این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Journal of Electrical and Electronic Engineering، جلد ۲۰، شماره ۴، صفحات ۳۳۲۴-۳۳۲۴
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Transforming Cardiac Care: Machine Learning in Heart Condition Prediction Using Phonocardiograms
چکیده انگلیسی مقاله The incidence of heart-related illnesses is on the rise worldwide. Heart diseases are primarily caused by a multitude of parameters, including high blood pressure, diabetes, and excessive cholesterol, which are controlled by poor dietary and lifestyle choices. The growth in cardiovascular diseases (CVD) is mostly due to several other behaviors, such as smoking, drinking, and sleeplessness. In the research, machine learning-based prediction methods work on the audio recordings of heartbeats known as phonocardiograms (PCG) to develop an algorithm that differentiates a normal healthy heart from an abnormal heart based on the heart sounds. The data set consists of 831 normal and 260 abnormal data, and the duration of each sample is 5 seconds. Features extracted from the data are up-sampled and applied to the logistic regression and random forest classification models. The developed models record a classification accuracy of 71% for logistic regression and 94% for the random forest model. Further, artificial neural networks (ANN) and Deep learning networks have been trained to improve performance and demonstrated an accuracy of 94.5%.
کلیدواژه‌های انگلیسی مقاله Phonocardiogram (PCG), machine learning, logistic regression, random forest, Deep learning
نویسندگان مقاله | Sandra D’Souza
Dept. of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India-576104


| Niranjan Reddy S
Dept. of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India-576104


| Saikonda Krishna Tarun
Dept. of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India-576104


| Sohan P
Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India


| aneesha acharya k
Dept. of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India-576104
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-4515-2&slc_lang=en&sid=1
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 4-Biomedical Signal Processing
نوع مقاله منتشر شده Closed - 2024 Special Issue on Applications of Deep Learning in Electrical and Electronic Engineering
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات