Natural Death at the Wheel

West, Irma

doi:10.1001/jama.1968.03140310024005

Cited by 36 publications

(3 citation statements)

References 9 publications

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“…[6][7][8] While arrhythmia is the most likely cause of abrupt driver incapacitation, underlying coronary artery disease is the most common cause. 8,9 CMV drivers must undergo a medical assessment by a certified CMV examiner to be licensed at least every 2 years. 10,11 This is intended to reduce the risk of accidents in this population.…”

Section: Driversmentioning

confidence: 99%

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Coronary Artery Disease Evaluation and Management Considerations for High Risk Occupations: Commercial Vehicle Drivers and Pilots

Sutton

Banerjee

Cooper

et al. 2021

Circ: Cardiovascular Interventions

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Optimal treatment of stable ischemic heart disease for those in the transportation industry is considered in the context of the individual’s health, as well as with the perspective that sudden impairment could have catastrophic consequences for others. This article focuses on two high risk occupations that one may encounter in practice: commercial motor vehicle drivers and commercial pilots. This article discusses coronary heart disease in patients in high risk occupations and covers current guideline recommendations for screening, treatment, and secondary prevention. The importance of the complimentary perspectives of the regulatory agency, medical examiners, physicians, and pilot or driver are considered in this narrative review, as are considerations for future guideline updates.

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Section: Driversmentioning

confidence: 99%

“…6–8 While arrhythmia is the most likely cause of abrupt driver incapacitation, underlying coronary artery disease is the most common cause. 8,9…”

Section: Driversmentioning

confidence: 99%

Coronary Artery Disease Evaluation and Management Considerations for High Risk Occupations: Commercial Vehicle Drivers and Pilots

Sutton

Banerjee

Cooper

et al. 2021

Circ: Cardiovascular Interventions

View full text Add to dashboard Cite

show abstract

“…Cardiovascular disease has an increasingly powerful impact on the health and safety of CMV drivers because of its prevalence in the population, its progressive nature, the aging work force, and recent advances in diagnosis and therapy. Most studies have shown that cardiovascular disease is the major cause of acute medical illness that results in motor vehicle crashes [4,26,27,28]. However, a study [29] from the National Motor Vehicle Crash Causation Survey (NMVCCS) in the USA reported that 95% of the drivers in crashes precipitated by medical emergencies experienced seizures (35%), blackouts (29%), diabetic reactions (20%), or heart attack (11%) prior to the crashes, where heart attack was shown to contribute to 11% of the crashes.…”

Section: Introductionmentioning

confidence: 99%

Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents

Chowdhury

Alzoubi

Khandakar

et al. 2019

Sensors

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Heart attack is one of the leading causes of human death worldwide. Every year, about 610,000 people die of heart attack in the United States alone—that is one in every four deaths—but there are well understood early symptoms of heart attack that could be used to greatly help in saving many lives and minimizing damages by detecting and reporting at an early stage. On the other hand, every year, about 2.35 million people get injured or disabled from road accidents. Unexpectedly, many of these fatal accidents happen due to the heart attack of drivers that leads to the loss of control of the vehicle. The current work proposes the development of a wearable system for real-time detection and warning of heart attacks in drivers, which could be enormously helpful in reducing road accidents. The system consists of two subsystems that communicate wirelessly using Bluetooth technology, namely, a wearable sensor subsystem and an intelligent heart attack detection and warning subsystem. The sensor subsystem records the electrical activity of the heart from the chest area to produce electrocardiogram (ECG) trace and send that to the other portable decision-making subsystem where the symptoms of heart attack are detected. We evaluated the performance of dry electrodes and different electrode configurations and measured overall power consumption of the system. Linear classification and several machine algorithms were trained and tested for real-time application. It was observed that the linear classification algorithm was not able to detect heart attack in noisy data, whereas the support vector machine (SVM) algorithm with polynomial kernel with extended time–frequency features using extended modified B-distribution (EMBD) showed highest accuracy and was able to detect 97.4% and 96.3% of ST-elevation myocardial infarction (STEMI) and non-ST-elevation MI (NSTEMI), respectively. The proposed system can therefore help in reducing the loss of lives from the growing number of road accidents all over the world.

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Medical Impairment and Highway Crashes

Waller¹

1969

JAMA

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Natural Death at the Wheel

Cited by 36 publications

References 9 publications

Coronary Artery Disease Evaluation and Management Considerations for High Risk Occupations: Commercial Vehicle Drivers and Pilots

Coronary Artery Disease Evaluation and Management Considerations for High Risk Occupations: Commercial Vehicle Drivers and Pilots

Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents

Medical Impairment and Highway Crashes

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