Academic literature on the topic 'Mental fatigue'

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Journal articles on the topic "Mental fatigue"

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Buunk, A. M., F. F. Siebenga, M. C. A. Kramer, F. Gelens, F. Gelmers, S. E. Rakers, I. Bosma, et al. "P01.08.B MENTAL FATIGUE IN PATIENTS WITH LOW-GRADE GLIOMA: ASSOCIATIONS WITH NEUROCOGNITIVE FUNCTIONING AND TUMOR CHARACTERISTICS." Neuro-Oncology 25, Supplement_2 (September 1, 2023): ii27—ii28. http://dx.doi.org/10.1093/neuonc/noad137.082.

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Abstract BACKGROUND Fatigue is a frequent consequence of low-grade glioma (LGG), but the causes are still barely understood. Specifically mental fatigue might be related to cognitive impairment such as mental slowness and decreased attention. Also, patients with greater tumor volumes or tumors in certain locations (such as the frontal cortex) might have more cognitive impairments and experience more fatigue. The aim of the present study was twofold: (1) to examine the relationship between mental fatigue and information processing speed and complex attention and (2) to investigate the associations between mental fatigue and tumor volume and location in patients with LGG. MATERIAL AND METHODS 124 patients with LGG (IDH mutated astrocytoma and oligodendroglioma grade 2 and 3) were included before the start of proton therapy. Different facets of fatigue, including mental fatigue, were measured after surgery, with a multidimensional fatigue scale, the Dutch Multifactor Fatigue Scale (DMFS). The Vienna Test System was used to examine simple information processing speed, response inhibition, and divided attention. Tumor location and tumor volume (radiation target volume) were scored on the pre-radiotherapy MRI scan. Descriptive statistics, Spearman’s correlations, and between group comparisons were performed. RESULTS 41% of patients with LGG reported severe mental fatigue. No significant differences were found in mean performance on simple information processing speed, response inhibition and divided attention between severely mental fatigued patients and non-severely mental fatigued patients. However, the percentage of patients with impaired divided attention was significantly higher in the severely mental fatigued group (39%) compared to the non-severely mental fatigued group (16.2%), χ2 = 7.6, p < 0.05. No significant relationships were found between mental fatigue and tumor volume and location. Also, tumor location was not related to neurocognitive functioning, but larger tumor volume was significantly associated with poorer performance on divided attention (r = -0.19, p < 0.05). CONCLUSION A high rate of mental fatigue was found in patients with LGG. Furthermore, a relationship between impaired divided attention and severe mental fatigue was found. This implies that patients may develop mental fatigue due to increased cognitive efforts to compensate for attentional deficits. This might be especially important in patients with larger tumors, considering the relationship between tumor volume and divided attention. The results stress the importance of neuropsychological assessment in this patient group before the start of adjuvant treatment, to timely offer individual rehabilitation.
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Vargovics, Marina, and Árpád Csathó. "The multidimensional nature of fatigue." Mentálhigiéné és Pszichoszomatika 10, no. 3 (September 2009): 181–207. http://dx.doi.org/10.1556/mental.10.2009.3.1.

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Marcora, Samuele M., Walter Staiano, and Victoria Manning. "Mental fatigue impairs physical performance in humans." Journal of Applied Physiology 106, no. 3 (March 2009): 857–64. http://dx.doi.org/10.1152/japplphysiol.91324.2008.

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Mental fatigue is a psychobiological state caused by prolonged periods of demanding cognitive activity. Although the impact of mental fatigue on cognitive and skilled performance is well known, its effect on physical performance has not been thoroughly investigated. In this randomized crossover study, 16 subjects cycled to exhaustion at 80% of their peak power output after 90 min of a demanding cognitive task (mental fatigue) or 90 min of watching emotionally neutral documentaries (control). After experimental treatment, a mood questionnaire revealed a state of mental fatigue ( P = 0.005) that significantly reduced time to exhaustion (640 ± 316 s) compared with the control condition (754 ± 339 s) ( P = 0.003). This negative effect was not mediated by cardiorespiratory and musculoenergetic factors as physiological responses to intense exercise remained largely unaffected. Self-reported success and intrinsic motivation related to the physical task were also unaffected by prior cognitive activity. However, mentally fatigued subjects rated perception of effort during exercise to be significantly higher compared with the control condition ( P = 0.007). As ratings of perceived exertion increased similarly over time in both conditions ( P < 0.001), mentally fatigued subjects reached their maximal level of perceived exertion and disengaged from the physical task earlier than in the control condition. In conclusion, our study provides experimental evidence that mental fatigue limits exercise tolerance in humans through higher perception of effort rather than cardiorespiratory and musculoenergetic mechanisms. Future research in this area should investigate the common neurocognitive resources shared by physical and mental activity.
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Brietzke, Cayque, Paulo Estevão Franco-Alvarenga, Raul Canestri, Márcio Fagundes Goethel, Ítalo Vínicius, Vitor de Salles Painelli, Tony Meireles Santos, Florentina Johanna Hettinga, and Flávio Oliveira Pires. "Carbohydrate Mouth Rinse Mitigates Mental Fatigue Effects on Maximal Incremental Test Performance, but Not in Cortical Alterations." Brain Sciences 10, no. 8 (July 29, 2020): 493. http://dx.doi.org/10.3390/brainsci10080493.

