Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces

BioMedical Engineering Online

Volumn 13, Issue 1, 2014, Pages

  Cao, Teng ^a   Wan, Feng ^a   Wong, Chi Man ^a   da Cruz, Janir Nuno ^a   Hu, Yong ^b  

^a UNIVERSITY OF MACAU   (Macao)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Brain computer interfaces; Electroencephalography spectral analysis; Fatigue; Objective evaluation; Steady state visual evoked potential

Indexed keywords

ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; FATIGUE OF MATERIALS; INTERFACE STATES; INTERFACES (COMPUTER); SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS; SURVEYS; FREQUENCY BANDS;

BRAIN COMPUTER INTERFACES (BCIS); EPILEPTIC SEIZURES; FATIGUE PROBLEMS; OBJECTIVE EVALUATION; PERFORMANCE DETERIORATION; REAL TIME EVALUATION; SIGNAL QUALITY; STEADY STATE VISUAL EVOKED POTENTIALS;

BRAIN COMPUTER INTERFACE;

ADULT; ALERTNESS; ANALYSIS OF VARIANCE; ARTICLE; BRAIN COMPUTER INTERFACE; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE STIMULATOR; EVOKED VISUAL RESPONSE; FATIGUE; HUMAN; HUMAN EXPERIMENT; NORMAL HUMAN; RANDOMIZED CONTROLLED TRIAL; SELF REPORT; STEADY STATE; ALPHA RHYTHM; AMPLIFIER; AMPLITUDE MODULATION; BETA RHYTHM; BRAIN DEPTH STIMULATION; CHALDER FATIGUE SCALE; CLINICAL ARTICLE; CLINICAL EFFECTIVENESS; CLINICAL EVALUATION; COMPUTER PROGRAM; CORTICAL ELECTRODE; DELTA RHYTHM; DISEASE SEVERITY; FEASIBILITY STUDY; FREQUENCY MODULATION; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; PROCESS OPTIMIZATION; PSYCHOMETRY; QUESTIONNAIRE; SIGNAL NOISE RATIO; SPECTRAL SENSITIVITY; STIMULUS RESPONSE; SYSTEM ANALYSIS; TASK PERFORMANCE; THETA RHYTHM; VISUAL STIMULATION; YOUNG ADULT; EPILEPSY; METHODOLOGY; PATHOLOGY; PHOTOSTIMULATION; SIGNAL PROCESSING; SIGNAL TRANSDUCTION; TIME;

ADULT; ANALYSIS OF VARIANCE; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; EPILEPSY; EVOKED POTENTIALS, VISUAL; FATIGUE; HUMANS; PHOTIC STIMULATION; QUESTIONNAIRES; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL TRANSDUCTION; SIGNAL-TO-NOISE RATIO; TIME FACTORS; YOUNG ADULT;

EID: 84899152341     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-13-28     Document Type: Article

References (37)

1. Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM. Brain-computer interfaces for communication and control. Clin Neurophysiol 2002, 113:767-791. 10.1016/S1388-2457(02)00057-3, 12048038.
2. Wang Y, Gao X, Hong B, Jia C, Gao S. Brain-computer interfaces based on visual evoked potentials: feasibility of practical system designs. IEEE Eng Med Biol Mag 2008, 27:64-71.
3. Shen J, Barbera J, Shapiro CM. Distinguishing sleepiness and fatigue: focus on definition and measurement. Sleep Med Rev 2006, 10:63-76. 10.1016/j.smrv.2005.05.004, 16376590.
4. Craig A, Tran Y, Wijesuriya N, Boord P. A controlled investigation into the psychological determinants of fatigue. Biol Psychol 2006, 72:78-87. 10.1016/j.biopsycho.2005.07.005, 16137817.
5. Craig A, Tran Y, Wijesuriya N, Nguyen H. Regional brain wave activity changes associated with fatigue. Psychophysiology 2012, 49:574-582. 10.1111/j.1469-8986.2011.01329.x, 22324302.
6. Van-Gerven M, Farquhar J, Schaefer R, Vlek R, Geuze J, Nijholt A, Ramsey N, Haselager P, Vuurpijl L, Gielen S, Desain P. The brain-computer interface cycle. J Neural Eng 2009, 6:041001. 10.1088/1741-2560/6/4/041001, 19622847.
7. Pinheiro CG, Naves EL, Pino P, Losson E, Andrade AO, Bourhis G. Alternative communication systems for people with severe motor disabilities: a survey. BioMed Eng OnLine 2011, 10:31. 10.1186/1475-925X-10-31, 3103465, 21507236.
8. Müller MM, Hillyard S. Concurrent recording of steady-state and transient event-related potentials as indices of visual-spatial selective attention. Clin Neurophysiol 2000, 111:1544-1552. 10.1016/S1388-2457(00)00371-0, 10964063.
9. Toffanin P, De-Jong R, Johnson A, Martens S. Using frequency tagging to quantify attentional deployment in a visual divided attention task. Int J Psychophysiol 2009, 72:289-298. 10.1016/j.ijpsycho.2009.01.006, 19452603.
10. Shyu K, Lee P, Liu Y, Sie J. Dual-frequency steady-state visual evoked potential for brain computer interface. Neurosci Lett 2010, 483:28-31. 10.1016/j.neulet.2010.07.043, 20655362.
11. Lee P, Sie J, Liu Y, Wu C, Lee M, Shu C, Li P, Sun C, Shyu K. An SSVEP-actuated brain computer interface using phase-tagged flickering sequences: a cursor system. Ann Biomed Eng 2010, 38:2383-2397. 10.1007/s10439-010-9964-y, 20177780.
12. Müller-Putz GR, Pfurtscheller G. Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Trans Biomed Eng 2008, 55:361-364.
13. Lopez-Gordo MA, Prieto A, Pelayo F, Morillas C. Customized stimulation enhances performance of independent binary SSVEP-BCIs. Clin Neurophysiol 2011, 122:128-133. 10.1016/j.clinph.2010.05.021, 20573542.
14. Diez PF, Mut VA, Perona EMA, Leber EL. Asynchronous BCI control using high-frequency SSVEP. J Neuroeng Rehabil 2011, 8:39. 10.1186/1743-0003-8-39, 3152890, 21756342.
15. Volosyak I, Valbuena D, Lüth T, Malechka T, Gräser A. BCI demographics II: how many (and what kind of) people can use a high-frequency SSVEP BCI?. IEEE Trans Neural Syst Rehabil Eng 2011, 19:232-239.
16. Lee P, Yeh C, Cheng J, Yang C, Lan G. An SSVEP-based BCI using high duty-cycle visual flicker. IEEE Trans Biomed Eng 2011, 58:3350-3359.
17. Chang M, Baek H, Lee S, Park K. An amplitude-modulated visual stimulation for reducing eye fatigue in SSVEP-based brain-computer interfaces. Clin Neurophysiol in press.
18. Allison B, Lüth T, Valbunena D, Teymourian A, Volosyak I, Gräser A. BCI demographics: how many (and what kind of) people can use an SSVEP BCI?. IEEE Trans Neural Syst Rehabil Eng 2010, 18:107-116.
19. Bieger J, Molia GG. Light stimulation properties to influence brain activity: a brain-computer interface application. Philips Research Technical Note 2010, TN-2010-00315.
20. Allison BZ, Brunner C, Altstätter C, Wagner IC, Grissmann S, Neuper C. A hybrid ERD/SSVEP BCI for continuous simultaneous two dimensional cursor control. J Neurosci Methods 2012, 209:299-307. 10.1016/j.jneumeth.2012.06.022, 22771715.
21. Johns MW. A sleep physiologist' s view of the drowsy driver. Psychol Behav 2000, 3:241-249.
22. Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev 1999, 29:169-195. 10.1016/S0165-0173(98)00056-3, 10209231.
23. Lafrance C, Dumont M. Diurnal variations in the waking EEG: comparisons with sleep latencies and subjective alertness. J Sleep Res 2000, 9:243-248. 10.1046/j.1365-2869.2000.00204.x, 11012862.
24. Eoh HJ, Chung MK, Kim S. Electroencephalographic study of drowsiness in simulated driving with sleep deprivation. Int J Ind Ergonom 2005, 35:307-320.
25. Cao T, Wong CM, Wan F, Hu Y. Objective indication of fatigue in SSVEP-based BCI through EEG spectral analysis. Proceeding of the Fifth International Brain-Computer Interface Meeting: 3-7 June 2013; Pacific Grove. California, USA 2013, 9. Verlag der Technischen Universität Graz, Millán JR, Gao S, Müller-Putz GR, Wolpaw JR, Huggins JE.
26. Cella M, Chalder T. Measuring fatigue in clinical and community settings. J Psychosom Res 2010, 69:17-22. 10.1016/j.jpsychores.2009.10.007, 20630259.
27. Wang Y, Wang R, Gao X, Hong B. A practical VEP-based brain-computer interface. IEEE Trans Neural Syst Rehabil Eng 2006, 14:234-240. 10.1109/TNSRE.2006.875576, 16792302.
28. Japa BT, Lala S, Fischerb P, Bekiaris E. Using EEG spectral components to assess algorithms for detecting fatigue. Expert Syst Appl 2009, 36:2352-2359.
29. Cajochen C, Brunner DP, Kräuchi K, Graw P, Wirz-Justice A. Power density in theta/alpha frequencies of the waking EEG progressively increases during sustained wakefulness. Sleep 1995, 18:890-894.
30. Cajochen C, Kräuchi K, Arx MV, Möri M, Graw P, Wirz-Justice A. Daytime melatonin administration enhances sleepiness and theta/alpha activity in the waking EEG. Neurosci Lett 1996, 207:209-213. 10.1016/0304-3940(96)12517-9, 8728487.
31. Lal SKL, Craig A. Driver fatigue: electroencephalography and psychological assessment. Psychophysiology 2002, 39:313-321. 10.1017/S0048577201393095, 12212650.
32. Caldwell JA, Hall KK, Erickson BS. EEG data collected from helicopter pilots in flight are sufficiently sensitive to detect increased fatigue from sleep deprivation. Int J Aviat Psychol 2002, 12:19-32.
33. Steriade M, Gloor P, Llinas RR, Da-Silva FHL, Mesulam MM. Basic mechanisms of cerebral rhythmic activities. Clin Neurophysiol 1990, 76:481-508.
34. Campagne A, Pebayle T, Muzet A. Correlation between driving errors and vigilance level: influence of the driver's age. Physiol Behav 2004, 80:515-524. 10.1016/j.physbeh.2003.10.004, 14741236.
35. Trejo LJ, Knuth K, Prado P, Rosipal R, Kubitz K, Kochavi R, Matthews B, Zhang Y. EEG-based estimation of cognitive fatigue: convergent evidence for three-state model. Lect Notes Comput Sc 2007, 4565:201-211.
36. Wierwille WW, Ellsworth LA. Evaluation of driver drowsiness by trained raters. Accid Anal Prev 1994, 26:5715-5781.
37. Tanaka H, Hayashi M, Hori T. Topographical characteristics and principal component structure of the hypnagogic EEG. Sleep 1997, 20:523-534.