Behavioral and physiological indices of fatigue in a visual tracking task

Mascord, D J; Heath, Richard A.

doi:10.1016/0022-4375(92)90036-9

Cited by 55 publications

(33 citation statements)

References 14 publications

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“…In the psychological literature, increased LF-HRV has previously been related to fatigue and attentional deficits (Egelund, 1982; Mascord and Heath, 1992; Fairclough and Graham, 1999). This may provide an explanation of our findings, as lowered attentional capacity may lead to shorter encoded durations (Zakay and Block, 1995), or stronger temporal context effects and a regression to the mean of the sample durations (Jazayeri and Shadlen, 2010).…”

Section: Discussionmentioning

confidence: 99%

Cardiac Signals Are Independently Associated with Temporal Discounting and Time Perception

Fung

Crone

Bode

et al. 2017

Front. Behav. Neurosci.

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Cardiac signals reflect the function of the autonomic nervous system (ANS) and have previously been associated with a range of self-regulatory behaviors such as emotion regulation and memory recall. It is unknown whether cardiac signals may also be associated with self-regulation in the temporal domain, in particular impulsivity. We assessed both decision impulsivity (temporal discounting, TD) and time perception impulsivity (duration reproduction, DR) in 120 participants while they underwent electrocardiography in order to test whether cardiac signals were related to these two aspects of impulsivity. We found that over the entire period of task performance, individuals with higher heart rates had a tendency toward lower discount rates, supporting previous research that has associated sympathetic responses with decreased impulsivity. We also found that low-frequency components of heart rate variability (HRV) were associated with a less accurate perception of time, suggesting that time perception may be modulated by ANS function. Overall, these findings constitute preliminary evidence that autonomic function plays an important role in both decision impulsivity and time perception.

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Section: Discussionmentioning

confidence: 99%

Cardiac Signals Are Independently Associated with Temporal Discounting and Time Perception

Fung

Crone

Bode

et al. 2017

Front. Behav. Neurosci.

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“…Fatigue is major problem in road safety because it: (a) increases the likelihood that drivers will fall asleep at the wheel and (b) decreases one's ability to maintain essential sensory motor skills such as maintaining road position as well as appropriate speed (Mackie and Miller, 1978). During fatigue, the decreased physiological arousal, slowed sensorimotor functions and impaired information processing can diminish a driver's ability to respond effectively to unusual or emergency situations (Mascord and Heath, 1992). Recently, in a review from the International consensus meeting on fatigue and risk of traffic accidents, Å kerstedt and Haraldsson (2001) identified disturbed sleep, working at the low of the circadian rhythm and sleep apnea as some of the factors associated with fatigue related accidents.…”

Section: Introductionmentioning

confidence: 99%

Reproducibility of the spectral components of the electroencephalogram during driver fatigue

Lal

Craig

2005

International Journal of Psychophysiology

100

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“…It also requires completely clean grain samples, because the sensor registers small impurities. The standard deviation of the time required for visual and counter recording of the number of grains increased to a larger sample size, which is indicative of fatigue, according to Mascord and Heath (1992), the standard deviation and the time it takes for individuals to react, increases as time performing a monotonous and repetitive task increases.…”

Section: Resultsmentioning

confidence: 99%

Tamaño y número de granos de trigo analizados mediante procesamiento de imagen digital

Acosta

Mir

García

et al. 2017

Remexca

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El registro visual del número y tamaño de grano utiliza muestras limitadas, provoca cansancio e incremento de error; inconvenientes que pueden solventarse con el procesamiento y análisis de imágenes digitales (PAID) propuesto en esta investigación. Para ello, se utilizaron semillas de cinco cultivares de trigo duro (Triticum durum Desf.) y cinco harineros (Triticum aestivum L.). Se obtuvieron imágenes con escáner. El PAID se realizó con ImageJ 1.49b, se midió largo, ancho, tamaño y número de granos en 317 muestras. El tiempo para el registro de granos se comparó entre conteo visual, PAID y contador electromecánico. Se efectuaron análisis de correlación, X2, ANDEVA, y comparación de medias. El tamaño de grano harinero fue de 15.41 a 18.37 mm2, en duros de 17.82 a 19.6 mm2 (DMS= 0.385, p≤ 0.01), éstos son más largo (>7.1 mm; p≤ 0.01), pero de menor ancho (DMS= 0.043, p≤ 0.05). El número de granos observados y los calculados presentaron concordancia (X2= 2.73, p= 1) y estrecha correlación (rs= 1, p≤ 0.01). El contador y el registro visual del número de granos mostraron incremento lineal de tiempo conforme aumentó el tamaño de muestra, mientras que el PAID requiere aproximadamente 55 s. El procesamiento de imágenes facilita las dimensiones individuales de granos agrupados y es una herramienta precisa y rápida para analizar el tamaño y número de granos de trigo.

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Behavioral and physiological indices of fatigue in a visual tracking task

Cited by 55 publications

References 14 publications

Cardiac Signals Are Independently Associated with Temporal Discounting and Time Perception

Cardiac Signals Are Independently Associated with Temporal Discounting and Time Perception

Reproducibility of the spectral components of the electroencephalogram during driver fatigue

Tamaño y número de granos de trigo analizados mediante procesamiento de imagen digital

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