Development of objective measures for depression, bipolar disorder and dementia by quantifying facial expression, body movement, and voice data during clinical interview and daily activity utilizing wearable device
Not Applicable
- Conditions
- 1. Patients with depressive disorder or bipolar disorder 2. Patients with dementia, mild cognitive impairment, or subjective cognitive impairment 3. Healthy volunteers
- Registration Number
- JPRN-UMIN000023764
- Lead Sponsor
- Keio University School of Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 500
Inclusion Criteria
Not provided
Exclusion Criteria
Exclusion Criteria: As patients (1) Patients whose illness can be exacerbated by interview of the study. (2) Patients who have comorbidities that can interfere with measurements in the study; such as patients with facial palsy or involuntary movement, patients with quadriplegic palsy or involuntary motion, patients with dysphonia by laryngectomy. (3) Those who are considered to be ineligible by the PI or investigators.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Comprehensive severity score based on facial expression, body movement, voice, and daily activity data produced by machine learning
- Secondary Outcome Measures
Name Time Method 1)Machine learning-severity score based on facial expression data 2)Machine learning-severity score based on body movement data 3)Machine learning-severity score based on voice data (mainly using the acoustic features) 4)Machine learning-severity score based on voice data (mainly using the features such as speed of speech, time to reply) 5)Machine learning-severity score based on text data 6)Machine learning-severity score based on daily activity data