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Detrimental mental fatigue effects on exercise performance have been documented in constant workload and time trial exercises, but effects on a maximal incremental test (MIT) remain poorly investigated. Mental fatigue-reduced exercise performance is related to an increased effort sensation, likely due to a reduced prefrontal cortex (PFC) activation and inhibited spontaneous behavior. Interestingly, only a few studies verified if centrally active compounds may mitigate such effects. For example, carbohydrate (CHO) mouth rinse potentiates exercise performance and reduces effort sensation, likely through its effects on PFC activation. However, it is unknown if this centrally mediated effect of CHO mouth rinse may mitigate mental fatigue-reduced exercise performance. After a proof-of-principle study, showing a mental fatigue-reduced MIT performance, we observed that CHO mouth rinse mitigated MIT performance reductions in mentally fatigued cyclists, regardless of PFC alterations. When compared to placebo, mentally fatigued cyclists improved MIT performance by 2.24–2.33% when rinsing their mouth with CHO during MIT. However, PFC and motor cortex activation during MIT in both CHO and placebo mouth rinses were greater than in mental fatigue. Results showed that CHO mouth rinse mitigated the mental fatigue-reduced MIT performance, but challenged the role of CHO mouth rinse on PFC and motor cortex activation.
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Torres, Carlos Cesar Cortes, Kota Sampei, and Norihisa Miki. "2A1-H08 Unobtrusive eye-tracker optical sensor to assess mental fatigue : Assess mental fatigue by using NASA TLX protocol." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _2A1—H08_1—_2A1—H08_2. http://dx.doi.org/10.1299/jsmermd.2015._2a1-h08_1.

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Tsai, Ming-Kuan. "Enhancing nuclear power plant safety via on-site mental fatigue management." Nuclear Technology and Radiation Protection 32, no. 1 (2017): 109–14. http://dx.doi.org/10.2298/ntrp1701109t.

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Nuclear incidents and accidents have occurred at various nuclear power plants. Since some of these incidents and accidents caused by human errors might be preventable, numerous researchers argue that fatigue management for on-site workers is the key, especially for mental fatigue. Thus, this study proposes an approach consisting of two mechanisms. A fatigue monitor could identify the mentally fatigued workers by detecting their brain wave rhythms through a brain-computer interface. For such workers, a fatigue alert would awaken them. If the status of the mentally fatigued workers becomes worse, based on a positioning technique (i.e., wireless networks), this mechanism would alert the nearby workers and managers to deal with this condition. The test results indicate that the proposed approach enhanced the capacity to examine the mentally fatigued workers, ensured the accuracy in locating these workers, and avoided possible nuclear incidents. This study is a useful reference for similar applications in the nuclear industry.
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Kunasegaran, Kaveena, Ahamed Miflah Hussain Ismail, Shamala Ramasamy, Justin Vijay Gnanou, Brinnell Annette Caszo, and Po Ling Chen. "Understanding mental fatigue and its detection: a comparative analysis of assessments and tools." PeerJ 11 (August 23, 2023): e15744. http://dx.doi.org/10.7717/peerj.15744.

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Mental fatigue has shown to be one of the root causes of decreased productivity and overall cognitive performance, by decreasing an individual’s ability to inhibit responses, process information and concentrate. The effects of mental fatigue have led to occupational errors and motorway accidents. Early detection of mental fatigue can prevent the escalation of symptoms that may lead to chronic fatigue syndrome and other disorders. To date, in clinical settings, the assessment of mental fatigue and stress is done through self-reported questionnaires. The validity of these questionnaires is questionable, as they are highly subjective measurement tools and are not immune to response biases. This review examines the wider presence of mental fatigue in the general population and critically compares its various detection techniques (i.e., self-reporting questionnaires, heart rate variability, salivary cortisol levels, electroencephalogram, and saccadic eye movements). The ability of these detection tools to assess inhibition responses (which are sensitive enough to be manifested in a fatigue state) is specifically evaluated for a reliable marker in identifying mentally fatigued individuals. In laboratory settings, antisaccade tasks have been long used to assess inhibitory control and this technique can potentially serve as the most promising assessment tool to objectively detect mental fatigue. However, more studies need to be conducted in the future to validate and correlate this assessment with other existing measures of mental fatigue detection. This review is intended for, but not limited to, mental health professionals, digital health scientists, vision researchers, and behavioral scientists.
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Khojasteh Moghani, Milad, Rasool Zeidabadi, Mohammad Reza Shahabi Kaseb, and Iman Bahreini Borujeni. "Mental Fatigue Reduces the Benefits of Self-Controlled Feedback on Learning a Force Production Task." Perceptual and Motor Skills 128, no. 5 (August 2, 2021): 2398–414. http://dx.doi.org/10.1177/00315125211037306.

