Matches in SemOpenAlex for { <https://semopenalex.org/work/W3090487645> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W3090487645 abstract "Near Infra-Red Spectroscopy (NIRS) is possible to measure brain activity signals with low invasive and low physical restraint, so it is also expected as a useful clinical tool in the fields of medicine and education. However, measurement and detection of weak signal of brain activities such as human intention and recall of memory, is very difficult because noise signals such as heartbeat, respiration, and body movement disturb the brain activity signal and data. In this study, we attempt to reduce the effect of the artifacts ingredient by the body movement from the data of NIRS using the Auto- Regressive (AR) model. From the experimental results, we confirmed that the peaks of FFT analysis of brain activity measurement data and ECG data were almost identical. Particularly, characteristic peaks around 0.5 Hz and 1.3 Hz were detected. The peak around 0.5 Hz was effected based on position change of the head inclining. The peak around 1.3 Hz was effected based on the periodical R wave in the ECG data. Also, AR model was estimated from AR coefficients by the above results. So, we could separate the component of artifacts based on heartbeats and separate the component of artifacts based on positioning change of the head inclining, from the brain activity signals. It means that using AR model from the brain activity measurement data by NIRS, we could reduce the effects of artifacts based on heartbeats and reduce the effects artifacts based on position change of the head inclining." @default.
- W3090487645 created "2020-10-08" @default.
- W3090487645 creator A5024530310 @default.
- W3090487645 creator A5031848640 @default.
- W3090487645 creator A5044709042 @default.
- W3090487645 creator A5047793340 @default.
- W3090487645 creator A5077846534 @default.
- W3090487645 creator A5088142177 @default.
- W3090487645 date "2020-01-01" @default.
- W3090487645 modified "2023-09-27" @default.
- W3090487645 title "Basic Study to Reduce the Artifact from Brain Activity Data with Auto-regressive Model" @default.
- W3090487645 cites W2171767672 @default.
- W3090487645 cites W2215460103 @default.
- W3090487645 doi "https://doi.org/10.1007/978-3-030-60128-7_20" @default.
- W3090487645 hasPublicationYear "2020" @default.
- W3090487645 type Work @default.
- W3090487645 sameAs 3090487645 @default.
- W3090487645 citedByCount "0" @default.
- W3090487645 crossrefType "book-chapter" @default.
- W3090487645 hasAuthorship W3090487645A5024530310 @default.
- W3090487645 hasAuthorship W3090487645A5031848640 @default.
- W3090487645 hasAuthorship W3090487645A5044709042 @default.
- W3090487645 hasAuthorship W3090487645A5047793340 @default.
- W3090487645 hasAuthorship W3090487645A5077846534 @default.
- W3090487645 hasAuthorship W3090487645A5088142177 @default.
- W3090487645 hasConcept C11413529 @default.
- W3090487645 hasConcept C115961682 @default.
- W3090487645 hasConcept C120843803 @default.
- W3090487645 hasConcept C13852961 @default.
- W3090487645 hasConcept C149782125 @default.
- W3090487645 hasConcept C153180895 @default.
- W3090487645 hasConcept C154945302 @default.
- W3090487645 hasConcept C15744967 @default.
- W3090487645 hasConcept C159877910 @default.
- W3090487645 hasConcept C169760540 @default.
- W3090487645 hasConcept C199360897 @default.
- W3090487645 hasConcept C2779010991 @default.
- W3090487645 hasConcept C2779843651 @default.
- W3090487645 hasConcept C28490314 @default.
- W3090487645 hasConcept C31972630 @default.
- W3090487645 hasConcept C33923547 @default.
- W3090487645 hasConcept C38652104 @default.
- W3090487645 hasConcept C41008148 @default.
- W3090487645 hasConcept C522805319 @default.
- W3090487645 hasConcept C75172450 @default.
- W3090487645 hasConcept C99498987 @default.
- W3090487645 hasConceptScore W3090487645C11413529 @default.
- W3090487645 hasConceptScore W3090487645C115961682 @default.
- W3090487645 hasConceptScore W3090487645C120843803 @default.
- W3090487645 hasConceptScore W3090487645C13852961 @default.
- W3090487645 hasConceptScore W3090487645C149782125 @default.
- W3090487645 hasConceptScore W3090487645C153180895 @default.
- W3090487645 hasConceptScore W3090487645C154945302 @default.
- W3090487645 hasConceptScore W3090487645C15744967 @default.
- W3090487645 hasConceptScore W3090487645C159877910 @default.
- W3090487645 hasConceptScore W3090487645C169760540 @default.
- W3090487645 hasConceptScore W3090487645C199360897 @default.
- W3090487645 hasConceptScore W3090487645C2779010991 @default.
- W3090487645 hasConceptScore W3090487645C2779843651 @default.
- W3090487645 hasConceptScore W3090487645C28490314 @default.
- W3090487645 hasConceptScore W3090487645C31972630 @default.
- W3090487645 hasConceptScore W3090487645C33923547 @default.
- W3090487645 hasConceptScore W3090487645C38652104 @default.
- W3090487645 hasConceptScore W3090487645C41008148 @default.
- W3090487645 hasConceptScore W3090487645C522805319 @default.
- W3090487645 hasConceptScore W3090487645C75172450 @default.
- W3090487645 hasConceptScore W3090487645C99498987 @default.
- W3090487645 hasLocation W30904876451 @default.
- W3090487645 hasOpenAccess W3090487645 @default.
- W3090487645 hasPrimaryLocation W30904876451 @default.
- W3090487645 hasRelatedWork W10762699 @default.
- W3090487645 hasRelatedWork W11499724 @default.
- W3090487645 hasRelatedWork W13173738 @default.
- W3090487645 hasRelatedWork W14012258 @default.
- W3090487645 hasRelatedWork W1945933 @default.
- W3090487645 hasRelatedWork W3856460 @default.
- W3090487645 hasRelatedWork W387839 @default.
- W3090487645 hasRelatedWork W637621 @default.
- W3090487645 hasRelatedWork W8932171 @default.
- W3090487645 hasRelatedWork W9321430 @default.
- W3090487645 isParatext "false" @default.
- W3090487645 isRetracted "false" @default.
- W3090487645 magId "3090487645" @default.
- W3090487645 workType "book-chapter" @default.