scholarly journals Response Times to Visual and Auditory Alarms during Anaesthesia

1996 ◽  
Vol 24 (6) ◽  
pp. 682-684 ◽  
Author(s):  
R. W. Morris ◽  
S. R. Montano

Objective To measure and compare the response times to audibly or visually presented alarms in the operating theatre. Methods The time taken by anaesthetists to cancel randomly generated visual and audible false alarms was measured during maintenance of routine anaesthesia. Alarms were generated and times recorded by a laptop computer on the anaesthetic machine. The visual signal was a 15mm diameter red light positioned next to the physiological monitor mounted on top of the machine. The audible alarm was a Sonalert® buzzer of the type incorporated into many medical devices. Results Nineteen anaesthetists provided a total of seventy-two hours of data (887 alarm events). The response times to visual alarms was significantly longer than to audible alarms (P=0.001 Mann Whitney U test). Conclusions The ability of anaesthetists to appreciate changes in patient physiology may be limited by delays in noticing information presented by monitors. The rapid response to the vast majority of alarms indicates a high level of vigilance among the anaesthetists studied. However, this study suggests that it is safer to rely on audible rather than visual alarms when time-critical information such as oxygenation, heart beat and ventilator disconnection is concerned. Visual alarms would appear to be more appropriate for conveying less urgent information.

1988 ◽  
Vol 32 (14) ◽  
pp. 848-852
Author(s):  
Betina Schlegel ◽  
Robert E. Schlegel ◽  
Kirby Gilliland

This paper summarizes gender differences in performing various elements of the Criterion Task Set. Performance data and Subjective Workload Assessment Technique ratings were analyzed for 28 men and 28 women who participated in a large-scale CTS validation study. In general, women tended to perform slightly better than men on the majority of tasks. In particular, performance by women was better on Grammatical Reasoning, Linguistic Processing, Mathematical Processing, and Memory Search. Response times on Probability Monitoring were faster for women but at the expense of a greater number of False Alarms. Men performed better only on the high level of Continuous Recall and the medium level of Unstable Tracking. Women tended to give lower subjective ratings than men to those tasks with a high memory component and gave higher ratings than men to those tasks involving input/output and spatial elements.


2007 ◽  
Vol 105 (2) ◽  
pp. 514-522 ◽  
Author(s):  
Joy L. Hendrick ◽  
Jamie R. Switzer

As some states allow motorists to use hands-free cell phones only while driving, this study was done to examine some braking responses to see if conversing on these two types of cell phones affects quick responding. College-age drivers ( n = 25) completed reaction time trials in go/no-go situations under three conditions: control (no cell phone or conversation), and conversing on hands-free and hand-held cell phones. Their task involved moving the right foot from one pedal to another as quickly as possible in response to a visual signal in a lab setting. Significantly slower reaction times, movement times, and total response times were found for both cell phone conditions than for the control but no differences between hands-free and hand-held phone conditions. These findings provide additional support that talking on cell phones, regardless if it is hands-free or hand-held, reduces speed of information processing.


2015 ◽  
Vol 8 (4) ◽  
pp. 45-60
Author(s):  
B.G. Meshcheryakov ◽  
A.I. Nazarov ◽  
L.G. Chesnokova ◽  
D.V. Yushchenkova

The article describes an experiment which used a new methodological approach to the study of covert recognition of faces by means of registration electro-dermal activity under short-term exposure of familiar and unfamiliar faces and the backward facelike masking stimulus. In contrast to previous studies the control of stimulus awareness allows us to evaluate not just the correct recognitions, but false alarms too. We used as the familiar faces not faces of the well-known persons, but faces of persons from the inner circle of subjects, including the subject’s own face. We confirmed the hypothesis that the characteristics of the electro-dermal reactions in response to familiar and unfamiliar faces will not be different in subjects with a high level of false alarms. However, for the group of subjects with practically zero false alarm rate and zero discriminability of familiar and unfamiliar faces an analysis of electro-dermal reactions have been mixed. On the one hand, as analysis on a group level showed, nor electrocutaneous reactions frequency, nor their amplitudes were not significantly different for the familiar and unfamiliar faces. On the other hand, it is clearly that these individual median and mean values of the amplitudes of subject's reactions are in average more than 2 times stronger when viewed familiar faces than viewed unfamiliar ones. These results leave a good chance to prove the effect of covert identification of faces in further experimentation with other groups of subjects


