運用倒傳遞類神經方法之病患離床模式與感測系統之設計與實作

Off-Bed Model and Sensing Detection System for Human Body Using the Back-Propagation Neural Network Algorithm: Design and Implementation

昌妙韓(Miao-Han Chang)

指導教授 ： 龔旭陽

國立屏東科技大學/管理學院/資訊管理系所/碩士(2014年)

https://doi.org/10.6346/NPUST.2014.00057

摘要

近年來隨著少子化、高齡化議題討論的增加，健康照護的議題也隨之增長。老人意外傷害除交通事故外，跌倒是老人意外傷害第二名。住院病患中，有大約30%的人會在醫院內發生跌倒。加上最近所爆發的護士出走潮，在在顯示出了照護人員所需承受的責任與壓力。為協助照護人員照護長者，本論文提出運用倒傳遞類神經方法之病患離床模式與感測系統，應用手持式設備HTC Desire及HTC Hero手機平臺中之三軸加速規感測器感測人體目前姿態角，並針對離床時的動作將離床模式建構出，接著導入倒傳遞類神經網路方法，結合類神經網路以及三軸加速度感測器的特性，以達到人體離床姿態偵測的目的。

關鍵字

離床感知 ； 倒傳遞類神經演算法 ； 三軸加速規 ； 感知與偵測系統

並列摘要

As the populace of elderly is growing quickly, the healthcare system based the state-of-the-art ICT technology is more and more important. According to the statistics of Department of Health Executive Yuan, falling-down accident is the second place of elder accident injury. In addition, there are 30% people, who will fall down in the hospital. Most falls occur at the time points of out off the bed and get on the bed in the hospital. At before, although the hospital provided the emergent bell beside the bed for emergency calls, there are few patients using the emergent bell for the off-bed situation. There is no one thought he will fall before the falls occur. Most of elders consider they can leave bed in safe by themselves. To solve the falling accidents, this project will design the smart sensing and detection system based on the triaxial accelerometer and Back-propagation neural network algorithm to detect abnormal body movement and achieve the smart action awareness. The proposed system not only correctly detects the actions of off-bed and falls, the system but also precisely detects falls before falling. Furthermore, since many elder patients, who have the high risk of fall, are getting out of bed three to five steps then fall occur. The proposed system can detect the actions of the elder patient leaving the bed, and then the system sends the alarm messages to the nursing stations and the duty nurses, who can help the elders leave the bed and to prevent the accident injury. This research project firstly proposed the formal models of off-bed. The proposed detection system used the triaxial accelerations and Back-propagation neural network algorithm to improve the accuracy of action detection. The final purpose of this project is to assist the medical professionals and people to help the elders and help the elders prevent from falling.

並列關鍵字

Triaxial Accelerometer ； Off-bed Awareness ； Back-Propagation Neural Network ； Awareness and Detection System

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