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https://www.readbyqxmd.com/read/28329124/sleep-and-alertness-in-medical-interns-and-residents-an-observational-study-on-the-role-of-extended-shifts
#1
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...
February 24, 2017: Sleep
https://www.readbyqxmd.com/read/28326009/improving-eeg-based-driver-fatigue-classification-using-sparse-deep-belief-networks
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
https://www.readbyqxmd.com/read/28237888/cognitive-fatigue-a-time-based-resource-sharing-account
#9
Guillermo Borragán, Hichem Slama, Mario Bartolomei, Philippe Peigneux
Cognitive Fatigue (CF) is an important confound impacting cognitive performance. How CF is triggered and what are the features that make a cognitive effort perceived as exhausting remain unclear. In the theoretical framework of the Time-based Resource-sharing (TBRS) model (Barrouillet et al., 2004), we hypothesized that CF is an outcome of increased cognitive load due to constrained time to process ongoing cognitive demands. We tested this cognitive load-related CF hypothesis across 2 experiments manipulating both task complexity and cognitive load induced by the processing time interval...
February 3, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28227550/classification-of-eeg-based-mental-fatigue-using-principal-component-analysis-and-bayesian-neural-network
#10
Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Ashley Craig, Tuan N Nguyen, Sai Ho Ling, Hung T Nguyen, Yvonne Tran, Ganesh R Naik, Rifai Chai
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/28226827/analysis-of-loss-of-alertness-due-to-cognitive-fatigue-using-motif-synchronization-of-eeg-records
#11
Anwesha Sengupta, Abhishek Tiwari, Aritra Chaudhuri, Aurobinda Routray, Anwesha Sengupta, Abhishek Tiwari, Aritra Chaudhuri, Aurobinda Routray, Aurobinda Routray, Anwesha Sengupta, Aritra Chaudhuri, Abhishek Tiwari
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/28226514/single-channel-eeg-based-mental-fatigue-detection-based-on-deep-belief-network
#12
Pinyi Li, Wenhui Jiang, Fei Su, Pinyi Li, Wenhui Jiang, Fei Su, Fei Su, Wenhui Jiang, Pinyi Li
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/28216425/repeated-day-1-fob-testing-in-ich-s7a-safety-assessment-protocols-the-influence-of-within-and-between-session-learning
#13
REVIEW
David V Gauvin, Zachary J Zimmermann, Jill A Dalton, Theodore J Baird
A large number of CNS safety assessment studies using the standard Functional Observational Battery (FOB) are conducted each year at Contract Research Organizations throughout the globe. Study design characteristics are as varied as the Sponsors for whom they are contracted. Gender inclusion, sample sizes, and timing of the FOBs are generally negotiated during protocol development. The ICH S7A guidelines describe a dose-effect study design for CNS safety assessment to be conducted prior to the first dose administration in man...
February 12, 2017: Journal of Pharmacological and Toxicological Methods
https://www.readbyqxmd.com/read/28162030/infodemiology-of-systemic-lupus-erythematous-using-google-trends
#14
M Radin, S Sciascia
Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. 'Infodemiology' and 'infoveillance' are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach...
January 1, 2017: Lupus
https://www.readbyqxmd.com/read/28160813/fatigue-and-on-duty-injury-among-police-officers-the-bcops-study
#15
Desta Fekedulegn, Cecil M Burchfiel, Claudia C Ma, Michael E Andrew, Tara A Hartley, Luenda E Charles, Ja K Gu, John M Violanti
INTRODUCTION: Policing involves inherent physical and psychological dangers as well as occupational stressors that could lead to chronic fatigue. Although accounts of adverse events associated with police fatigue are not scarce, literature on the association between chronic fatigue and on-duty injury are limited. METHODS: Participants were officers from the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) Study. A 10-item questionnaire was administered to assess how tired or energetic the officers generally felt irrespective of sleep hours or workload...
February 2017: Journal of Safety Research
https://www.readbyqxmd.com/read/28063462/going-digital-a-narrative-overview-of-the-clinical-and-organisational-impacts-of-ehealth-technologies-in-hospital-practice
#16
Justin Keasberry, Ian A Scott, Clair Sullivan, Andrew Staib, Richard Ashby
Objective The aim of the present study was to determine the effects of hospital-based eHealth technologies on quality, safety and efficiency of care and clinical outcomes.Methods Systematic reviews and reviews of systematic reviews of eHealth technologies published in PubMed/Medline/Cochrane Library between January 2010 and October 2015 were evaluated. Reviews of implementation issues, non-hospital settings or remote care or patient-focused technologies were excluded from analysis. Methodological quality was assessed using a validated appraisal tool...
