Matches in SemOpenAlex for { <https://semopenalex.org/work/W2588364548> ?p ?o ?g. }
- W2588364548 abstract "In pediatrics studies, the quality of functional near infrared spectroscopy (fNIRS) signals is often reduced by motion artifacts. These artifacts likely mislead brain functionality analysis, causing false discoveries. While noise correction methods and their performance have been investigated, these methods require several parameter assumptions that apparently result in noise overfitting. In contrast, the rejection of noisy signals serves as a preferable method because it maintains the originality of the signal waveform. Here, we describe a semi-learning algorithm to detect and eliminate noisy signals. The algorithm dynamically adjusts noise detection according to the predetermined noise criteria, which are spikes, unusual activation values (averaged amplitude signals within the brain activation period), and high activation variances (among trials). Criteria were sequentially organized in the algorithm and orderly assessed signals based on each criterion. By initially setting an acceptable rejection rate, particular criteria causing excessive data rejections are neglected, whereas others with tolerable rejections practically eliminate noises. fNIRS data measured during the attention response paradigm (oddball task) in children with attention deficit/hyperactivity disorder (ADHD) were utilized to evaluate and optimize the algorithm’s performance. This algorithm successfully substituted the visual noise identification done in the previous studies and consistently found significantly lower activation of the right prefrontal and parietal cortices in ADHD patients than in typical developing children. Thus, we conclude that the semi-learning algorithm confers more objective and standardized judgment for noise rejection and presents a promising alternative to visual noise rejection" @default.
- W2588364548 created "2017-02-24" @default.
- W2588364548 creator A5003016154 @default.
- W2588364548 creator A5028347532 @default.
- W2588364548 creator A5051739220 @default.
- W2588364548 creator A5052345946 @default.
- W2588364548 creator A5057437601 @default.
- W2588364548 creator A5064555137 @default.
- W2588364548 creator A5065995678 @default.
- W2588364548 creator A5073412695 @default.
- W2588364548 creator A5078293163 @default.
- W2588364548 creator A5085551783 @default.
- W2588364548 date "2017-02-17" @default.
- W2588364548 modified "2023-09-28" @default.
- W2588364548 title "A semi-learning algorithm for noise rejection: an fNIRS study on ADHD children" @default.
- W2588364548 cites W1537138782 @default.
- W2588364548 cites W1972179573 @default.
- W2588364548 cites W1980253733 @default.
- W2588364548 cites W1980786684 @default.
- W2588364548 cites W1992529560 @default.
- W2588364548 cites W1999340799 @default.
- W2588364548 cites W2005567506 @default.
- W2588364548 cites W2027387731 @default.
- W2588364548 cites W2029932742 @default.
- W2588364548 cites W2035529272 @default.
- W2588364548 cites W2037528192 @default.
- W2588364548 cites W2037722933 @default.
- W2588364548 cites W2064470693 @default.
- W2588364548 cites W2073093671 @default.
- W2588364548 cites W2082906925 @default.
- W2588364548 cites W2092770659 @default.
- W2588364548 cites W2099119042 @default.
- W2588364548 cites W2108431768 @default.
- W2588364548 cites W2110045849 @default.
- W2588364548 cites W2113984224 @default.
- W2588364548 cites W2116767216 @default.
- W2588364548 cites W2121265355 @default.
- W2588364548 cites W2133432047 @default.
- W2588364548 cites W2136765874 @default.
- W2588364548 cites W2137523819 @default.
- W2588364548 cites W2140928170 @default.
- W2588364548 cites W2141333481 @default.
- W2588364548 cites W2162898349 @default.
- W2588364548 cites W2165201535 @default.
- W2588364548 cites W2168963208 @default.
- W2588364548 cites W2195752700 @default.
- W2588364548 cites W4230825363 @default.
- W2588364548 cites W4253731691 @default.
- W2588364548 doi "https://doi.org/10.1117/12.2249742" @default.
- W2588364548 hasPublicationYear "2017" @default.
- W2588364548 type Work @default.
- W2588364548 sameAs 2588364548 @default.
- W2588364548 citedByCount "0" @default.
- W2588364548 crossrefType "proceedings-article" @default.
- W2588364548 hasAuthorship W2588364548A5003016154 @default.
- W2588364548 hasAuthorship W2588364548A5028347532 @default.
- W2588364548 hasAuthorship W2588364548A5051739220 @default.
- W2588364548 hasAuthorship W2588364548A5052345946 @default.
- W2588364548 hasAuthorship W2588364548A5057437601 @default.
- W2588364548 hasAuthorship W2588364548A5064555137 @default.
- W2588364548 hasAuthorship W2588364548A5065995678 @default.
- W2588364548 hasAuthorship W2588364548A5073412695 @default.
- W2588364548 hasAuthorship W2588364548A5078293163 @default.
- W2588364548 hasAuthorship W2588364548A5085551783 @default.
- W2588364548 hasConcept C11413529 @default.
- W2588364548 hasConcept C115961682 @default.
- W2588364548 hasConcept C130796691 @default.
- W2588364548 hasConcept C153180895 @default.
- W2588364548 hasConcept C154945302 @default.
- W2588364548 hasConcept C15744967 @default.
- W2588364548 hasConcept C169760540 @default.
- W2588364548 hasConcept C169900460 @default.
- W2588364548 hasConcept C22019652 @default.
- W2588364548 hasConcept C22334291 @default.
- W2588364548 hasConcept C2776502983 @default.
- W2588364548 hasConcept C2781195155 @default.
- W2588364548 hasConcept C28490314 @default.
- W2588364548 hasConcept C41008148 @default.
- W2588364548 hasConcept C50644808 @default.
- W2588364548 hasConcept C67359045 @default.
- W2588364548 hasConcept C99498987 @default.
- W2588364548 hasConceptScore W2588364548C11413529 @default.
- W2588364548 hasConceptScore W2588364548C115961682 @default.
- W2588364548 hasConceptScore W2588364548C130796691 @default.
- W2588364548 hasConceptScore W2588364548C153180895 @default.
- W2588364548 hasConceptScore W2588364548C154945302 @default.
- W2588364548 hasConceptScore W2588364548C15744967 @default.
- W2588364548 hasConceptScore W2588364548C169760540 @default.
- W2588364548 hasConceptScore W2588364548C169900460 @default.
- W2588364548 hasConceptScore W2588364548C22019652 @default.
- W2588364548 hasConceptScore W2588364548C22334291 @default.
- W2588364548 hasConceptScore W2588364548C2776502983 @default.
- W2588364548 hasConceptScore W2588364548C2781195155 @default.
- W2588364548 hasConceptScore W2588364548C28490314 @default.
- W2588364548 hasConceptScore W2588364548C41008148 @default.
- W2588364548 hasConceptScore W2588364548C50644808 @default.
- W2588364548 hasConceptScore W2588364548C67359045 @default.
- W2588364548 hasConceptScore W2588364548C99498987 @default.
- W2588364548 hasLocation W25883645481 @default.
- W2588364548 hasOpenAccess W2588364548 @default.