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Carotid ultrasound is a low-cost, noninvasive, and accurate diagnostic imaging modality used to evaluate diseases of the carotid arteries. [2] It is most often used to diagnose carotid artery stenosis, a form of atherosclerosis, and has the capability to assess plaque morphology and characteristics. [1]
Many carotid bruits are discovered incidentally in an otherwise asymptomatic patient. The presence of a carotid bruit alone does not necessarily indicate the presence of stenosis, and the physical examination cannot be used to estimate the degree of stenosis, if present; therefore, any bruit must be evaluated by ultrasound or imaging. [4]
If a stethoscope is placed over the brachial artery in the antecubital fossa in a normal person (without arterial disease), no sound should be audible. As the heart beats, these pulses are transmitted smoothly via laminar (non-turbulent) blood flow throughout the arteries, and no sound is produced.
The first heart sound, or S 1, forms the "lub" of "lub-dub" and is composed of components M 1 (mitral valve closure) and T 1 (tricuspid valve closure). Normally M 1 precedes T 1 slightly. It is caused by the closure of the atrioventricular valves , i.e. tricuspid and mitral (bicuspid), at the beginning of ventricular contraction, or systole .
Bruit, also called vascular murmur, [3] is the abnormal sound generated by turbulent flow of blood in an artery due to either an area of partial obstruction or a localized high rate of blood flow through an unobstructed artery.
The sound differs from normal heart sounds by their characteristics. For example, heart murmurs may have a distinct pitch, duration and timing. [ 2 ] [ 3 ] The major way health care providers examine the heart on physical exam is heart auscultation ; [ 3 ] another clinical technique is palpation , which can detect by touch when such turbulence ...
Medical ultrasound includes diagnostic techniques (mainly imaging techniques) using ultrasound, as well as therapeutic applications of ultrasound. In diagnosis, it is used to create an image of internal body structures such as tendons, muscles, joints, blood vessels, and internal organs, to measure some characteristics (e.g., distances and velocities) or to generate an informative audible sound.
External noise from the environment or internal noise from the patient (e.g. breathing) make heart sound segmentation challenging. Feature extraction: Having identified the phases of the heartbeat, information from the heart sound is extracted that enters a further classification stage. Features can range from simple energy-based approaches to ...
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