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This study investigated the impact of mental fatigue and self-controlled versus yoked feedback on learning a force production task. We randomly assigned 44 non-athlete male students (Mage = 21.4, SD = 1.4 years) to four groups; (a) MF&SCF = mental fatigue & self-controlled feedback, (b) MF&Y = mental fatigue & yoked, (c) NMF&SCF = no mental fatigue & self-controlled feedback, and (d) NMF&Y = no mental fatigue & yoked). SCF group participants were provided feedback whenever they requested it, while YK group participants received feedback according to a schedule created by their SCF counterparts. To induce mental fatigue, participants performed a Stroop color-word task for one hour. During the acquisition (practice) phase, participants were asked to produce a given percentage of their maximum force (20%) in 12 blocks of six trials. We recorded the participants’ absolute error at the end of the acquisition phase, the immediate retention test, the first transfer test, and the second transfer test (after 24 hours and without any further mental fatigue). The acquisition phase data were analyzed in a 2 (feedback) × 2 (mental fatigue) × 12 (block) ANOVA with repeated measures on the last factor, while the retention and transfer data were analyzed in 2 (feedback) × 2 (mental fatigue) ANOVAs. We found that all four groups made significant progress during practice ( p < .001), but there were no significant group differences during this phase ( p>.05). There was a significant interaction effect of self-controlled feedback and mental fatigue at retention ( p = .018) and transfer testing ( p < .001). In the mental fatigue condition, participants in the self-controlled group had poorer learning compared to participants in the yoked group; but when not mentally fatigued, participants in the self-controlled group had better learning than those in the yoked group. These findings suggest that mental fatigue reduces typical advantages of self-controlled feedback in motor learning.
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Paolillo, Emily W., Bin Tang, Colin A. Depp, Alexandra S. Rooney, Florin Vaida, Christopher N. Kaufmann, Brent T. Mausbach, David J. Moore, and Raeanne C. Moore. "Temporal Associations Between Social Activity and Mood, Fatigue, and Pain in Older Adults With HIV: An Ecological Momentary Assessment Study." JMIR Mental Health 5, no. 2 (May 14, 2018): e38. http://dx.doi.org/10.2196/mental.9802.

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Background Social isolation is associated with an increased risk for mental and physical health problems, especially among older persons living with HIV (PLWH). Thus, there is a need to better understand real-time temporal associations between social activity and mood- and health-related factors in this population to inform possible future interventions. Objective This study aims to examine real-time relationships between social activity and mood, fatigue, and pain in a sample of older PLWH. Methods A total of 20 older PLWH, recruited from the University of California, San Diego HIV Neurobehavioral Research Program in 2016, completed smartphone-based ecological momentary assessment (EMA) surveys 5 times per day for 1 week. Participants reported their current social activity (alone vs not alone and number of social interactions) and levels of mood (sadness, happiness, and stress), fatigue, and pain. Mixed-effects regression models were used to analyze concurrent and lagged associations among social activity, mood, fatigue, and pain. Results Participants (mean age 58.8, SD 4.3 years) reported being alone 63% of the time, on average, (SD 31.5%) during waking hours. Being alone was related to lower concurrent happiness (beta=−.300; 95% CI −.525 to −.079; P=.008). In lagged analyses, social activity predicted higher levels of fatigue later in the day (beta=−1.089; 95% CI −1.780 to −0.396; P=.002), and higher pain levels predicted being alone in the morning with a reduced likelihood of being alone as the day progressed (odds ratio 0.945, 95% CI 0.901-0.992; P=.02). Conclusions The use of EMA elucidated a high rate of time spent alone among older PLWH. Promoting social activity despite the presence of pain or fatigue may improve happiness and psychological well-being in this population.
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Ding, Cong, Soh Kim Geok, He Sun, Samsilah Roslan, Shudian Cao, and Yue Zhao. "Does music counteract mental fatigue? A systematic review." PLOS ONE 20, no. 1 (January 3, 2025): e0316252. https://doi.org/10.1371/journal.pone.0316252.

