The psychophysiological determinants of fatigue

Wijesuriya, Nirupama; Tran, Yvonne; Craig, Ashley

doi:10.1016/j.ijpsycho.2006.08.005

Cited by 45 publications

(29 citation statements)

References 49 publications

(71 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Многие авторы отмечают, что после длительной когнитивной де-ятельности испытуемые себя чувствуют намного хуже, чем до нее (Wijesuriya et al, 2007) . Так, Трейо обнаружил, что по-сле трех часов арифметических задач субъективная оценка по шкалам энер-гичность и спокойствие значимо сни-жаются, а значение по шкале усталость -значимо возрастает .…”

Section: субъективные показателиunclassified

The effect of long-term cognitive load on the EEG parameters

Сергеев¹

2014

N.Psy.J.

View full text Add to dashboard Cite

И сследовалось влияние длительной когнитивной нагрузки на субъективное состояние (опросник САН) и электрофизиологические показатели (индивидуальный альфа-ритм (ИАР), спектральные характеристики электроэнцефалограммы (ЭЭГ), индекс утомления (ИУ)). Когнитивная, или умственная, нагрузка моделировалась с помощью непрерывного решения испытуемым различных когнитивных заданий, направленных преимущественно на рабочую память и внимание, в течение 2,5 часов. До и после выполнения испытуемым умственной работы проводилась фоновая запись ЭЭГ и заполнение опросника САН. Анализ результатов исследования проводился путем статистического сравнения полученных данных до и после нагрузки. Результаты исследования показывают, что длительная когнитивная нагрузка значимо отражается на субъективной сфере в снижении самочувствия и активности испытуемого. На электрофизиологическом уровне такая нагрузка приводит к снижению частоты индивидуального альфа ритма, обширному увеличению индекса утомления, а также увеличению средних мощностей тета-, альфа-и бета-ритмов. Таким образом, когнитивная нагрузка отражается в значимых сдвигах динамики мозговой активности, проявляющейся как в достаточно динамичных параметрах, таких как мощности альфа-и бета-ритмов; но также и в более стабильных показателях, как например, индивидуальный альфа-ритм и индекс утомления. По результатам проведенного исследования можно сделать вывод о том, что значительная умственная работа приводит к значимому увеличению мощности медленно-волновой активности мозга и ухудшению субъективного самочувствия. Полученные результаты, с одной стороны, согласуются с литературными данными, а с другой стороны -носят интегративный характер, объединяя данные различных исследований, и таким образом, создают более комплексный взгляд на процесс умственного утомления с точки зрения мозговой динамики. Ключевые слова: утомление, когнитивная нагрузка, ЭЭГ, время реакции, индивидуальный альфа ритм, индекс утомления, субъективные показатели T he influence of long-term cognitive load on the individual condition (HEM Questionnaire) and also electrophysiological parameters (individual alpha rhythm (IAR), the spectral characteristics of the electroencephalogram (EEG), fatigue index (IS)). Cognitive or mental load was simulated by a series of continuous solutions of various cognitive tasks assigned that were aimed mainly on working memory and attention within the time limit of 2.5 hours. Before and after the test we were making records of background EEG and the participants were completing HEM questionnaires. Analysis of the results of research conducted by the statistical comparison of the data obtained before and after exercise. The results show that long-term cognitive load significantly tells on the subjective sphere and the activity of the participant. On the electrophysiological level, the load results in a decrease of individual alpha rhythm frequency, a vast increase in the fatigue index, and also the increase of average power of theta, alpha and beta rhythms. Thus, the cognitive load is reflected i...

show abstract

Section: субъективные показателиunclassified

The effect of long-term cognitive load on the EEG parameters

Сергеев¹

2014

N.Psy.J.