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Vanesa K Vanderhye ◽  
Lynda Christel ◽  
Ali Turkmani ◽  
Kara A Sands

Introduction: Acute ischemic stroke treatment is time sensitive especially for large vessel occlusion (LVO) strokes with the goal to achieve early cerebral reperfusion. Research suggests standardized protocols incorporate early notification to reduce time from arrival to mechanical thrombectomy (MT). The MT workflow at a certified stroke center required multiple phone calls to mobilize staff and resources resulting in treatment delays. The average time from neurosurgery notification (NN) to case start (CST) was 60.4 minutes (min) resulting in average door-to-puncture (DTP) time of 124.8 min further delaying early reperfusion. Purpose: Standardize MT workflows and incorporate a 1-step notification system to reduce average NN to CST by 20% to 45 min to achieve 90 min average DTP time by 90 days post implementation. Methods: Baseline data for MT cases admitted 1/1/18 - 9/2/19 arriving in the emergency room (ER) and occurring inpatient were abstracted from stroke alert logs and the electronic health record. MT transfers were excluded. A multidisciplinary group of key stakeholders completed both high level process and workflow analysis maps and mock simulations to identify gaps. Both an analysis of variance and Tukey-Kramer’s T Test were performed revealing NN to CST was most statistically significant (p<.0001) and largest root cause for overall increased DTP times. New service-specific workflows were developed including 1-step notification activated via an existing group paging system used for other purposes. Activation notified on call staff of the MT case and patient location. Data points collected were NN to CST (ED and inpatient) and DTP (ED only). Results: Average NN to CST time was 26.7 min (33.3 min decrease or 55.1%; p<.0001, n=12) resulting in DTP average of 83.4 min (41.4 min decrease or 35.3%, n=10) 90 days post-implementation. The paging system was cost-neutral due to existing licensing agreements. Conclusion: In conclusion, streamlined workflows incorporating 1-step notification reduced time from notification to staff response so MT procedures could start sooner. A multidisciplinary approach along with key stakeholder buy-in was instrumental in successful project implementation.


2017 ◽  
pp. 272-304
Author(s):  
Badreya Al-Jenaibi

This paper aims to explore the goals and motives of electronic government utilization among the citizens, the motives of their preference as well as the extent of use of these smart applications in the UAE. Also, it investigates the basic element of Smart Government uses within the federal authorities, response times, and recommendations for improving smart government. This study answers the following questions: What is the purpose of creating smart government? What are the users' aims in using smart government and what level of satisfaction do they experience? To augment this research, 450 questionnaires were distributed among federal authorities' users in all 7 emirates in the UAE. In addition, 18 interviews were conducted with managers in the federal government. The users reported high levels of satisfaction using smart government technologies, indicating a high level of usage and trust. The results also show that higher service speed contributes to higher levels of satisfaction. Managers are very optimistic about Smart Government, but some challenges remain, such as the existence of a lack of information or guidelines for using smart government. There is currently no central government department for applying smart government, and no clear vision or philosophies regarding smart government.


1991 ◽  
Vol 17 (2) ◽  
pp. 160-172 ◽  
Author(s):  
C. Ghezzi ◽  
D. Mandrioli ◽  
S. Morasca ◽  
M. Pezze

Author(s):  
MIGUEL A. SANCHEZ-ORDAZ ◽  
ISABEL GARCIA-CONTRERAS ◽  
VICTOR PEREZ ◽  
JOSÉ F. MORALES ◽  
PEDRO LOPEZ-GARCIA ◽  
...  

