運用穿戴式裝置提升憂鬱症治癒情況

Method and Algorithms to Improve Depression Care Using Wearable Device

陳立洋(Chen, Li-Yang) ； 陳宗鵠(Chen,Brian Tsong-Hour)

《健康與建築雜誌》 4卷2期 (2017/06) Pp. 42-47

https://doi.org/10.6299/JHA.2017.4.2.R4.42

摘要

背景：憂鬱症造成社會負擔嚴重，本研究運用穿戴式裝置蒐集各數據並提升且縮短治癒療程。目的：提升醫護人員對於憂鬱症診斷之速度，並藉由簡短療程來降低非必要憂鬱症用藥副作用。方法：智慧偵測手環搭配雲端平台服務，主要流程是手環蒐集生理數值於病人狀況以後，上傳至雲端進行演算法數據分析，再將分析結果以APP使用介面呈現給醫護人員，其中搭配遠離憂鬱回饋提醒，讓病人能夠自覺脫離痛苦，或是過於嚴重時直接通知心理諮商人員或醫護人員，而雲端數值分析結果也將提供給醫護人員，方便未來就醫診斷。結果：相較於傳統憂鬱症4-9個月療程，使用本研究之方法於4周開始顯著提升療效，並於醫生、護理師、病患等參與者皆獲得正面回饋。結論/實務應用：本研究探討智慧憂鬱感測方式可有效降低藥物副作用3個月，且提升醫病關係，未來應用於台灣、美國之憂鬱症臨床照護即可降低無效之資源浪費。

關鍵字

憂鬱症 ； 穿戴式裝置 ； 憂鬱症指標 ； 自殺防治

並列摘要

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 significantly 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 efficiency to depression care and reduce inefficient waste.

並列關鍵字

Major Depression Disorder ； Wearable devices ； Depression assessment ； Suicide prevention