January 9, 2017: Australian Health Review: a Publication of the Australian Hospital Association
https://www.readbyqxmd.com/read/28056940/a-large-and-persistent-outbreak-of-typhoid-fever-caused-by-consuming-contaminated-water-and-street-vended-beverages-kampala-uganda-january-june-2015
#17
Steven Ndugwa Kabwama, Lilian Bulage, Fred Nsubuga, Gerald Pande, David Were Oguttu, Richardson Mafigiri, Christine Kihembo, Benon Kwesiga, Ben Masiira, Allen Eva Okullo, Henry Kajumbula, Joseph Matovu, Issa Makumbi, Milton Wetaka, Sam Kasozi, Simon Kyazze, Melissa Dahlke, Peter Hughes, Juliet Nsimire Sendagala, Monica Musenero, Immaculate Nabukenya, Vincent R Hill, Eric Mintz, Janell Routh, Gerardo Gómez, Amelia Bicknese, Bao-Ping Zhu
BACKGROUND: On 6 February 2015, Kampala city authorities alerted the Ugandan Ministry of Health of a "strange disease" that killed one person and sickened dozens. We conducted an epidemiologic investigation to identify the nature of the disease, mode of transmission, and risk factors to inform timely and effective control measures. METHODS: We defined a suspected case as onset of fever (≥37.5 °C) for more than 3 days with abdominal pain, headache, negative malaria test or failed anti-malaria treatment, and at least 2 of the following: diarrhea, nausea or vomiting, constipation, fatigue...
January 5, 2017: BMC Public Health
https://www.readbyqxmd.com/read/28045650/reduction-in-alert-fatigue-in-an-assisted-electronic-prescribing-system-through-the-lean-six-sigma-methodology
#18
Mª Jesús Cuéllar Monreal, Jorge Reig Aguado, Isabel Font Noguera, José Luis Poveda Andrés
OBJECTIVE: To reduce the alert fatigue in our Assisted Electronic Prescribing System (AEPS), through the Lean Six Sigma (LSS) methodology. METHOD: An observational (transversal) and retrospective study, in a general hospital with 850 beds and AEPS. The LSS methodology was followed in order to evaluate the alert fatigue situation in the AEPS system, to implement improvements, and to assess outcomes. The alerts generated during two trimesters studied (before and after the intervention) were analyzed...
January 1, 2017: Farmacia Hospitalaria
https://www.readbyqxmd.com/read/28000358/a-feasibility-study-for-a-clinical-decision-support-system-prompting-hiv-testing
#19
D R Chadwick, C Hall, C Rae, Ml Rayment, M Branch, J Littlewood, A Sullivan
OBJECTIVES: Levels of undiagnosed HIV infection and late presentation remain high globally despite attempts to increase testing. The objective of this study was to evaluate a risk-based prototype application to prompt HIV testing when patients undergo routine blood tests. METHODS: Two computer physician order entry (CPOE) systems were modified using the application to prompt health care workers (HCWs) to add an HIV test when other tests selected suggested that the patient was at higher risk of HIV infection...
December 21, 2016: HIV Medicine
https://www.readbyqxmd.com/read/27995044/a-concise-drug-alerting-rule-set-for-chinese-hospitals-and-its-application-in-computerized-physician-order-entry-cpoe
#20
Yinsheng Zhang, Xin Long, Weihong Chen, Haomin Li, Huilong Duan, Qian Shang
BACKGROUND: A minimized and concise drug alerting rule set can be effective in reducing alert fatigue. OBJECTIVES: This study aims to develop and evaluate a concise drug alerting rule set for Chinese hospitals. The rule set covers not only western medicine, but also Chinese patent medicine that is widely used in Chinese hospitals. SETTING: A 2600-bed general hospital in China. METHODS: In order to implement the drug rule set in clinical information settings, an information model for drug rules was designed and a rule authoring tool was developed accordingly...
2016: SpringerPlus
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