Design Proposal Report For Fatigue Monitoring System

The problem I found with this article is, that it had a lot of statements, but not a single fact or statistical number that would be from legitimate source and could be checked. I did a quick research on Google. Everything is online these days as you know. According to Federal Motor Carrier Safety Administration and National Highway Traffic Safety Administration - 75 to 80 percent of car-truck crashes are caused by car drivers. Of those 20 to 25 percent accidents caused by truck drivers, only less than 10 percent are caused because of fatigue.

Nurses have an accountability to their patients to ensure provide the highest quality care possible; and to provide high quality care nurses need adequate resting; working long shifts, night shifts, and rotating shifts, or overtime, contributes to nurse fatigue, accidents, mistakes, and errors (Reed, 2013). Nurses have an obligation to avoid errors and to advocate for safe workplace environments that prevent patient harm.

Cvach, M. (2012). Monitor alarm fatigue: an integrative review. Biomedical Instrumentation & Technology, 46(4), 268-277.

Officer fatigue can be a quite serious problem for police departments. Excess fatigue will generally reduce alertness, decrease performance and worsen mood. These symptoms can reduce officer's performance and safety with potentially life-threatening effects. Patrol officers are expected to remain alert and able to resolve complex, emotional, and potentially dangerous situations. They are expected to be able to multi-task, as well as stay alert during periods of inaction. These activities can be quite difficult for a fatigued officer to complete (Vila 1996). Community oriented policing efforts can be seriously compromised by officer fatigue with excess officer fatigue harming community-police relations (Vila & Taiji 1999).

This lack of rest contributes to distraction while driving, which can cause accidents. Other common scenarios in which the employer might be held at least partially responsible for a truck accident include:

According to Vila (2006), data through the year 2003 indicated that more officers were killed by “unattended adverse events than during the commission of felonies.” Fatigue resulting from reduced sleep, both in duration and quality, is a significant factor in unintentional injuries and fatalities in the law enforcement community. Two hundred eighty seven (287) of the officers involved in the study reported being involved in a motor vehicle collision during the follow up period. Fatigue and drowsiness resulting from sleep disorders is believed to be a contributing factor in a significant number of these collisions. Across 2009-2010, more than a third of line of duty deaths were attributed to motor vehicle crashes (NLEMF, 2010). Sleepiness and fatigue are major factors in motor vehicle collisions and drivers suffering from excessive sleepiness are not only involved in more collisions, but the collisions are often more serious and result in more severe injuries (Drake, 2010). While, officers involved in the study regarded drowsy driving to be as serious and as dangerous as drunk driving, almost half of the participants reported falling asleep while driving 1-2 times a month due to excessive sleepiness (JAMA, 2011). The loss of only two hours of sleep over just a one week period was found to have the same decrease in performance comparable with individuals after 24 hours of staying awake.

Driver fatigue may not be illegal but it is lethal. Fatigue is a discreet killer that occurs for drivers no matter their age, their driving experience, how long the trip is or the time of day. In 2012, there were more fatigue related crashes than drink driving crashes in NSW. When someone doesn’t sleep for the previous 17 years before driving, they have an equal effect to someone who drives with a blood alcohol level of 0.05. A study by Nordbakke and Sagberg in 2007 concluded that drivers had a standard knowledge on preventative actions and the factors influencing the risk of falling asleep. But, despite this knowledge, drivers continue to drive on the road whilst tired.

Fatigue in itself is linked to decreases in alertness, memory, reaction time, and decision-making. There are many consequences that are due to nursing fatigue, which may be detrimental to the patient’s safety or the nurse’s. For instance, having a slowed reaction time and information processing, having compromised problem solving and critical thinking, experiencing lapses in attention to

In general, any motorist who does not get enough sleep could be at risk for drowsy driving, and thus, getting into an auto accident. There are certain groups, however, which may have a greater risk for driving while fatigued. According to the Centers for Disease Control and Prevention, shift workers, particularly those who work long shifts or the night shift, may have an increased likelihood for drowsy driving. Additionally, commercial drivers may be more apt to drive while fatigued. There is also an increased risk for young drivers, specifically young men.

The work is inherently risky, and officers face the threat of being attacked, wounded or even killed when dealing with suspects or other hazardous situations during a shift. The result can be severe fatigue that lowers an officers ' reasoning, reaction time, alertness and weakens their ability to protect themselves and those they serve.

So as long as I’ve been driving I’ve always recalled my mother’s voice saying, “Don’t drink and drive. Sleep at a friend’s house or pay for a taxi. Don’t Do It echoing in the back of my head.” So imagine my surprise when I found out that “driver distraction is actually more important now than critical crash factors such as fatigue, drug ingestion and alcohol intoxication”. According to John Lee, author of Driver Distraction and Inattention: Advances in Research and Countermeasures, “Road vehicle crashes are predicted to become the third largest cause of death and injury globally by 2020”.

Thesis: Although it is believed that driving while drowsy is not a threat, it can cause some serious damage.

This technological advancement facilitates the potential use of a \ac{WHTD} as a solution to relieve the burden on the health care system. The \ac{WHTD} refers to the devices which are capable of monitoring the physiological signs (e.g., heart activity, \ac{ECG}, \ac{EMG}, blood pressure, body temperature, oxygen saturation, etc.) of the human body and its surrounding environment (e.g., light, humidity, temperature, etc.) using a number of sensors located on or/and in the human body using \ac{BAN} \cite{movassaghi2014wireless,bangash2014survey,jovanov2011body}. This has been employed in various applications, such as military and sports training, \ac{HCI}, entertainment (interactive gaming), home and office automation, environmental monitoring, and \ac{VR}. It has also shown a tremendous potential as a personal healthcare system, which can provide services such as remote patient and elderly people monitoring, activity monitoring, rehabilitation, and disability assistance services as these devices can monitor health status seamlessly in real-time without disturbing users daily life. Consequently, major \ac{ICT} companies are introducing various wearable devices and services with Personalised Health Data management systems. Apple iWatch with HealthKit, Samsung Galaxy fit and Samsung Digital Health, and Google Fit are some of the

Hi Erin, thanks for the post. Determining the contributing factors of S.P.’s fatigue is important in order to guide us on how to proceed with education. Energy conservation is necessary and encouraging her to divide her activity in smaller tasks. I agree that proper management of HTN and hyperlipidemia, through diet, exercise, and medication regimen, can prevent complications. You made good points in keeping track of heart failure symptoms and the education regarding elevating the legs to decrease edema.

Abstract Structural health monitoring systems frequently use optimisation algorithms to update or identify system parameters in structural dynamics. In this study, an implementation of similar updating techniques is developed for thermal non-destructive material inspection using adaptive response surfaces to approximate experimental parameters (thermal conductivity, convective heat transfer & excitation timing) for updating a finite element model. The use of thermal models results in high non-linearities in parameter influences and parameter updating accuracies, which are discussed. In this work, adaptive response surface methods are compared using interpolation, piecewise spline and polynomial regression functions. In this paper, the most widely used optimisation routines for structural dynamics are compared and validated on a thermal case with multiple independent parameters. The influence of the choice of optimisation parameters is discussed and compared between the different optimisation routines. Finally, a well-suited data reduction technique is investigated which transforms the data set to a smaller, focused response model in each optimisation loop and delivers a proper regression accuracy. It is demonstrated that the use of interpolating regression delivers more accurate parameter estimations in contrast to structural dynamic updating where polynomial regression delivers superior results.