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Introduction Mental fatigue, a psychobiological state induced by prolonged and sustained cognitive tasks, impairs both cognitive and physical performance. Several studies have investigated strategies to counteract mental fatigue. However, potential health risks and contextual restrictions often limit these strategies, which hinder their practical application. Due to its noninvasive and portable nature, music has been proposed as a promising strategy to counteract mental fatigue. However, the effects of music on performance decrements vary with different music styles. Synthesizing studies that systematically report music style and its impact on counteracting performance decrements is crucial for theoretical and practical applications. Objectives This review aims to provide a comprehensive systematic analysis of different music styles in counteracting mental fatigue and their effects on performance decrements induced by mental fatigue. Additionally, the mechanisms by which music counteracts mental fatigue will be discussed. Methods A comprehensive search was conducted across five databases—Web of Science, PubMed, SCOPUS, SPORTDiscus via EBSCOhost, and the Psychological and Behavioral Sciences Collection via EBSCOhost—up to November 18, 2023. The selected studies focused solely on music interventions, with outcomes including subjective feelings of mental fatigue, physiological markers, and both cognitive and behavioral performance. Results Nine studies met the predetermined criteria for inclusion in this review. The types of music interventions that counteract mental fatigue include relaxing, exciting, and personal preference music, all of which were associated with decreased subjective feelings of mental fatigue and changes in objective physiological markers. Cognitive performance, particularly in inhibition and working memory tasks impaired by mental fatigue, was countered by both relaxing and exciting music. Exciting music was found to decrease reaction time more effectively than relaxing music in working memory tasks. The physiological marker of steady-state visually evoked potential-based brain-computer interface (SSVEP-BCI) amplitude increased, confirming that exciting music counteracts mental fatigue more effectively than relaxing music. Behavioral performance in tasks such as arm-pointing, the Yo-Yo intermittent test, and the 5 km time-trial, which were impaired by mental fatigue, were counteracted by personal preference music. Conclusion Relaxing music, exciting music, and personal preference music effectively counteract mental fatigue by reducing feelings of fatigue and mitigating performance decrements. Individuals engaged in mentally demanding tasks can effectively counteract concurrent or subsequent cognitive performance decrements by simultaneously listening to relaxing or exciting music without lyrics or by using music during recovery from mental fatigue. Exciting music is more effective than relaxing music in counteracting mental fatigue. Personal preference music is effective in counteracting behavioral performance decrements in motor control and endurance tasks. Mentally fatigued individuals could apply personal preference music to counteract subsequent motor control performance decrements or simultaneously listen to it to counteract endurance performance decrements. Future studies should specify and examine the effects of different music genres, tempos, and intensities in counteracting mental fatigue. Additionally, the role of music in counteracting mental fatigue in contexts such as work productivity, traffic accident risk, and sports requires further investigation, along with the underlying mechanisms.
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Dissertations / Theses on the topic "Mental fatigue"

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Dickson, Blair Thomas. "Neurophysiological markers of vigilance and mental fatigue." Thesis, University of Bristol, 1998. http://hdl.handle.net/1983/80f9e7d0-7dd3-4b15-9244-2b101c9cc1a6.

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Jahandideh, Sina. "Job Scheduling Considering Both Mental Fatigue and Boredom." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/20637.

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Numerous aspects of job scheduling in manufacturing systems have been the focus of several studies in the past decades. However, human factors in manufacturing systems such as workers’ mental conditions are still neglected issues and have not received adequate attentions. Job boredom and mental fatigue are both aspects of workers’ mental condition. They affect work performances by increasing sick leave duration and decreasing work productivity. On the other hand, job rotation could be an alternative strategy to cope with such human issues at work. The benefits of job rotation for both employees and firms have been widely recognized in the literature. Although some studies found job rotation as a means to reduce workers' physical work-related traumas, they did not consider the effect of variable mental conditions on workers. Despite the proven importance of boredom and mental fatigue at the workplace, they have not been a combined precise objective of any job rotation problem in current literature. The study of mental conditions proposed in this paper attempts to extend the previous works by addressing new methods and developing a feasible solution to increase manufacturing productivity. A new job scheduling program has been designed specifically which combines a new job rotation model and a job assignment method.
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Andrews, Charles H. "The relationship between sleep regimen and performance in United States Navy recruits." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sept%5FAndrews.pdf.

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Wu, Cheng Kam-chee Polina, and 胡鄭金枝. "The effect of mental training in delaying muscle fatigue." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B29768585.

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Amatya, Pooja Laxmi. "Self-Compassion and Compassion Fatigue in Mental Health Professionals." Xavier University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=xavier1493311585146183.

