Methodological Approaches and Recommendations for Functional Near-Infrared Spectroscopy Applications in HF/E Research.


Journal

Human factors
ISSN: 1547-8181
Titre abrégé: Hum Factors
Pays: United States
ID NLM: 0374660

Informations de publication

Date de publication:
06 2020
Historique:
pubmed: 21 5 2019
medline: 21 9 2021
entrez: 21 5 2019
Statut: ppublish

Résumé

The objective of this study was to systematically document current methods and protocols employed when using functional near-infrared spectroscopy (fNIRS) techniques in human factors and ergonomics (HF/E) research and generate recommendations for conducting and reporting fNIRS findings in HF/E applications. A total of 1,687 articles were identified through Ovid-MEDLINE, PubMed, Web of Science, and Scopus databases, of which 37 articles were included in the review based on review inclusion/exclusion criteria. A majority of the HF/E fNIRS investigations were found in transportation, both ground and aviation, and in assessing cognitive (e.g., workload, working memory) over physical constructs. There were large variations pertaining to data cleaning, processing, and analysis approaches across the studies that warrant standardization of methodological approaches. The review identified major challenges in transparency and reporting of important fNIRS data collection and analyses specifications that diminishes study replicability, introduces potential biases, and increases likelihood of inaccurate results. As such, results reported in existing fNIRS studies need to be cautiously approached. To improve the quality of fNIRS investigations and/or to facilitate its adoption and integration in different HF/E applications, such as occupational ergonomics and rehabilitation, recommendations for fNIRS data collection, processing, analysis, and reporting are provided.

Identifiants

pubmed: 31107601
doi: 10.1177/0018720819845275
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

613-642

Auteurs

Yibo Zhu (Y)

14736 Texas A&M University, College Station, USA.

Carolina Rodriguez-Paras (C)

14736 Texas A&M University, College Station, USA.

Joohyun Rhee (J)

14736 Texas A&M University, College Station, USA.

Ranjana K Mehta (RK)

14736 Texas A&M University, College Station, USA.

Articles similaires

Humans Female Prefrontal Cortex Male Spectroscopy, Near-Infrared
Humans Lung Diseases Chronic Disease Research Pulmonary Disease, Chronic Obstructive
Humans Students Universities Hispanic or Latino Mentors
Aged Humans Guidelines as Topic Ergonomics Aging

Classifications MeSH