Unique ID issued by UMIN | UMIN000023764 |
---|---|
Receipt number | R000027146 |
Scientific Title | 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 |
Date of disclosure of the study information | 2016/08/25 |
Last modified on | 2022/08/30 10:06:00 |
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
Development of objective measures for depression, bipolar disorder and dementia by quantifying facial expression, body movement, voice, and daily activity
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
Development of objective measures for depression, bipolar disorder and dementia by quantifying facial expression, body movement, voice, and daily activity
Japan |
1. Patients with depressive disorder or bipolar disorder
2. Patients with dementia, mild cognitive impairment, or subjective cognitive impairment
3. Healthy volunteers
Psychiatry | Adult |
Others
NO
To develop machine learning algorithm to provide objective measures for depression, bipolar disorder and dementia utilizing facial expression, body movement, voice, and daily activity data.
Safety
Exploratory
Pragmatic
Not applicable
Comprehensive severity score based on facial expression, body movement, voice, and daily activity data produced by machine learning
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
Interventional
Single arm
Non-randomized
Open -no one is blinded
Uncontrolled
1
Diagnosis
Other |
1)Collect demographical/clinical characteristics from chart, participant and treating physician
2)Video/infrared/voice recording during a 10-minute conversation with psychiatrist and/or psychologist. Total number of recordings will be up to 10 times during the study period. Recording will be done during the doctor visit and the interval of the recording will not be fixed
3)Clinical severity assessment using rating scales as follows.
Hamilton Rating Scale for Depression (HAM-D): 20 minutes*
Montgomery Asberg Depression Rating Scale (MADRS): 10 minutes*
Young mania rating scale (YMRS): 10 minutes*
Beck depression inventory (BDI): 3 minutes*
Pittsburgh sleep quality index (PSQI): 2 minutes*
Clinical Dementia Rating(CDR): 15 minutes**
Mini-mental Scale Examination (MMSE): 15 minutes**
Wechsler Memory Scale-Logical Memory Subtest: 5 minutes**
Clock drawing test (CDT): 3 minutes**
Neuropsychiatric Inventory (NPI): 10 minutes**
Geriatric Depression Scale (GDS): 5 minutes**
(*Applied to patients with depression and bipolar disorder. **Applied to patients with dementia, mild cognitive impairment, or subjective cognitive impairment. All rating scales including * and ** will be applied to healthy volunteers)
4)To those who are willing to consent to the optional part: Wear wrist band type sensor to collect daily activity data until the next assessment.
5)except healthy volunteers are diagnosed using Structured Clinical Interview for DSM-IV-TR (SCID) any time during the follow up.
20 | years-old | <= |
Not applicable |
Male and Female
Inclusion criteria:
As patients
(1)
a) Out/in-patients at study sites diagnosed as depressive disorder or bipolar disorder
b) Out/in-patients at study sites diagnosed as dementia, mild cognitive impairment, or subjective cognitive impairment
(2) 20 years old or older
(3) Decisionally not impaired judged by treating physician. If judged as decisionally impaired, patients' guardians can give consent
As healthy volunteers
(1) Healthy volunteers who are offered participation to the study through web site.
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.
500
1st name | Kishimoto |
Middle name | |
Last name | Taishiro |
Keio University School of Medicine
Hills Joint Research Laboratory for Future Preventive Medicine and Wellnes
106-0032
Roppongi Hills North Tower 7F, 6-2-31 Roppongi, minato-ku, Tokyo, Japan
03-5786-0006
tkishimoto@keio.jp
1st name | Momoko |
Middle name | |
Last name | Kitazawa |
Keio University School of Medicine
Department of Neuropsychiatry PROMPT office
160-8582
35 Shinanomachi, Shinjuku-ku, Tokyo, JAPAN
03-5363-3492
https://www.i2lab.info/prompt
m.kitazawa@keio.jp
Keio University School of Medicine
Japan Agency for Medical Research and Development (AMED)
Japanese Governmental office
Japan
Keio University Science and Technology
Oizumi hospital
Oizumi mental clinic
Asakadai mental clinic
Tsurugaoka garden hospital
Nagatsuta ikoinomori clinic
Sato hospital
Biwako hospital
Komagino hospital
Asaka hospital
Tokyo Institute of Technology
The Clinical and Translational Research Center
35 Shinanomachi, Shinjuku-ku, Tokyo, JAPAN
0353633961
med-rinri-jimu@adst.keio.ac.jp
NO
慶應義塾大学病院(東京都)
大泉病院(東京都)
大泉メンタルクリニック(東京都)
あさか台メンタルクリニック(埼玉県)
鶴が丘ガーデンホスピタル(東京都)
長津田いこいの森診療所(神奈川県)
佐藤病院(山形県)
琵琶湖病院(滋賀県)
駒木野病院(東京都)
あさかホスピタル(福島県)
東京工業大学情報理工学院(東京都)
2016 | Year | 08 | Month | 25 | Day |
Unpublished
No longer recruiting
2016 | Year | 08 | Month | 25 | Day |
2016 | Year | 09 | Month | 06 | Day |
2016 | Year | 09 | Month | 01 | Day |
2026 | Year | 03 | Month | 31 | Day |
2016 | Year | 08 | Month | 25 | Day |
2022 | Year | 08 | Month | 30 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000027146