IEEE

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

Abstract: Goal: This paper presents a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system. Methods: An adaptive implementation of 1-D convolutional neural ...
IEEE

Noninvasive Blood Glucose Monitoring Using Spatiotemporal ECG and PPG Feature Fusion and Weight-Based Choquet Integral Multimodel Approach

Abstract: change of blood glucose (BG) level stimulates the autonomic nervous system leading to variation in both human’s electrocardiogram (ECG) and photoplethysmogram (PPG). In this article, we ...