Key result
A syntax-driven waveform parsing system was successfully applied to detect and measure structural variations in carotid pulse waves associated with arterial aging and cardiovascular disease.
A general waveform parsing system can successfully detect and measure structural variations in carotid pulse waves, which are relevant for assessing arterial aging and cardiovascular disease.
May enable automated carotid waveform analysis for aging assessment; leaves open prospective clinical validation.
A general waveform parsing system with application to structural pattern recognition of carotid pulse waves is described. The carotid arterial pulse wave is of medical importance because of variation in its structure induced by arterial aging and cardiovascular disease. The syntax-driven waveform analysis system has been applied with good results to these pulse waves to detect and measure structural variations. The waveform parsing system is modeled on a compiler-compiler system and allows the user to enter application specific information as data. It is thus general enough to be applicable to other waveforms.
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Stockman et al. (1976) studied Cardiovascular disease. Syntax-driven waveform parsing system was evaluated on Detection and measurement of structural variations in carotid pulse waves. A syntax-driven waveform parsing system was successfully applied to detect and measure structural variations in carotid pulse waves associated with arterial aging and cardiovascular disease.
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