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https://www.readbyqxmd.com/read/28510495/fatigue-in-younger-and-older-drivers-effectiveness-of-an-alertness-maintaining-task
#1
Woojin Song, Fu L Woon, Alice Doong, Carol Persad, Louis Tijerina, Pooja Pandit, Carol Cline, Bruno Giordani
OBJECTIVE: The aim of this study was to examine the effects of an alertness maintaining task (AMT) in older, fatigued drivers. BACKGROUND: Fatigue during driving increases crash risk, and previous research suggests that alertness and driving in younger adults may be improved using a secondary AMT during boring, fatigue-eliciting drives. However, the potential impact of an AMT on driving has not been investigated in older drivers whose ability to complete dual tasks has been shown to decline and therefore may be negatively affected with an AMT in driving...
May 1, 2017: Human Factors
https://www.readbyqxmd.com/read/28487930/the-effects-of-medication-alerts-on-prescriber-response-in-a-pediatric-hospital
#2
Judith W Dexheimer, Eric S Kirkendall, Michal Kouril, Philip A Hagedorn, Thomas Minich, Leo L Duan, Monifa Mahdi, Rhonda Szczesniak, S Andrew Spooner
OBJECTIVE: More than 70% of hospitals in the United States have electronic health records (EHRs). Clinical decision support (CDS) presents clinicians with electronic alerts during the course of patient care; however, alert fatigue can influence a provider's response to any EHR alert. The primary goal was to evaluate the effects of alert burden on user response to the alerts. METHODS: We performed a retrospective study of medication alerts over a 24-month period (1/2013-12/2014) in a large pediatric academic medical center...
May 10, 2017: Applied Clinical Informatics
https://www.readbyqxmd.com/read/28465223/the-maximum-tolerated-dose-of-walking-for-community-dwelling-people-recovering-from-hip-fracture-a-dose-response-trial
#3
Casey Peiris, Nora Shields, Michael Kingsley, Jack Yeung, Raphael Hau, Nicholas Taylor
OBJECTIVE: To determine how much moderate-intensity physical activity, in the form of walking, could be prescribed for people living in the community after hip fracture in terms of safety, tolerability and feasibility. DESIGN: Phase I dose-response design. SETTING: Participants were recruited from two public community rehabilitation centres in Melbourne, Australia. PARTICIPANTS: Community-dwelling adults (n=21, 16 women, mean age ± SD, 75 ± 9 years) who were cognitively alert, attending community rehabilitation after a hip fracture (mean ± SD days post fracture, 110 ± 47 days), able to walk with or without a gait aid and for whom it was safe to participate in physical activity...
April 29, 2017: Archives of Physical Medicine and Rehabilitation
https://www.readbyqxmd.com/read/28454858/the-relationship-between-cell-phone-use-and-management-of-driver-fatigue-it-s-complicated
#4
Dyani Juanita Saxby, Gerald Matthews, Catherine Neubauer
INTRODUCTION: Voice communication may enhance performance during monotonous, potentially fatiguing driving conditions (Atchley & Chan, 2011); however, it is unclear whether safety benefits of conversation are outweighed by costs. The present study tested whether personalized conversations intended to simulate hands-free cell phone conversation may counter objective and subjective fatigue effects elicited by vehicle automation. METHOD: A passive fatigue state (Desmond & Hancock, 2001), characterized by disengagement from the task, was induced using full vehicle automation prior to drivers resuming full control over the driving simulator...
June 2017: Journal of Safety Research
https://www.readbyqxmd.com/read/28420352/assessing-the-reliability-of-self-reported-weight-for-the-management-of-heart-failure-application-of-fraud-detection-methods-to-a-randomised-trial-of-telemonitoring
#5
Adam Steventon, Sarwat I Chaudhry, Zhenqiu Lin, Jennifer A Mattera, Harlan M Krumholz
BACKGROUND: Since clinical management of heart failure relies on weights that are self-reported by the patient, errors in reporting will negatively impact the ability of health care professionals to offer timely and effective preventive care. Errors might often result from rounding, or more generally from individual preferences for numbers ending in certain digits, such as 0 or 5. We apply fraud detection methods to assess preferences for numbers ending in these digits in order to inform medical decision making...
April 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28411743/psychophysiological-responses-to-short-term-cooling-during-a-simulated-monotonous-driving-task
#6
Elisabeth Schmidt, Ralf Decke, Ralph Rasshofer, Angelika C Bullinger
For drivers on monotonous routes, cognitive fatigue causes discomfort and poses an important risk for traffic safety. Countermeasures against this type of fatigue are required and thermal stimulation is one intervention method. Surprisingly, there are hardly studies available to measure the effect of cooling while driving. Hence, to better understand the effect of short-term cooling on the perceived sleepiness of car drivers, a driving simulator study (n = 34) was conducted in which physiological and vehicular data during cooling and control conditions were compared...
July 2017: Applied Ergonomics
https://www.readbyqxmd.com/read/28411723/fatigue-of-chinese-railway-employees-and-its-influential-factors-structural-equation-modelling
#7
Liuxing Tsao, Jing Chang, Liang Ma
Fatigue is an identifiable and preventable cause of accidents in transport operations. Regarding the railway sector, incident logs and simulation studies show that employee fatigue leads to lack of alertness, impaired performance, and occurrence of incidents. China has one of the largest rail systems in the world, and Chinese railway employees work under high fatigue risks; therefore, it is important to assess their fatigue level and find the major factors leading to fatigue. We designed a questionnaire that uses Multidimensional Fatigue Instrument (MFI-20), NASA-TLX and subjective rating of work overtime feelings to assess employee fatigue...
July 2017: Applied Ergonomics
https://www.readbyqxmd.com/read/28400244/the-interconnection-of-mental-fatigue-and-aging-an-eeg-study
#8
Stefan Arnau, Tina Möckel, Gerhard Rinkenauer, Edmund Wascher
Mental fatigue, a state of reduced alertness and decreased overall performance due to prolonged cognitive activity, is a major cause for a large number of accidents in traffic and industry. Against the background of an aging workforce, the investigation of the interconnection of mental fatigue and aging is of great practical relevance. In the present study, a group of younger and a group of older adults performed a cognitive task for 3h. The experimental design also comprised breaks with various durations. Beside behavioral data, the spectral properties of the ongoing EEG with respect to time on task and breaks were analyzed...
April 8, 2017: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28395667/effects-of-workload-work-complexity-and-repeated-alerts-on-alert-fatigue-in-a-clinical-decision-support-system
#9
Jessica S Ancker, Alison Edwards, Sarah Nosal, Diane Hauser, Elizabeth Mauer, Rainu Kaushal
BACKGROUND: Although alert fatigue is blamed for high override rates in contemporary clinical decision support systems, the concept of alert fatigue is poorly defined. We tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time. METHODS: Retrospective cohort study using electronic health record data (both drug alerts and clinical practice reminders) from January 2010 through June 2013 from 112 ambulatory primary care clinicians...
April 10, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28394995/video-analysis-of-factors-associated-with-response-time-to-physiologic-monitor-alarms-in-a-children-s-hospital
#10
Christopher P Bonafide, A Russell Localio, John H Holmes, Vinay M Nadkarni, Shannon Stemler, Matthew MacMurchy, Miriam Zander, Kathryn E Roberts, Richard Lin, Ron Keren
Importance: Bedside monitor alarms alert nurses to life-threatening physiologic changes among patients, but the response times of nurses are slow. Objective: To identify factors associated with physiologic monitor alarm response time. Design, Setting, and Participants: This prospective cohort study used 551 hours of video-recorded care administered by 38 nurses to 100 children in a children's hospital medical unit between July 22, 2014, and November 11, 2015...
April 10, 2017: JAMA Pediatrics
https://www.readbyqxmd.com/read/28339900/electronic-clinical-decision-support-for-blood-product-ordering-reduces-unnecessary-transfusion-but-may-induce-alert-fatigue
#11
Jeffrey Papiernik, Ji Won Ahn, Ronald Jackups
No abstract text is available yet for this article.
March 1, 2017: American Journal of Clinical Pathology
https://www.readbyqxmd.com/read/28330787/acute-impact-of-caffeinated-alcoholic-beverages-on-cognition-a-systematic-review
#12
REVIEW
Laurence Lalanne, Pierre-Eric Lutz, François Paille
INTRODUCTION: Energy drinks are popular beverages that are supposed to counteract sleepiness, increase energy, maintain alertness and reduce symptoms of hangover. Cognitive enhancing seems to be related to many compounds such as caffeine, taurine and vitamins. Currently, users mostly combine psychostimulant effects of energy drinks to counteract sedative effects of alcohol. However, recent literature suggests that this combination conducts to feel less intoxicated but still impaired. The goal of the present article is to review cognitive impact and subjective awareness in case of caffeinated alcoholic beverage (CAB) intoxication...
March 19, 2017: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/28329124/sleep-and-alertness-in-medical-interns-and-residents-an-observational-study-on-the-role-of-extended-shifts
#13
Mathias Basner, David F Dinges, Judy A Shea, Dylan S Small, Jingsan Zhu, Laurie Norton, Adrian J Ecker, Cristina Novak, Lisa M Bellini, Kevin G Volpp
Study Objectives: Fatigue from sleep loss is a risk to physician and patient safety, but objective data on physician sleep and alertness on different duty hour schedules is scarce. This study objectively quantified differences in sleep duration and alertness between medical interns working extended overnight shifts and residents not or rarely working extended overnight shifts. Methods: Sleep-wake activity of 137 interns and 87 PGY-2/3 residents on 2-week Internal Medicine and Oncology rotations was assessed with wrist-actigraphy...