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Wu, Cheng Kam-chee Polina. "The effect of mental training in delaying muscle fatigue /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23294991.

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Kadambi, Pooja. "Brain Computer Interface for Fatigue Assessment." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1393237787.

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Ferreira, Dias Kanthack Thiago. "Interdependent relationships between the mental representation and psychophysiological correlates of action." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE1166/document.

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L’objectif de ce travail était d’apporter des données encore inconnu sur la relation entre les corrélats neurophysiologiques de l’action et la représentation mentale. Un ensemble de six expérimentations ont été menées. Celles-ci nous ont permis de mieux comprendre les modalités d’utilisation de l’imagerie motrice qu’elle soit concomitante ou réaliser après la pratique réelle. Les effets de la pratique physique sur la capacité d’utilisation de l’imagerie motrice ont aussi été explorés. Nos résultats montrent que l’imagerie motrice est très efficace, qu’elle soit pratiquée de manière concomitante à la pratique réelle ou après celle-ci lorsque la fatigue physique est importante. Nous démontrons que des capacités d’imagerie élevées ne sont pas systématiquement reliées à une amélioration de la performance. De manière inédite nous démontrons que la pratique réelle peut–être bénéfique pour la capacité d’imagerie motrice d’une habilité fortement automatisée. De plus, des sessions de pratique physique prolongées et intermittentes semblent plus perturber la capacité d’imagerie motrice qu’une pratique continue. L’ensemble de ces résultats est une contribution importante aux connaissances relatives à l’utilisation de l’imagerie motrice dans la réhabilitation ou encore dans la pratique physique
The main purpose of the present work was to add substantial data regarding the psychophysiological correlates of action with respective mental representation. A total of six experimental protocols were developed to understand the mechanisms of using motor imagery concomitant and after actual practice, and the effects of exercise on motor imagery ability. According to our findings, motor imagery can very be usefull when performed concomitant with actual practice and even after an exercise session, when fatigue is most present. We demonstrate that higher levels of motor imagery ability are not always linked with greater performance enhancement. Unprecedentedly, we reported that an exercise session might even be beneficial for motor imagery ability of high-automated task. In addition, prolonged intermittent exercise session are more likely to impair motor imagery ability in comparison with continuous exercise. These findings are of special interest of sports coaches and rehabilitation professionals, which usually incorporate motor imagery into their physical training sessions
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Al-Libawy, H. A. "Detection, prediction and modelling of mental fatigue in naturalistic environment." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3015856/.

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Operator mental fatigue in workplace can result in serious mistakes which have dangerous and life-threatening consequences. Fatigue assessment and prediction are, therefore, considered critical safety requirements that cut across modes and operations of numerous high-risk environments and industries such as nuclear and transportation. However, robust, accurate and timely assessment of fatigue (or alertness) is still a challenging task for many reasons. The majority of operator fatigue studies are still being carried out in simulation environments, overlooking operator's naturalistic behaviour and fatigue growth. Moreover, most of the available systems rely on using a single fatigue-related data source, which is clearly a major drawback that affects operation, performance, accuracy and reliability of the system in case this source fails. With multi-data sources in an integrated system, the system might stop working in the event of losing one or more data sources or at least becomes inaccurate or unreliable. Furthermore, paying no attention to human individual differences working as an operator in mission-critical jobs related to fatigue growth and in response to fatigue deleterious effect is another serious issue with the current fatigue assessment and prediction systems. The research work presented in this thesis proposes a novel fatigue assessment approach, which addresses the aforementioned issues with fatigue detection and prediction system. This is achieved by developing and realising algorithms based on data collected from participants in naturalistic environments. Numerous experiments have been conducted to cover a wide range of fatigue-related tasks which are broadly grouped into two categories: biological and behavioural (performance) experiments. The biological-based experiments employ various data types such as heart rate, skin temperature, skin conductance and heart rate variability. These fatigue-related data types are used to build the proposed fatigue detection system, and the obtained results have demonstrated high accuracy and reliability (94.5% accuracy in naturalistic environments). The behavioural-based category includes two experiments: keyboard typing and driving task. The typing experiments have been carried out using computer keyboard and smartphone virtual keyboard, and have confirmed enhanced operator fatigue detection accuracy (94%). The driving experiments were conducted in naturalistic driving environments, and the used algorithms have demonstrated a new framework for driver fatigue detection using smartphone inertial sensors based on a novel vehicle heading algorithm. A prototype system was designed and built with a modular structure so as to allow the addition of multiple fatigue-related biological and behavioural sources. This modular structure was tested under different situations that involve losing one or more sources. In addition, the circadian rhythm, which is a main input to fatigue/alert regulators, was customised for each operator and modelled based on biological data collected from wearable devices. The constructed model captures individual differences of operators, which is a challenge in current systems. Such multi-source, modular and non-intrusive approach for fatigue/alertness assessment and prediction is expected to be of superior performance, low-cost and favourable by users compared to existing systems. Furthermore, it addresses other challenges of current fatigue systems by carrying out fatigue assessment in naturalistic environments and considering operator individual differences in response to fatigue. In addition, the modular structure of the proposed system helps improving robustness and accuracy against losing one or more input sources (accuracy for 4 sources: 91%, 3 sources: 87%, 2 sources: 77%). Following the proposed approach will definitely enhance the reliability of fatigue assessment systems, improve operator safety, productivity and reduce financial fatigue impacts. Moreover, the proposed system has proven to be non-intrusive in nature and of low implementation cost. The results obtained after testing the proposed system have been very promising to support the aforementioned benefits.
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Flindall, Ian Richard. "Acute mental fatigue and cognitive performance in the medical profession." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/46165.

