Comput. Biol. Med. - Path length entropy analysis of diastolic heart sounds.

Tópicos

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Resumo

Early detection of coronary artery disease (CAD) using the acoustic approach, a noninvasive and cost-effective method, would greatly improve the outcome of CAD patients. To detect CAD, we analyze diastolic sounds for possible CAD murmurs. We observed diastolic sounds to exhibit 1/f structure and developed a new method, path length entropy (PLE) and a scaled version (SPLE), to characterize this structure to improve CAD detection. We compare SPLE results to Hurst exponent, Sample entropy and Multiscale entropy for distinguishing between normal and CAD patients. SPLE achieved a sensitivity-specificity of 80%-81%, the best of the tested methods. However, PLE and SPLE are not sufficient to prove nonlinearity, and evaluation using surrogate data suggests that our cardiovascular sound recordings do not contain significant nonlinear properties.

Resumo Limpo

earli detect coronari arteri diseas cad use acoust approach noninvas costeffect method great improv outcom cad patient detect cad analyz diastol sound possibl cad murmur observ diastol sound exhibit f structur develop new method path length entropi ple scale version sple character structur improv cad detect compar sple result hurst expon sampl entropi multiscal entropi distinguish normal cad patient sple achiev sensitivityspecif best test method howev ple sple suffici prove nonlinear evalu use surrog data suggest cardiovascular sound record contain signific nonlinear properti

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