設計與實作居家照護行為模式監測系統

Design and Implementation Behavior Pattern Monitoring System for Home-care

鄭元欽(Yuan-Chin Cheng)

指導教授 ： 朱鴻棋

朝陽科技大學/資訊學院/資訊與通訊系碩士班/碩士(2011年)

摘要

為保持憂鬱症患者正常的生活與行為模式，居家自我照護為可行的方式之一。然而要如何偵測患者的憂鬱症傾向及發病癥狀，以提供預防憂鬱症復發及早期治療之功效則為重要的議題。因此，本研究提出居家照護行為模式監測系統，此系統針對憂鬱症患者在非住院治療時的居家照護模式。系統中利用智慧型手機內建的重力感應器來擷取患者的行為資訊，透過動作識別演算法來識別患者行為模式，並提供查詢系統以及移動路線追蹤功能給患者或親屬使用，以期在未來與醫療資訊系統之整合後能協助病患自我診斷與自我照護。

關鍵字

動作識別 ； 加速規 ； 重力感應器

並列摘要

In order to maintain the normal life of patients with depression, the home self-care is one possible way. However, how to detect the depression prone and depressive disorder to provide prevention of depression recurrence and early treatment of depression is an important issue. Therefore, this study proposed behavior pattern monitoring system for home self-care, the system for non-hospitalized patients in the treatment of depression when the home care model. The System using smart phones built-in gravity sensor to retrieve information about the patient''s behavior, and movement recognition algorithms to identify patients with patterns of behavior, and provide query system and tracking feature use to patients or relatives. With a view to the future with integrated medical information system to assist patients self-diagnose and self-care.

並列關鍵字

Accelerometer ； Motion recognition ； G-sensor

參考文獻

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