Abstract Assertion checking is an invaluable programmer’s tool for finding many classes of errors or verifying their absence in dynamic languages such as Prolog. For Prolog programmers, this means being able to have relevant properties, such as modes, types, determinacy, nonfailure, sharing, constraints, and cost, checked and errors flagged without having to actually run the program. Such global static analysis tools are arguably most useful the earlier they are used in the software development cycle, and fast response times are essential for interactive use. Triggering a full and precise semantic analysis of a software project every time a change is made can be prohibitively expensive. This is specially the case when complex properties need to be inferred for large, realistic code bases. In our static analysis and verification framework, this challenge is addressed through a combination of modular and incremental (context- and path-sensitive) analysis that is responsive to program edits, at different levels of granularity. In this tool paper, we present how the combination of this framework within an integrated development environment (IDE) takes advantage of such incrementality to achieve a high level of reactivity when reflecting analysis and verification results back as colorings and tooltips directly on the program text – the tool’s VeriFly mode. The concrete implementation that we describe is Emacs-based and reuses in part off-the-shelf “on-the-fly” syntax checking facilities (flycheck). We believe that similar extensions are also reproducible with low effort in other mature development environments. Our initial experience with the tool shows quite promising results, with low latency times that provide early, continuous, and precise assertion checking and other semantic feedback to programmers during the development process. The tool supports Prolog natively, as well as other languages by semantic transformation into Horn clauses.


2019 ◽  
Author(s):  
Olivier Bertholet ◽  
Mathieu Pasquier ◽  
Elina Christes ◽  
Damien Wirths ◽  
Pierre-Nicolas Carron ◽  
...  

Abstract Background: The use of lights and siren transport (LST) has been a matter of debate because of the short time savings and well-established increased risks for Emergency Medical Services (EMS) and bystanders. Time-critical hospital intervention (TCHI) denotes urgently needed procedures that cannot be performed properly in an out-of-hospital setting. Since 2013, rapid transportation from the field – fast-track – is currently used for patients with acute ST-elevation myocardial infarction, suspicion of acute stroke and out-of-hospital cardiac arrest. We aimed to determine whether the use of LST was associated with the realization of TCHI for non-trauma cases within 15 minutes of hospital arrival, to identify the predictors of TCHI and to compare clinical outcomes in patients transported with or without LST. Methods: This is a monocentric prospective observational study of non-trauma patients transported by ambulance. Based on Ross et al.’s work in 2016 on trauma patients, TCHI procedures were developed by the study team. We used descriptive statistics to determine whether the use of LST was associated with the realization of TCHI. Univariate and multivariate analyses determined the predictors of TCHI and compared clinical outcomes. Results: On the 324 patients included, 67 (20.7%) benefitted from LST, with 40 (59.7%) receiving TCHI ( p < 0.001). The most common medical TCHI was the fast-track (65.2% of all TCHI). LST was predictive of the need for TCHI ( p < 0.001), as was the clinical condition of the patient and also when EMS providers expected TCHI. When transported with LST, patients were hospitalized significantly more often in acute care units and less often in general wards or discharged from the Emergency Department ( p < 0.001). Conclusions: The use of LST for non-trauma patients was positively associated with the realization of TCHI. EMS providers demonstrated a high level of precision in discerning which patients deserved LST. A majority of the LST benefitted from TCHI. Nevertheless, when fast-track was excluded the rate dropped by more than 50%. To reduce the rate of over-triage (LST without TCHI), LST should be used only for fast-track and also when TCHI is expected by the EMS providers.


Author(s):  
Alexander G. Parlos ◽  
Kyusung Kim ◽  
Raj M. Bharadwaj

Abstract Practical early fault detection and diagnosis systems must exhibit high level of detection accuracy and while exhibiting acceptably low false alarm rates. Such designs must have applicability to a large class of machines, require installation of no additional sensors, and require minimal detailed information regarding the specific machine design. Electromechanical systems, such as electric motors driving dynamic loads like pumps and compressors, often develop incipient failures that result in downtime. There is a large number of such failure modes, with a large majority being of mechanical nature. The precise signatures of these failure modes depend on numerous machine-specific factors, including variations in the electric power supply and driven load. In this paper the development and experimental demonstration of a sensorless, detection and diagnosis system is presented for incipient machine faults. The developed fault detection and diagnosis system uses recent developments in dynamic recurrent neural networks in implementing an empirical model-based approach, and multi-resolution signal processing for extracting fault information from transient signals. The signals used by the system are only the multi-phase motor current and voltage sensors, whereas the transient mechanical speed is estimated from these measurements using a recently developed speed filter. The effectiveness of the fault diagnosis system is demonstrated by detecting stator, rotor and bearing failures at early stages of development and during different levels of deterioration. Experimental test results from small machines, 2.2 kW, and large machines, 373 kW and 597 kW, are presented demonstrating the effectiveness of the proposed approach. Furthermore, the ability of the diagnosis system to discriminate between false alarms and actual incipient failure conditions is demonstrated.


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