{"title":"A study on Recognition of Inpatient Room Acoustic Pattern for Hospital safety","authors":"H. Ryu, Jong-Young Ahn","doi":"10.7236/JIIBC.2021.21.3.169","DOIUrl":null,"url":null,"abstract":"Currently, safety accidents in hospitals are steadily occurring. In particular, safety accidents of elderly patients with weak immunity, such as nursing hospitals, continue to occur, and countermeasures are needed. Most accidents are caused by patient movement. As a method of reducing safety accidents by analyzing and recognizing the sound of the inpatient room according to the movement of the patient, this paper classifies the sound pattern for sound recognition in the hospital inpatient room using DTW (Dynamic Time Warping), an algorithm applicable to time-series pattern recognition. It was analyzed by applying it to the inpatient room environment.","PeriodicalId":22795,"journal":{"name":"The Journal of the Institute of Webcasting, Internet and Telecommunication","volume":"34 1","pages":"169-173"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of the Institute of Webcasting, Internet and Telecommunication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7236/JIIBC.2021.21.3.169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Currently, safety accidents in hospitals are steadily occurring. In particular, safety accidents of elderly patients with weak immunity, such as nursing hospitals, continue to occur, and countermeasures are needed. Most accidents are caused by patient movement. As a method of reducing safety accidents by analyzing and recognizing the sound of the inpatient room according to the movement of the patient, this paper classifies the sound pattern for sound recognition in the hospital inpatient room using DTW (Dynamic Time Warping), an algorithm applicable to time-series pattern recognition. It was analyzed by applying it to the inpatient room environment.
目前，医院安全事故不断发生。特别是护理医院等免疫力较弱的老年患者的安全事故不断发生，需要采取对策。大多数事故都是由病人的动作引起的。本文采用一种适用于时间序列模式识别的DTW (Dynamic Time Warping)算法，对医院住院室的声音模式进行分类进行声音识别，从而根据患者的运动情况对住院室的声音进行分析识别，减少安全事故的发生。并将其应用到住院室环境中进行分析。
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