Gihyoun Lee, S. Jin, Seong Tae Yang, J. An, B. Abibullaev
{"title":"HbO和HbR的互相关是近红外信号中运动伪影的有效特征","authors":"Gihyoun Lee, S. Jin, Seong Tae Yang, J. An, B. Abibullaev","doi":"10.1109/IWW-BCI.2018.8311513","DOIUrl":null,"url":null,"abstract":"The general linear model (GLM) as a standard model for fMRI analysis has been applied to fNIRS imaging analysis as well. The GLM is very likely to make false predictions for motion artifact in fNIRS signals. The temporal characteristics of normal cerebral hemodynamics are basically the opposite tendency of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR). When motion artifact occurs, HbO and HbR are completely different from normal cases as the baseline changes. This paper presents a cross-correlation between HbO and HbR as a feature that can determine the dynamic noise of fNIRS. Since cross-correlation is a deterministic tool that is easy to calculate, it will be very useful for noise elimination if it is noted as a criterion of dynamic noise in fNIRS signals.","PeriodicalId":6537,"journal":{"name":"2018 6th International Conference on Brain-Computer Interface (BCI)","volume":"23 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal\",\"authors\":\"Gihyoun Lee, S. Jin, Seong Tae Yang, J. An, B. Abibullaev\",\"doi\":\"10.1109/IWW-BCI.2018.8311513\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The general linear model (GLM) as a standard model for fMRI analysis has been applied to fNIRS imaging analysis as well. The GLM is very likely to make false predictions for motion artifact in fNIRS signals. The temporal characteristics of normal cerebral hemodynamics are basically the opposite tendency of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR). When motion artifact occurs, HbO and HbR are completely different from normal cases as the baseline changes. This paper presents a cross-correlation between HbO and HbR as a feature that can determine the dynamic noise of fNIRS. Since cross-correlation is a deterministic tool that is easy to calculate, it will be very useful for noise elimination if it is noted as a criterion of dynamic noise in fNIRS signals.\",\"PeriodicalId\":6537,\"journal\":{\"name\":\"2018 6th International Conference on Brain-Computer Interface (BCI)\",\"volume\":\"23 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 6th International Conference on Brain-Computer Interface (BCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWW-BCI.2018.8311513\",\"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 6th International Conference on Brain-Computer Interface (BCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWW-BCI.2018.8311513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal
The general linear model (GLM) as a standard model for fMRI analysis has been applied to fNIRS imaging analysis as well. The GLM is very likely to make false predictions for motion artifact in fNIRS signals. The temporal characteristics of normal cerebral hemodynamics are basically the opposite tendency of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR). When motion artifact occurs, HbO and HbR are completely different from normal cases as the baseline changes. This paper presents a cross-correlation between HbO and HbR as a feature that can determine the dynamic noise of fNIRS. Since cross-correlation is a deterministic tool that is easy to calculate, it will be very useful for noise elimination if it is noted as a criterion of dynamic noise in fNIRS signals.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
