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Heart-LiP (Heartbeat Interpreter)

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dc.contributor.author Hamza Rawal, Muhammad Asad Ullah Haider Muhammad Faisal Ahsan
dc.date.accessioned 2021-07-30T10:49:02Z
dc.date.available 2021-07-30T10:49:02Z
dc.date.issued 2018
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/25155
dc.description Supervisor: Dr. Ahmad Salman en_US
dc.description.abstract Cardiovascular diseases (CVDs) or heart diseases are the leading cause of deaths around the world. In Pakistan, 30 to 40 percent of all deaths are due to CVDs [1]. Main reasons for such a high percentage include failure of early detection of CVDs, expensive treatments, far away clinics/hospitals from rural areas and less experts available. In past stethoscopes were used by doctors for auscultation and diagnosis of heart diseases. However the method was not always reliable as it heavily depends upon expertise of doctor. Later on devices like ECG/EKG were invented for accurate diagnosis. ECG amplifies the electrical signals of heart and display the graph. The ECG method is currently market standard. However ECG devices are expensive and the results are complex to read which require a trained technician to read them. Moreover an EC device requires 8-10 electrodes to be placed at human skin at different body part like chest, wrist and leg. Heart-Lip is a revolutionary, cheap and portable product that will be used to detect abnormality in heart beats using PCG (Phonocardiogram). PCG is a plot of heart’s mechanical activity (sound) transduced at chest recorded using a stethoscope. Automatic detection/classification of heart beats can be helpful in predicting serious heart issues of a patient. The system is capable of diagnosing fourteen different types of heart conditions and fatal diseases. We have used machine learning techniques like ANN, CNN, SVM and AdaBoost for distinguishing a normal heart from abnormal heart and diagnosis of a specific disease. We have achieved an accuracy of 95% for specific disease diagnosis and 88% percent for normal/abnormal classification. The accuracy achieved is fairly excellent compared to current available solution in market. en_US
dc.publisher SEECS, National University of Sciences and Technology, Islamabad en_US
dc.subject Electrical Engineering en_US
dc.title Heart-LiP (Heartbeat Interpreter) en_US
dc.type Thesis en_US


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