Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/70998
Título: Low Cost Portable Diagnostic Device for Automatic Classification of the Abnormal Cardiac Sound using PGC Recording
Autores/as: Kaushal, Abhishek
Yadav, Anjali
Dutta, Malay Kishore
Travieso González, Carlos Manuel 
Esteban-Hernández, Luis
Clasificación UNESCO: 320501 Cardiología
3314 Tecnología médica
Palabras clave: Cardiac Sound
Diagnostic Device
Low Cost
Pcg Recording
Portable, et al.
Fecha de publicación: 2020
Editor/a: Association for Computing Machinery 
Conferencia: International Conference on Applications of Intelligent Systems (APPIS 2020) 
Resumen: Cardiovascular diseases are becoming one of the most common causes of mortality all over the world these days. Medical experts and professionals use stethoscope for proper analysis of the cardiac sound. This conventional method required a lot of and also involve medical experts. This paper presents a low cost, portable device which can automatically classified the heart condition by recording the heart sound of the patient. The device is developed in such a way that a non-medical person can use it for the purpose of initial screening of the heart condition of the patients. The proposed device is based on supervised classifier which help in identifying a recorded heart sound either as normal or abnormal heart sound. Supervised classification model is developed on the basis of discriminatory features that are extracted using cepstrum analysis of the heart sound. The proposed method has achieved an accuracy of 97% in correctly classifying a heart sound PCG signal as normal and abnormal. This make the developed device to use in dispensary for the initial screening of the patients.
URI: http://hdl.handle.net/10553/70998
ISBN: 978-1-4503-7630-3
DOI: 10.1145/3378184.3378213
Fuente: APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, January, 2020, article 17
Colección:Actas de congresos
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