View full text Add to dashboard Cite

show abstract

“…Unfortunately, there is a lack of a "gold standard" definition of what constitutes fatigue (Craig, Tran, Wijesuriya, & Boord, 2006;Shen et al, 2006), resulting in terms, such as fatigue, sleepiness and drowsiness, often being used interchangeably (Wijesuriya, Tran, & Craig, 2007). However, fatigue is defined that it is a complex phenomenon involving physical, psychosocial and behavioral processes (Shen et al, 2006;Wijesuriya et al, 2007). Fatigue includes feelings of tiredness or drowsiness and is known to involve performance decrements resulting from reduced alertness that impairs both capability and willingness to perform a task (Grandjean, 1988), as well as reduced cognitive and psychomotor skills (Craig et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…While fatigue is thought to be associated with subjective aspects of drowsiness or tiredness, research findings have shown that anxiety, depressive mood and negative sympathetic arousal are significantly associated with fatigue (Craig et al, 2006;Wijesuriya et al, 2007). Furthermore, research has suggested that fatigue can be explained by a two-level processing model in which physiological factors tap into lower level autonomic processing, while negative psychological factors such as anxiety tap into higher-level "executive" cognitive processes (Craig et al, 2006;Verwey & Zaidel, 2000;Wijesuriya et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, research has suggested that fatigue can be explained by a two-level processing model in which physiological factors tap into lower level autonomic processing, while negative psychological factors such as anxiety tap into higher-level "executive" cognitive processes (Craig et al, 2006;Verwey & Zaidel, 2000;Wijesuriya et al, 2007). Based on the above evidence, we defined fatigue for the purposes of this study as: A chronic state of tiredness or drowsiness that involves a complex interaction between autonomic, physiological and psychological factors, experienced and perceived as a negative state of mind associated with decrements in behavioral performance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Catastrophic Injury and Its Association With Negative Mood States

Wijesuriya¹,

Craig²,

Tran³

et al. 2011

JPR

View full text Add to dashboard Cite

Negative mood states are reported to be prevalent symptoms following SCI (spinal cord injury), however, controlled research primarily investigating its occurrence in SCI is uncommon. The primary objective of this paper was to study levels of negative mood states, such as fatigue and related states in people with SCI. Fatigue and mood states were assessed in people with SCI using validated measures, with comparisons made to able-bodied controls with similar age and sex ratio. Participants included 27 people with SCI living in the community and 27 able-bodied controls. The SCI group was found to have significantly elevated fatigue, as well as elevated levels of anger and reduced vigor. The risk of a person with SCI having elevated levels of fatigue was over four times than that of the able-bodied controls and their risk of having elevated anger was nine times more than that of able-bodied persons. The data presented in this study provide preliminary evidence that SCI is associated with negative mood states such as elevated fatigue and the clinical consequences of elevated fatigue to effective adjustment to SCI need to be explored.

show abstract

“…[6][7][8][9][10][11] Fatigue can be considered an internal distractor because it diminishes the alertness of the driver. 12 Fatigue can be monitored by measuring facial expressions such as percent eye closure, eye closure duration, blink frequency, nodding frequency, face pose, fixed gaze and yawing.…”

mentioning

confidence: 99%

Video surveillance for monitoring driver's fatigue and distraction

et al. 2012

View full text Add to dashboard Cite

Fatigue and distraction effects in drivers represent a great risk for road safety. For both types of driver behavior problems, image analysis of eyes, mouth and head movements gives valuable information. We present in this paper a system for monitoring fatigue and distraction in drivers by evaluating their performance using image processing. We extract visual features related to nod, yawn, eye closure and opening, and mouth movements to detect fatigue as well as to identify diversion of attention from the road. We achieve an average of 98.3% and 98.8% in terms of sensitivity and specificity for detection of driver's fatigue, and 97.3% and 99.2% for detection of driver's distraction when evaluating four video sequences with different drivers.

show abstract

The psychophysiological determinants of fatigue

Cited by 45 publications

References 49 publications

The effect of long-term cognitive load on the EEG parameters

The effect of long-term cognitive load on the EEG parameters

Catastrophic Injury and Its Association With Negative Mood States

Video surveillance for monitoring driver's fatigue and distraction

Contact Info

Product

Resources

About