FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217164048> ?p ?o ?g. }

• W3217164048 endingPage "7943" @default.
• W3217164048 startingPage "7943" @default.
• W3217164048 abstract "Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using one hand, have been not investigated using fNIRS technology. Twenty-four healthy volunteers participated in the individual finger-tapping experiment. Data were acquired from the motor cortex using sixteen sources and sixteen detectors. In this preliminary study, we applied standard fNIRS data processing pipeline, i.e., optical densities conversation, signal processing, feature extraction, and classification algorithm implementation. Physiological and non-physiological noise is removed using 4th order band-pass Butter-worth and 3rd order Savitzky-Golay filters. Eight spatial statistical features were selected: signal-mean, peak, minimum, Skewness, Kurtosis, variance, median, and peak-to-peak form data of oxygenated haemoglobin changes. Sophisticated machine learning algorithms were applied, such as support vector machine (SVM), random forests (RF), decision trees (DT), AdaBoost, quadratic discriminant analysis (QDA), Artificial neural networks (ANN), k-nearest neighbors (kNN), and extreme gradient boosting (XGBoost). The average classification accuracies achieved were 0.75±0.04, 0.75±0.05, and 0.77±0.06 using k-nearest neighbors (kNN), Random forest (RF) and XGBoost, respectively. KNN, RF and XGBoost classifiers performed exceptionally well on such a high-class problem. The results need to be further investigated. In the future, a more in-depth analysis of the signal in both temporal and spatial domains will be conducted to investigate the underlying facts. The accuracies achieved are promising results and could open up a new research direction leading to enrichment of control commands generation for fNIRS-based brain-computer interface applications." @default.
• W3217164048 created "2021-12-06" @default.
• W3217164048 creator A5016066312 @default.
• W3217164048 creator A5032770006 @default.
• W3217164048 creator A5044746485 @default.
• W3217164048 creator A5051442365 @default.
• W3217164048 creator A5066197913 @default.
• W3217164048 creator A5087902064 @default.
• W3217164048 date "2021-11-28" @default.
• W3217164048 modified "2023-10-01" @default.
• W3217164048 title "Classification of Individual Finger Movements from Right Hand Using fNIRS Signals" @default.
• W3217164048 cites W1581457739 @default.
• W3217164048 cites W1969563952 @default.
• W3217164048 cites W1973638771 @default.
• W3217164048 cites W1988988635 @default.
• W3217164048 cites W2007516893 @default.
• W3217164048 cites W2022327534 @default.
• W3217164048 cites W2035907019 @default.
• W3217164048 cites W2045561515 @default.
• W3217164048 cites W2062500193 @default.
• W3217164048 cites W2066303625 @default.
• W3217164048 cites W2069074795 @default.
• W3217164048 cites W2082504982 @default.
• W3217164048 cites W2127503416 @default.
• W3217164048 cites W2140905478 @default.
• W3217164048 cites W2144580488 @default.
• W3217164048 cites W2151756070 @default.
• W3217164048 cites W2156522227 @default.
• W3217164048 cites W2203484964 @default.
• W3217164048 cites W2256369587 @default.
• W3217164048 cites W2403091650 @default.
• W3217164048 cites W2441196932 @default.
• W3217164048 cites W2485179528 @default.
• W3217164048 cites W2492605684 @default.
• W3217164048 cites W2521873691 @default.
• W3217164048 cites W2544179747 @default.
• W3217164048 cites W2588627481 @default.
• W3217164048 cites W2599638598 @default.
• W3217164048 cites W2735558480 @default.
• W3217164048 cites W2738926490 @default.
• W3217164048 cites W2766377895 @default.
• W3217164048 cites W2790317733 @default.
• W3217164048 cites W2796397123 @default.
• W3217164048 cites W2803554436 @default.
• W3217164048 cites W2810728445 @default.
• W3217164048 cites W2811153207 @default.
• W3217164048 cites W2909619163 @default.
• W3217164048 cites W2916154230 @default.
• W3217164048 cites W2917940321 @default.
• W3217164048 cites W2949249259 @default.
• W3217164048 cites W2994384968 @default.
• W3217164048 cites W3005413226 @default.
• W3217164048 cites W3007780430 @default.
• W3217164048 cites W3010420260 @default.
• W3217164048 cites W3024261676 @default.
• W3217164048 cites W3082119294 @default.
• W3217164048 cites W3119666920 @default.
• W3217164048 cites W3121802580 @default.
• W3217164048 cites W3144064738 @default.
• W3217164048 cites W3188768863 @default.
• W3217164048 cites W3195581831 @default.
• W3217164048 cites W3202503690 @default.
• W3217164048 doi "https://doi.org/10.3390/s21237943" @default.
• W3217164048 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34883949" @default.
• W3217164048 hasPublicationYear "2021" @default.
• W3217164048 type Work @default.
• W3217164048 sameAs 3217164048 @default.
• W3217164048 citedByCount "4" @default.
• W3217164048 countsByYear W32171640482022 @default.
• W3217164048 countsByYear W32171640482023 @default.
• W3217164048 crossrefType "journal-article" @default.
• W3217164048 hasAuthorship W3217164048A5016066312 @default.
• W3217164048 hasAuthorship W3217164048A5032770006 @default.
• W3217164048 hasAuthorship W3217164048A5044746485 @default.
• W3217164048 hasAuthorship W3217164048A5051442365 @default.
• W3217164048 hasAuthorship W3217164048A5066197913 @default.
• W3217164048 hasAuthorship W3217164048A5087902064 @default.
• W3217164048 hasBestOaLocation W32171640481 @default.
• W3217164048 hasConcept C12267149 @default.
• W3217164048 hasConcept C130796691 @default.
• W3217164048 hasConcept C153180895 @default.
• W3217164048 hasConcept C154945302 @default.
• W3217164048 hasConcept C15744967 @default.
• W3217164048 hasConcept C169258074 @default.
• W3217164048 hasConcept C169760540 @default.
• W3217164048 hasConcept C169900460 @default.
• W3217164048 hasConcept C2781195155 @default.
• W3217164048 hasConcept C2992114214 @default.
• W3217164048 hasConcept C41008148 @default.
• W3217164048 hasConcept C52001869 @default.
• W3217164048 hasConcept C52620605 @default.
• W3217164048 hasConcept C52622490 @default.
• W3217164048 hasConcept C548259974 @default.
• W3217164048 hasConcept C69738355 @default.
• W3217164048 hasConcept C71924100 @default.
• W3217164048 hasConceptScore W3217164048C12267149 @default.
• W3217164048 hasConceptScore W3217164048C130796691 @default.
• W3217164048 hasConceptScore W3217164048C153180895 @default.

• next