time frame |
|---|---|
| a) To evaluate the usefulness of voice based ML algorithms for categorising the severity of psychological distress & post-partum depression. The sampling design is convenience sampling. It is estimated that voice data of 400 subjects each have to collected. Timepoint: 2 years | — |
Countries
India
Contacts
Public ContactDr Jaisoorya
National Institute of Mental Health and Neurosciences
Outcome results
None listed