{"title":"利用脉冲波进行自我认知","authors":"Yuyu Hu, M. Oyama-Higa, E. Miyoshi","doi":"10.1109/ICIME.2018.00049","DOIUrl":null,"url":null,"abstract":"In this research, we obtain various indicators by analyzing pulse waves, which are then used to self-cognize one's own psychological state and characteristics. Pulse wave measurement is simple and safe. What's more, we can get three indicators by analyzing the measured data: the largest Lyapunov exponent (LLE), autonomic nerve balance (ANB), and sample entropy (SampEn). Using these three indicators, we conducted research on a number of factors, including the discrimination of depression, the psychological state analysis of Alzheimer's disease, the effects of Parkinson's disease on indicators, and the change of mental state after long-term study. However, in order to utilize this technology more scientifically, we need to assemble a more complete database and make more systematic measurements.","PeriodicalId":285508,"journal":{"name":"2018 International Joint Conference on Information, Media and Engineering (ICIME)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Using Pulse Waves for Self-Cognition\",\"authors\":\"Yuyu Hu, M. Oyama-Higa, E. Miyoshi\",\"doi\":\"10.1109/ICIME.2018.00049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, we obtain various indicators by analyzing pulse waves, which are then used to self-cognize one's own psychological state and characteristics. Pulse wave measurement is simple and safe. What's more, we can get three indicators by analyzing the measured data: the largest Lyapunov exponent (LLE), autonomic nerve balance (ANB), and sample entropy (SampEn). Using these three indicators, we conducted research on a number of factors, including the discrimination of depression, the psychological state analysis of Alzheimer's disease, the effects of Parkinson's disease on indicators, and the change of mental state after long-term study. However, in order to utilize this technology more scientifically, we need to assemble a more complete database and make more systematic measurements.\",\"PeriodicalId\":285508,\"journal\":{\"name\":\"2018 International Joint Conference on Information, Media and Engineering (ICIME)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Joint Conference on Information, Media and Engineering (ICIME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIME.2018.00049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Joint Conference on Information, Media and Engineering (ICIME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIME.2018.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this research, we obtain various indicators by analyzing pulse waves, which are then used to self-cognize one's own psychological state and characteristics. Pulse wave measurement is simple and safe. What's more, we can get three indicators by analyzing the measured data: the largest Lyapunov exponent (LLE), autonomic nerve balance (ANB), and sample entropy (SampEn). Using these three indicators, we conducted research on a number of factors, including the discrimination of depression, the psychological state analysis of Alzheimer's disease, the effects of Parkinson's disease on indicators, and the change of mental state after long-term study. However, in order to utilize this technology more scientifically, we need to assemble a more complete database and make more systematic measurements.