Towards measurement of brain function in operational environments
- PMID: 7647178
- DOI: 10.1016/0301-0511(95)05105-8
Towards measurement of brain function in operational environments
Abstract
In operational environments that demand sustained vigilance or that involve multiple tasks competing for limited attentional resources, continuous monitoring of the mental state of the operator could decrease the potential for serious errors and provide valuable information concerning the ergonomics of the tasks being performed. There is widespread discussion and appreciation of the basic feasibility of utilizing neurophysiological measurements to derive accurate, reliable, rapid and unobtrusive assessments of mental state. However, progress in transitioning this idea into practical applications has been impeded by the fact that at present no convenient, inexpensive and effective means exists to derive a meaningful index of brain activity outside of laboratory settings. In this paper, we review some recent advances in recording technology and signal processing methods that will help overcome this limitation. For example, rapid progress is being made in the engineering of recording systems that are small, rugged, portable and easy-to-use, and thus suitable for deployment in operational environments. Progress is also being made in the development of signal processing algorithms for detecting and correcting recording artifacts and for increasing the amount of useful information that can be derived from brain signals. Finally, results from basic research studies suggest that accurate and reliable inferences about the mental load and alertness of an individual can be derived from neurophysiological measures in a practical fashion. These research and engineering successes suggest that it is reasonable to expect that in the near term a basic enabling technology will be deployed that will permit routine measurement of brain function in operational environments.
Similar articles
-
Cognitive task classification based upon topographic EEG data.Biol Psychol. 1995 May;40(1-2):239-50. doi: 10.1016/0301-0511(95)05102-3. Biol Psychol. 1995. PMID: 7647185
-
Assessing the impact of stressors on performance: observations on levels of analyses.Biol Psychol. 1995 May;40(1-2):197-208. doi: 10.1016/0301-0511(95)05115-5. Biol Psychol. 1995. PMID: 7647181 Clinical Trial.
-
Rheoencephalographic and electroencephalographic measures of cognitive workload: analytical procedures.Biol Psychol. 1995 May;40(1-2):143-59. doi: 10.1016/0301-0511(95)05117-1. Biol Psychol. 1995. PMID: 7647176
-
Brain-computer interfaces for communication and control.Clin Neurophysiol. 2002 Jun;113(6):767-91. doi: 10.1016/s1388-2457(02)00057-3. Clin Neurophysiol. 2002. PMID: 12048038 Review.
-
Measurement and analysis methods of heart rate and respiration for use in applied environments.Biol Psychol. 1992 Nov;34(2-3):205-36. doi: 10.1016/0301-0511(92)90016-n. Biol Psychol. 1992. PMID: 1467394 Review.
Cited by
-
Electroencephalographic imaging of higher brain function.Philos Trans R Soc Lond B Biol Sci. 1999 Jul 29;354(1387):1125-33. doi: 10.1098/rstb.1999.0468. Philos Trans R Soc Lond B Biol Sci. 1999. PMID: 10466140 Free PMC article.
-
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload.Front Neuroinform. 2022 May 16;16:861967. doi: 10.3389/fninf.2022.861967. eCollection 2022. Front Neuroinform. 2022. PMID: 35651718 Free PMC article.
-
Carbon nanofiber-filled conductive silicone elastomers as soft, dry bioelectronic interfaces.PLoS One. 2018 Feb 6;13(2):e0189415. doi: 10.1371/journal.pone.0189415. eCollection 2018. PLoS One. 2018. PMID: 29408942 Free PMC article.
-
Neuroergonomic Assessment of Wheelchair Control Using Mobile fNIRS.IEEE Trans Neural Syst Rehabil Eng. 2020 Jun;28(6):1488-1496. doi: 10.1109/TNSRE.2020.2992382. Epub 2020 May 4. IEEE Trans Neural Syst Rehabil Eng. 2020. PMID: 32386159 Free PMC article.
-
Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments.Front Neurosci. 2020 Feb 14;14:40. doi: 10.3389/fnins.2020.00040. eCollection 2020. Front Neurosci. 2020. PMID: 32116498 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical