- 學位論文
穿戴式裝置輔助之醫病管理平台：以憂鬱症為例
A Wearable Device Assisted Doctor-Patient Management Platform for Patients with Depression
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摘要
根據世界衛生組織(World Health Organization, WHO)統計，全世界約有3.5億以上的人們患有憂鬱症，雖然各地皆有醫院門診、心理諮商及自殺防治中心，藉由定期門診、問卷量表及調查等來協助憂鬱症病患，並針對高自殺風險的病患進行持續追蹤及關懷訪視，然而目前的防治仍無太大效果。對於精神科醫師或諮商師而言，除了傳統問診外，要確診憂鬱症多以病患自填之情緒量表加以分析及追蹤，不僅無法提供客觀數據反應長期情況，更因為病患隱瞞病情而失去準確度。隨著科技及智慧醫療的發展，穿戴式裝置之應用也更加普及，本篇論文將提出結合穿戴式裝置輔助的醫病管理平台，能夠透過感測器協助蒐集憂鬱症患者的行為資訊，提供客觀數據補足問卷填表的缺點，推斷患者心情狀況以及生活型態，以此輔助醫生及諮商師於憂鬱症的診斷。
並列摘要
According to the statistics revealed by World Health Organization (WHO), it is estimated that there are above 350 million people suffered from depression globally. Although there are tons of hospital outpatient/inpatient service, counseling service and suicide prevention centers, which provide regular appointment, use depression screening questionnaire to help patients recover or even pay a close attention to those who are under high risk of suicide, the result of suicide prevention is not satisfactory. For psychiatrist and counselor, apart from regular inquiry, self-report depression screening questionnaire is the main approach to assist in depression tracking, analysis and diagnosis. It’s flawed to provide objective data for long term condition tracking and the accuracy would be even biased by patient’s concealment. With the technology and ubiquitous healthcare development, wearable device based medical application becomes popular. This paper aims at proposing a wearable device assisted doctor-patient management platform, which is able to collect behavioral data from patients through mobile sensors. It could complement the drawbacks of self-report questionnaire by further processing the collected data with an algorithm and providing the results to psychiatrist and counselor in assisting depression diagnosis.
參考文獻
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