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Bio Acoustic Signal Feature Extraction and Pattern Recognition Framework
Competitive Advantages Accurate abnormality classification Accurate sinus rhythm recognition Novel feature extraction and machine framework Quantitatively validated results Summary USF researchers have developed a machine learning framework to identify the patterns of cardiac sounds. The acoustic sounds are obtained from the body site and are...
Published: 5/30/2023   |   Inventor(s): Prashanth Chetlur Adithya, Shraddha Pandey, Ravi Sankar, Wilfrido Moreno
Keywords(s): Cardiological Diseases Treatment, Cardiovascular Diseases
Category(s): Technology Classifications > Software, Technology Classifications > Medical, Technology Classifications > Medical > Medical Diagnostics