{"title":"Low-frequency oscillation evaluation modeling of functional brain activity potential","authors":"Yaoxian Li, Xin Dong, Qiushi Li, Ting Li","doi":"10.1109/INEC.2016.7589462","DOIUrl":null,"url":null,"abstract":"The low-frequency oscillation (LFO) has been observed a positive or negative pike around 0.1 Hz, which is related to the specified brain function activities. Functional near-infrared spectroscopy (fNIRS) was used to simultaneously and noninvasively detect LFOs of multiple cerebral hemodynamics parameters. Based on local Fourier transform (LFT), we extract the amplitude of deoxy-Hb concentration signal at 0.1 Hz in the frequency domain and found a phenomenon which is correlated to that accuracy/respond time (accuracy/ RT) was stable when the deoxy-Hb concentration is at low level in the middle. Afterwards, we propose two feasible applications after doing some research: monitoring the fatigue driving level and evaluating the brain activity potential of human. This study observed LFOs in brain activities and showed a strong potential of LFOs in exploring brain functions.","PeriodicalId":416565,"journal":{"name":"2016 IEEE International Nanoelectronics Conference (INEC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Nanoelectronics Conference (INEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INEC.2016.7589462","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
The low-frequency oscillation (LFO) has been observed a positive or negative pike around 0.1 Hz, which is related to the specified brain function activities. Functional near-infrared spectroscopy (fNIRS) was used to simultaneously and noninvasively detect LFOs of multiple cerebral hemodynamics parameters. Based on local Fourier transform (LFT), we extract the amplitude of deoxy-Hb concentration signal at 0.1 Hz in the frequency domain and found a phenomenon which is correlated to that accuracy/respond time (accuracy/ RT) was stable when the deoxy-Hb concentration is at low level in the middle. Afterwards, we propose two feasible applications after doing some research: monitoring the fatigue driving level and evaluating the brain activity potential of human. This study observed LFOs in brain activities and showed a strong potential of LFOs in exploring brain functions.