{"title":"基于深度卷积神经网络的人体卧角可视化","authors":"Mingwei Zhong, Xingshang Wang, Fangyan Dong, Kewei Chen, Yongfei Feng","doi":"10.1109/CCPQT56151.2022.00022","DOIUrl":null,"url":null,"abstract":"The traditional nursing process usually consists of five steps: nursing assessment, nursing diagnosis, nursing planning, nursing implementation and nursing evaluation. With an ageing population[1], the transfer of bedridden patients during care delivery has become a major issue in-","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visualization of Human Lying Angle Based on Deep Convolutional Neural Network\",\"authors\":\"Mingwei Zhong, Xingshang Wang, Fangyan Dong, Kewei Chen, Yongfei Feng\",\"doi\":\"10.1109/CCPQT56151.2022.00022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional nursing process usually consists of five steps: nursing assessment, nursing diagnosis, nursing planning, nursing implementation and nursing evaluation. With an ageing population[1], the transfer of bedridden patients during care delivery has become a major issue in-\",\"PeriodicalId\":235893,\"journal\":{\"name\":\"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCPQT56151.2022.00022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCPQT56151.2022.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualization of Human Lying Angle Based on Deep Convolutional Neural Network
The traditional nursing process usually consists of five steps: nursing assessment, nursing diagnosis, nursing planning, nursing implementation and nursing evaluation. With an ageing population[1], the transfer of bedridden patients during care delivery has become a major issue in-