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http://hdl.handle.net/1942/45767
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DC Field | Value | Language |
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dc.contributor.author | Falivene, Anna | - |
dc.contributor.author | JOHNSON, Charlotte | - |
dc.contributor.author | KLINGELS, Katrijn | - |
dc.contributor.author | MEYNS, Pieter | - |
dc.contributor.author | VERBECQUE, Evi | - |
dc.contributor.author | Hallemans, Ann | - |
dc.contributor.author | Biffi, Emilia | - |
dc.contributor.author | Piazza, Caterina | - |
dc.contributor.author | Crippa, Alessandro | - |
dc.date.accessioned | 2025-03-31T13:38:06Z | - |
dc.date.available | 2025-03-31T13:38:06Z | - |
dc.date.issued | 2025 | - |
dc.date.submitted | 2025-03-12T15:21:18Z | - |
dc.identifier.citation | Sensors, 25 (6) (Art N° 1768) | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/1942/45767 | - |
dc.description.abstract | Functional near-infrared spectroscopy (fNIRS) is particularly suitable for measuring brain activity during motor tasks, due to its portability and good motion tolerance. In such cases, the trials' duration may vary depending on the experimental conditions or the participant's response, therefore a comparison of hemodynamic responses across repetitions cannot be properly performed. In this work, we present a MATLAB (R2023a) function (TaskNorm.m) developed for time-normalizing fNIRS data recorded during trials with different durations. It is based on a spline interpolation method that rescales the time-axis to the percentage of the trial with a fixed number of samples. This allows us to successively average across repetitions to obtain the mean hemodynamic responses and complete the standard data processing. The algorithm was tested on eight subjects (four with developmental coordination disorder, age: 9.78 ± 0.30 and four typically developing children, age: 9.02 ± 0.30) performing three different tasks. The results show that the TaskNorm function works as expected, allowing both a comparison and averaging of the data across multiple repetitions. The performance of the function is independent of the task or the pre-processing pipeline applied. The proposed function is publicly available and importable into the HomER3 package (v1.72.0), representing a further step in the ongoing standardization process of fNIRS data analysis. | - |
dc.description.sponsorship | Funding This research was partially funded by the Italian Ministry of Health (Ricerca Corrente 2023–2024 and 2024–2025 to E. Biffi) and by the Research Foundation-Flanders (FWO) (grant number: 43498, year: 2020) Acknowledgments Special thanks go to all the children and their parents who took part in the study | - |
dc.language.iso | en | - |
dc.rights | 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/). | - |
dc.subject.other | data time-normalization | - |
dc.subject.other | functional near-infrared spectroscopy | - |
dc.subject.other | spline interpolation | - |
dc.subject.other | self-paced tasks | - |
dc.subject.other | MATLAB | - |
dc.title | Time-Normalization Approach for fNIRS Data During Tasks with High Variability in Duration | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 1768 | - |
dc.identifier.volume | 25 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 1768 | - |
dc.identifier.doi | 10.3390/s25061768 | - |
dc.identifier.isi | 001453743600001 | - |
local.provider.type | - | |
local.uhasselt.international | yes | - |
item.fulltext | With Fulltext | - |
item.contributor | Falivene, Anna | - |
item.contributor | JOHNSON, Charlotte | - |
item.contributor | KLINGELS, Katrijn | - |
item.contributor | MEYNS, Pieter | - |
item.contributor | VERBECQUE, Evi | - |
item.contributor | Hallemans, Ann | - |
item.contributor | Biffi, Emilia | - |
item.contributor | Piazza, Caterina | - |
item.contributor | Crippa, Alessandro | - |
item.fullcitation | Falivene, Anna; JOHNSON, Charlotte; KLINGELS, Katrijn; MEYNS, Pieter; VERBECQUE, Evi; Hallemans, Ann; Biffi, Emilia; Piazza, Caterina & Crippa, Alessandro (2025) Time-Normalization Approach for fNIRS Data During Tasks with High Variability in Duration. In: Sensors, 25 (6) (Art N° 1768). | - |
item.accessRights | Open Access | - |
crisitem.journal.eissn | 1424-8220 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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sensors-25-01768.pdf | Published version | 4.41 MB | Adobe PDF | View/Open |
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