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Fatigue induced deterioration in cognition has significant implications for working practice within the National Health Service. Although attitudes are changing, few safety measures have been implemented to reduce fatigue related error. The World Health Organisation Operative Checklist is one error prevention strategy developed to address error preoperatively. With rising negligence costs there is an argument for error rates persisting, if not increasing, despite the European Working Time Directive (EWTD). Although work hour limitations have attempted to be met by employers, the ability to take four hourly breaks is not easily manageable or regulated due to impingement by patient care. Requests by employers for staff to opt out of the EWTD have occurred due to the system being unable to function within the directive. Fatigue caused through variations in circadian rhythms is not accounted for by the EWTD. Fatigue is a recognised cause of memory lapses, impaired communication and judgement. Individuals can experience emotional blunting, lapses in attention and experience difficulty in maintaining focus. Public complaints reflect the aspects of care that they see. The fatigue related breakdown in inter-personal skills is certainly a contributing factor. Clinical information forms the basis for decisions on which we act. Inaccurate information, uncertainty in our recollection or inability to recall important facts can place patient safety at risk. This thesis investigates the impact of fatigue on the recall of clinical information in the non-sleep deprived state. Chapter 1 is the introduction and discusses the principles of the National Health Service (NHS) and why acute mental fatigue should be prevented, Chapter 2 introduces the concept of “memory” and the theories to its mechanism of action. It provides background on the approach to improving the recall of information. Chapter 3 is a systematic review of Acute Mental Fatigue in the non-sleep deprived state and highlights the impact of fatigue within healthcare organisations. Chapter 4 describes neuroenhancement and reviews the pharmacological agent Modafinil, discussing its possible applications for use in cognitive fatigue. Chapter 5 is a survey to provide background levels of fatigue in NHS doctors post EWTD. Chapter 6 is a randomised crossover study investigating recall of clinical information in the mentally fatigued, non-sleep deprived state. The subsequent Chapter 8 and 9 develop cognitive and pharmaceutical intervention strategies to improve recall of clinical information. Chapter 8 investigates the recall of clinical information after a working day in a randomised crossover study comparing a computerised handover checklist (using cognitive cues) to current handover methodology. Chapter 9 compares neuropharmacology to cognitive strategies of cue based recall to enhance recall of clinical information. Finally, the discussion in Chapter 10 reflects on the strengths and weaknesses of these studies and possible implications for the clinical practice.
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Books on the topic "Mental fatigue"

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Monteiro, Thiago Gabriel, and Houxiang Zhang. Mental Fatigue Assessment in Demanding Marine Operations. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3072-8.

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Kirshenbaum, Mira. The emotional energy factor: The secrets high-energy people use to beat emotional fatigue. New York: Bantam Dell, 2004.

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J, Green William. Fatigue free: How to revitalize your life. New York: Plenum Press, 1992.

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J, Green William. Fatigue free: How to revitalize your life. [Breinigsville, PA]: Da Capo Press, 2010.

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Center, Ames Research, ed. Mental workload measurement: Event-related potentials and ratings of workload and fatigue. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1985.

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Gorman, Martha Garcey. Psycho-physiology of fatigue: Subject analysis & reference guidebook with bibliography. Washington, D.C: ABBE Publishers Association, 1987.

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Olivares, Mario Ortega. Productividad y fatiga laboral: Diez hipótesis de sociología médica sobre riesgos del trabajo. México, D.F: Universidad Autónoma Metropolitana--Xochimilco, División de Ciencias Sociales y Humanidades, Departamento de Relaciones Sociales, 1996.

