Publications by authors named "Sandeep Kumar Satapathy"
Article Synopsis
- Myocardial infarction (MI) is a critical health issue that requires quick and accurate diagnostic methods, and this paper introduces a new technique using the Discrete Wavelet Transform (DWT) to improve detection of MI from ECG signals.
- The DWT helps isolate and reduce noise in ECG recordings, allowing for cleaner signals, which are then analyzed using lightweight one-dimensional Convolutional Neural Networks (CNN) to classify them as either MI or normal.
- The proposed model demonstrates strong performance, achieving a 96% accuracy with one dataset and 91.18% with another, while also addressing class imbalances through under-sampling and up-sampling techniques.
Poverty is a glaring issue in the twenty-first century, even after concerted efforts of organizations to eliminate the same. Predicting poverty using machine learning can offer practical models for facilitating the process of elimination of poverty. This paper uses Multidimensional Poverty Index Data from the Oxford Poverty and Human Development Initiative across the years 2019 and 2021 to make predictions of multidimensional poverty before and during the pandemic.
View Article and Find Full Text PDFEpilepsy is one of the dreaded conditions that had taken billions of people under its cloud worldwide. Detecting the seizure at the correct time in an individual is something that medical practitioners focus in order to help people save their lives. Analysis of the Electroencephalogram (EEG) signal from the scalp area of the human brain can help in detecting the seizure beforehand.
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