Page 56 - 健康與建築Vol.4 No.2

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47 Method and Algorithms to Improve Depression Care Using Wearable Device
究
論

文
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Method and Algorithms to Improve Depression

Care Using Wearable Device

Chen, Li-Yang* Chen, Brian Tsong-Hour2

1Research Fellow, Boston University / M.J. New England

2President of Building Environment and Health Promotion Association, Taiwan-China

Abstract

Background: Depression leads to heavy cost within many developed countries. We introduce such a

procedure to collect objective biometrics data and detect depression in a real-time manner.

Purpose: This research aims to aid doctors increasing the accuracy of depression diagnosis while improving

care outcomes and shorten the duration of treatment.

Methods: We apply wearable devices to collect objective biometrics from patients and synchronize to a

cloud-based database. Several algorithms are utilized to perform depression detection, supporting self-care

method among patients and notify medical professions in severe cases. The analytics of the data is further
utilized by medical professions to support the medical decision.

Results: Comparing to traditional 4-9 months of treatment, our procedure was proven to improve
depression care outcome signi cantly starting at 4th week while physicians, nurses, and patients all provide

positive feedback to the questionnaire.

Conclusion/ Implication for Practice: This research successfully lowers the side effect of depression drugs

by 3 months while improving the relationship between caregivers and patients. If implemented in the future,

will increase ef ciency to depression care and reduce inef cient waste.

Keywords: Major Depression Disorder,Wearable devices,Depression assessment,Suicide prevention.

健
康
Accepted for publication: February 1 , 2017 與
Corresponding author : Chen, Li-Yang
建
築
Address : 143 Bay State Road MA Boston,USA, 02215 雜
誌
Tel : +1 (617) 938-7738

E-mail : leonchen417@gmail.com
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