April 1, 2017: Sleep
https://www.readbyqxmd.com/read/28326009/improving-eeg-based-driver-fatigue-classification-using-sparse-deep-belief-networks
#14
Rifai Chai, Sai Ho Ling, Phyo Phyo San, Ganesh R Naik, Tuan N Nguyen, Yvonne Tran, Ashley Craig, Hung T Nguyen
This paper presents an improvement of classification performance for electroencephalography (EEG)-based driver fatigue classification between fatigue and alert states with the data collected from 43 participants. The system employs autoregressive (AR) modeling as the features extraction algorithm, and sparse-deep belief networks (sparse-DBN) as the classification algorithm. Compared to other classifiers, sparse-DBN is a semi supervised learning method which combines unsupervised learning for modeling features in the pre-training layer and supervised learning for classification in the following layer...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28316887/comparison-of-methods-of-alert-acknowledgement-by-critical-care-clinicians-in-the-icu-setting
#15
Andrew M Harrison, Charat Thongprayoon, Christopher A Aakre, Jack Y Jeng, Mikhail A Dziadzko, Ognjen Gajic, Brian W Pickering, Vitaly Herasevich
BACKGROUND: Electronic Health Record (EHR)-based sepsis alert systems have failed to demonstrate improvements in clinically meaningful endpoints. However, the effect of implementation barriers on the success of new sepsis alert systems is rarely explored. OBJECTIVE: To test the hypothesis time to severe sepsis alert acknowledgement by critical care clinicians in the ICU setting would be reduced using an EHR-based alert acknowledgement system compared to a text paging-based system...
2017: PeerJ
https://www.readbyqxmd.com/read/28269312/classification-of-eeg-based-mental-fatigue-using-principal-component-analysis-and-bayesian-neural-network
#16
Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268647/analysis-of-loss-of-alertness-due-to-cognitive-fatigue-using-motif-synchronization-of-eeg-records
#17
Anwesha Sengupta, Abhishek Tiwari, Aritra Chaudhuri, Aurobinda Routray
Continuous and repetitive performance of cognitive tasks is likely to cause a change in the alertness levels of an individual. The present paper investigates the changes in EEG as a marker of alertness during an experiment designed to induce cognitive fatigue in subjects by continuous and repetitive performance of standard neuropsychological tests. Electroencephalogram (EEG), speech data and high-speed ocular images are recorded during the task set comprising of an Auditory Response Test (ART) Psychomotor Vigilance Test (PVT), a Letter Counting (LC) task, and a variant of the Stroop Task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268351/single-channel-eeg-based-mental-fatigue-detection-based-on-deep-belief-network
#18
Pinyi Li, Wenhui Jiang, Fei Su
Mental fatigue has a pernicious influence on road and work place safety as well as a negative symptom of many acute and chronic illnesses, since the ability of concentrating, responding and judging quickly decreases during the fatigue or drowsiness stage. Electroencephalography (EEG) has been proven to be a robust physiological indicator of human cognitive state over the last few decades. But most existing EEG-based fatigue detection methods have poor performance in accuracy. This paper proposed a single-channel EEG-based mental fatigue detection method based on Deep Belief Network (DBN)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28248783/amyotrophic-lateral-sclerosis-what-nurses-need-to-know
#19
Tamara L Bellomo, Lucille Cichminski
A MOTHER OF THREE teenage children, Mrs. S, 49, presented to her healthcare provider with bilateral leg twitching and weakness, difficulty swallowing, and fatigue that's worsened over the past few weeks. While she was on her daily morning walk, she tripped and fell. She experienced a small laceration to her leg, prompting her visit to the healthcare facility. Her husband said that she'd had periods of slurred speech over the past few months as well. She was alert and oriented, and her vital signs were all within normal limits...
March 2017: Home Healthcare Now
https://www.readbyqxmd.com/read/28237931/a-multimodal-system-for-assessing-alertness-levels-due-to-cognitive-loading
#20
Anwesha Sengupta, Anirban Dasgupta, Aritra Chaudhuri, Anjith George, Aurobinda Routray, Rajlakshmi Guha
This paper proposes a scheme for assessing the alertness levels of an individual using simultaneous acquisition of multimodal physiological signals and fusing the information into a single metric for quantification of alertness. The system takes Electroencephalogram (EEG), high-speed image sequence and speech data as inputs. Certain parameters are computed from each of these measures as indicators of alertness and a metric by a fusion of the parameters for indicating alertness level of an individual at an instant is proposed...
February 20, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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