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The Abbreviated Injury Scale (AIS) is an anatomical-based coding system created by the Association for the Advancement of Automotive Medicine to classify and describe the severity of injuries. [1] [2] [3] It represents the threat to life associated with the injury rather than the comprehensive assessment of the severity of the injury. [4]
The first step in hazard analysis is to identify the hazards. If an automobile is an object performing an activity such as driving over a bridge, and that bridge may become icy, then an icy bridge might be identified as a hazard.
This classification helps defining the safety requirements necessary to be in line with the ISO 26262 standard. The ASIL is established by performing a risk analysis of a potential hazard by looking at the Severity, Exposure and Controllability of the vehicle operating scenario. The safety goal for that hazard in turn carries the ASIL requirements.
ISO 14971 Medical devices — Application of risk management to medical devices is a voluntary consensus standard, [1] published by International Organization for Standardization (ISO) for the first time in 1998, and specifies terminology, principles, and a process for risk management of medical devices.
Safety can be improved by reducing the chances of a driver making an error, or by designing vehicles to reduce the severity of crashes that do occur. Most industrialized countries have comprehensive requirements and specifications for safety-related vehicle devices, systems, design, and construction. These may include:
The Injury Severity Score (ISS) is an established medical score to assess trauma severity. [1] [2] It correlates with mortality, morbidity and hospitalization time after trauma. It is used to define the term major trauma. A major trauma (or polytrauma) is defined as the Injury Severity Score being greater than 15. [2]
Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).
Detecting the existence of the damage on the structure; Locating the damage; Identifying the types of damage; Quantifying the severity of the damage; It is necessary to employ signal processing and statistical classification to convert sensor data on the infrastructural health status into damage info for assessment.
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