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Copyright Paperback Collection (Library of Congress) and McGuire Patricia L, eds. Light up your blues: A guide to overcoming seasonal depression and fatigue. New York: Berkley Books, 1989.

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Heslegrave, Ronald James. Fatigue management: A guide for Canadian Coast Guard managers, officers and crew. Ottawa, Ont: Canadian Coast Guard, 1999.

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1950-, Goodnick Paul J., and Klimas Nancy G. 1954-, eds. Chronic fatigue and related immune deficiency syndromes. Washington, DC: American Psychiatric Press, 1993.

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Book chapters on the topic "Mental fatigue"

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Phillips, Shaun. "Mental fatigue." In Fatigue in Sport and Exercise, 202–25. 2nd ed. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003326137-9.

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Monteiro, Thiago Gabriel, and Houxiang Zhang. "Mental Fatigue Prediction." In Mental Fatigue Assessment in Demanding Marine Operations, 95–107. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3072-8_6.

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Chen, Fang, and Jacques Terken. "Mental Load and Fatigue." In Springer Tracts in Mechanical Engineering, 65–81. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3448-3_4.

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Monteiro, Thiago Gabriel, and Houxiang Zhang. "Handling Fatigue." In Mental Fatigue Assessment in Demanding Marine Operations, 11–23. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3072-8_2.

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Monteiro, Thiago Gabriel, and Houxiang Zhang. "Mental Fatigue Assessment Sensor Framework." In Mental Fatigue Assessment in Demanding Marine Operations, 25–49. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3072-8_3.

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Larkin, Derek, and Colin R Martin. "Probiotics and Chronic Fatigue Syndrome." In Probiotics in Mental Health, 9–20. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018] | “Ascience publishers book.”: CRC Press, 2018. http://dx.doi.org/10.1201/9780429458873-2.

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Wessely, S. "Chronic Fatigue Syndrome." In Basic and Clinical Science of Mental and Addictive Disorders, 21–28. Basel: KARGER, 1997. http://dx.doi.org/10.1159/000059526.

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Monteiro, Thiago Gabriel, and Houxiang Zhang. "Mental Fatigue Assessment Using Artificial Intelligence." In Mental Fatigue Assessment in Demanding Marine Operations, 51–80. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3072-8_4.

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Bauman, Sheri, and Ian Rivers. "Information Overload and Zoom Fatigue." In Mental Health in the Digital Age, 109–26. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32122-1_6.

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Loch, Fabian, Sarah Jakowski, Annika Hof zum Berge, and Kellmann Michael. "Mental fatigue and the concept of mental recovery in sport." In Recovery and Well-being in Sport and Exercise, 187–200. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003258117-16.

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Conference papers on the topic "Mental fatigue"

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Westfield, Paul. "Working Memory Capacity, Mental Fatigue, and Human Performance." In International Conference on Cognitive Aircraft Systems, 126–33. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0013152600004562.

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Zhu, Liufeng, Yifei Feng, Yi Liu, Bo Hu, Wei Xu, Xinge Feng, Lina Liu, and Ying He. "HRV Related to Mental Fatigue Obtained Based on MZI-BCG Cushion." In 2024 22nd International Conference on Optical Communications and Networks (ICOCN), 1–2. IEEE, 2024. http://dx.doi.org/10.1109/icocn63276.2024.10648406.

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Chen, Jianan, Yunjia Xia, Alexander Thomas, Tom Carlson, and Hubin Zhao. "Mental Fatigue Classification with High-Density Diffuse Optical Tomography: A Feasibility Study." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1–5. IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782566.

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Božović, Branislav, and Miloš Milošević. "Software Solutions for Studying Mental Fatigue." In Sinteza 2022. Beograd, Serbia: Singidunum University, 2022. http://dx.doi.org/10.15308/sinteza-2022-281-286.

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Samsami, M. Mahdi, Seyyed Mohammad P. Firoozabadi, and Ali Gooya. "A morphological approach for mental fatigue assessment." In 2013 20th Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2013. http://dx.doi.org/10.1109/icbme.2013.6782225.

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Liu, Yisi, Zirui Lan, Jian Cui, Olga Sourina, and Wolfgang Muller-Wittig. "EEG-Based Cross-Subject Mental Fatigue Recognition." In 2019 International Conference on Cyberworlds (CW). IEEE, 2019. http://dx.doi.org/10.1109/cw.2019.00048.

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Aoki, Kyota. "Mental Fatigue Measurement using Visual Synchronization Tasks." In ICBBS '17: 6th International Conference on Bioinformatics and Biomedical Science. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3121138.3121164.

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MA, Feng, Yi XIAO, Gui CAI, Feng-gang XU, and Shan-guang CHEN. "Effect of Mental Fatigue on Error Monitoring." In 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/bbe-17.2017.46.

