Abstract
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.
Acknowledgment
The researcher group would like to thank Dr. Saad K. Eesee for his support and valuable scientific advices during the implementation of this research.
Ethical Approval: The conducted research is not related to either human or animal use.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
Conflict of interest: The authors declare that they have no conflict of interest.
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Artikel in diesem Heft
- Research Articles
- Serious games as an aid in the development of people with intellectual disabilities
- Integrating deep learning, social networks, and big data for healthcare system
- Brain stem – from general view to computational model based on switchboard rules of operation
- A proposed algorithm for analysing heart sounds and calculating their time intervals
- A novel adaptive window based technique for T wave detection and delineation in the ECG
- Short Communication
- Suggesting teaching methods by analyzing the behavior of children with special needs