Heart sounds play a crucial role in the clinical assessment of patients. Stethoscopes are used for detecting heart sounds and diagnosing potential abnormal conditions. However, several parameters of the cardiac sounds cannot be extracted by traditional stethoscopes. This paper presents a proposed algorithm based on peaks detection. Besides its ability of filtering the heart sounds signals, the time intervals of these sounds in addition to the heart rate were calculated by the proposed algorithm in an efficient way. Signals of the heart sounds from two sources were used to evaluate the efficiency of the algorithm. The first source was the data recorded from 14 participants, whereas the second source was the free data set sponsored by PASCAL. The algorithm showed different performance accuracy for detecting the main heart sounds based on the source of the data used in the study. The accuracy was 93.6% when using the data recorded from the first source, whereas it was 76.194% for the data of the second source.
Chronic heart failure is a syndrome consisting in clinical symptoms that arise as a result of complications of many disease entities. According to the definition it is a condition in which, as a consequence of permanent heart dysfunction, cardiac output is reduced in relation to tissues’ metabolic demand. This results in subjective symptoms or proper cardiac output is sustained over higher filling pressure of the left heart ventricle. The occurrence of disease among adults in Europe and North America is 0.4-2%. Heart dysfunction detected by echocardiography appears with the frequency of 3%, and in people over 60 years of age it doubles with each decade of life, reaching 10% after 80 years of age. The aim of the study is to make an acquisition of fremitus in apex beat place and quantitative evaluation of some of their features which are correlated with the advanced syndrome. We have built the apparatus for the heart signal recording and proposed the original method of its analysis based on the theory of chaos and recurrence plots. It gave us, on the group of 85 patients, sensitivity equal to 0.896 specificity equal to 0.676 and the accuracy of diagnostics of the chronic heart failure equal up to 80%.
In this study, the change in the synchronization between heartbeat and music was investigated. The phenomena of the synchronization between human heartbeat and musical tempo has been reported in several previous studies, however, it has not yet been fully investigated including the effect of changing the tempo of musical piece on the synchronization. In the experiment, the subjects were exposed to musical pieces in which the tempo was manipulated to gradually increasing (named “Up” condition), decreasing (“Down”) and constant (“Flat”). Through the analysis by our developed software, Cardio-Music Synchrogram, the shortest length of the total synchronization periods was observed in Flat condition. Furthermore, the temporal change in the synchronization was investigated.
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