CAJ | 학술논문

文中的研究目的是针对当前医疗监护系统不能个性化地反映监护对象身体状况变化等问题,提出一种个性化家庭远程医疗监护系统,对不同年龄、性别、体质的监护对象建立因人而异的监护报警模型.文中的研究方法为通过实时采集人体的体温、心率、血压和血氧饱和度等生理数据,利用支持向量机建立监护对象的生理模型进行诊断.结果显示该模型准确地反映监护对象的身体状况,自动识别出因为传感器误差和监护对象移动所产生的错误报警,同时准确判断出由于生理异常而产生的报警,提高医疗监护系统的诊断效率和准确性.
문중적연구목적시침대당전의료감호계통불능개성화지반영감호대상신체상황변화등문제,제출일충개성화가정원정의료감호계통,대불동년령、성별、체질적감호대상건립인인이이적감호보경모형.문중적연구방법위통과실시채집인체적체온、심솔、혈압화혈양포화도등생리수거,이용지지향량궤건립감호대상적생리모형진행진단.결과현시해모형준학지반영감호대상적신체상황,자동식별출인위전감기오차화감호대상이동소산생적착오보경,동시준학판단출유우생리이상이산생적보경,제고의료감호계통적진단효솔화준학성.
The purpose is for the current health care system can not reflect the change of care object’s physical condition,present a per-sonalized family remote monitoring system,which can build individual alarm model by people’s age,gender and physique. The research method utilizes support vector machine to build object’ s physical model through real-time acquisition of people’ s temperature,heart rate,blood pressure and blood oxygen saturation. The results show that the model can reflect object’s physical condition correctly and au-tomatically identify those false alarms generated by the sensor error and the moving of objects and accurately determine the physiological abnormalities alarm,which improves efficiency and accuracy of diagnosis for the system.