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Yu, Qichao, Xianxin Ke, Dezhi Yang, Wenzhen Zhang, and Banghua Yang. "Mental fatigue testing based on deep learning." In 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2020. http://dx.doi.org/10.1109/itaic49862.2020.9338854.

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Giorgi, Andrea, Vincenzo Ronca, Alessia Vozzi, Pietro Aricò, Gianluca Borghini, Luca Tamborra, Ilaria Simonetti, et al. "Multimodal characterization of mental fatigue on professional drivers." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003009.

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A non-adequate psychophysical condition represents a major factor in causing car accidents. In particular, 20% of car crashes are caused by mental fatigue and drowsiness, with dramatic consequences and fatalities. Nowadays strategies to reduce the risks while driving. The on-board systems equipping current vehicles are not able to intervene before the sudden onset of drowsy episodes and are affected by a poor accuracy resulting in several events’ misclassifications (i.e., false positive) causing drivers’ mistrust of technology.Being able to recognise in advance the occurrences of fatigue and drowsiness episodes would dramatically increase road safety and reduce car crashes. This is extremely relevant especially for professional drivers who drive for prolonged periods leading to an increase of risks due to not-proper psychophysical conditions. Even if professional drivers are trained to prevent, recognise, and minimize the effect of fatiguing, it must be considered that often the driver becomes conscious of drowsiness and mental fatigue onset too late, that is when it is already driving in a not-safe condition. The aim of this study was to adopt a multimodal approach to characterize the initial phases of fatigued mental state while driving, to develop an effective and timely detecting methodology. Ten volunteer professional drivers have been recruited to take part in an experimental protocol, performed in a car simulator. The experiment took place in the afternoon to increase the chance of eliciting mental fatigue and it consisted in driving for 45 minutes in a monotonous city-like environment. Before performing the monotonous driving task, participants were asked to drive for 15 minutes in a high-difficulty track race to induce fatigue, increasing the probability of a not-adequate psychophysical condition during the following monotonous driving task. Aiming at developing a neurophysiological model for mental fatigue characterization, a multimodal neurophysiological assessment was performed collecting the Electroencephalographic (EEG) and Electroculographic (EOG) signals. In parallel, behavioural assessment was performed through a secondary reaction task to detect eventual variation of performance from individual normal levels because of an altered psychophysical condition. Subjective measures were collected as well for the self-assessment of both fatigue and drowsiness state and task perception (high vs low demand). Behavioural and subjective measures have been so employed to (i) validate the experimental design; and to (ii) support and validate the employment of neurophysiological measures for characterizing the mental fatigue.
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Reports on the topic "Mental fatigue"

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Pan, Xiaoyang. Mental Fatigue in Golf:A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2024. http://dx.doi.org/10.37766/inplasy2024.1.0111.

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Cao, Shudian, and Kim Geok Soh. Mental Fatigue and Basketball Performance: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0017.

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Cao, Shudian, and Kim Geok Soh. Mental Fatigue and Basketball Performance: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0017.

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Cong, Ding, Soh Kim Geok, and Sun He. Does music counteract mental fatigue?A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0150.

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Cao, Shudian, and Kim Geok Soh. Mindfulness-Based Intervention on the Recovery of Mental Fatigue: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2021. http://dx.doi.org/10.37766/inplasy2021.12.0022.

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Review question / Objective: Can mindfulness-based intervention recover mental fatigue? Condition being studied: Mental fatigue: mental fatigue is a psychobiological state caused by a prolonged period of demanding cognitive activity, and it has implicated many aspects of daily life. It results in an acute feeling of tiredness and a decreased cognitive ability. Mindfulness: Mindfulness is rooted in Buddhism, and it is defined as the awareness that emerges from paying attention to objects on purpose and without judging the unfolding of experience. In a successful mindfulness mediation, meditators experience current feelings, thoughts, and bodily sensations clearly and plainly without judging or evaluating them and acting on the sensation.
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Sun, He, Kim Geok Soh, and Shudian Cao. The effect of mental fatigue on basketball performance: A meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0134.

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Cong, Ding, Soh Kim Geok, and Sun He. Does mental fatigue affect performance in racket sports? A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0017.

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Sun, Zhengzhou University. Counteracting Mental Fatigue for Athletes: A Systematic Review of the Interventions. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2023. http://dx.doi.org/10.37766/inplasy2023.1.0049.

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He, Sun, and Kim Geok Soh. Does mental fatigue affect performance among individual sport athletes? A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0040.

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Sun, He, and Kim Geok Soh. Effects of mental fatigue on motor performance among team sport athletes: A scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0039.

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