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Get Performance Of An Open-source Heart Sound Segmentation Algorithm
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- Press the ‘Get Form’ button to access the form and open it in your preferred online editor.
- Begin by entering your personal details in the appropriate fields. Ensure that all required sections, such as your name, affiliation, and contact information, are filled out completely.
- In the section dedicated to the algorithm evaluation details, describe the performance of the heart sound segmentation algorithm based on your findings. Include metrics like sensitivity, specificity, and accuracy, and refer to relevant data points.
- Complete the results section by detailing your assessment findings, ensuring clarity and specificity. Include the numerical values accompanying your analysis, such as F1 scores and any variations in performance based on different tolerance levels.
- In the significance section, explain the impact of your evaluation and how it contributes to the broader field of heart sound analysis. Emphasize the importance of utilizing a diverse dataset in your research.
- Review all entered information carefully to ensure accuracy and completeness. This step is essential for maintaining the integrity of your submission.
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Heart sound segmentation (HSS) aims to detect the four stages (first sound, systole, second heart sound and diastole) from a heart cycle in a phonocardiogram (PCG), which is an essential step in automatic auscultation analysis. Traditional HSS methods need to manually extract the features before dealing with HSS tasks.
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