A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
State-of-the-art and research opportunities for next-generation consumer electronics
The tremendous advancement of Internet-of-Things (IoT) has proliferated the interaction
between the physical and cyber worlds. Consumer electronics, as the first tier in the physical …
between the physical and cyber worlds. Consumer electronics, as the first tier in the physical …
Heart rate variability-based driver drowsiness detection and its validation with EEG
K Fujiwara, E Abe, K Kamata… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Objective: Driver drowsiness detection is a key technology that can prevent fatal car
accidents caused by drowsy driving. The present work proposes a driver drowsiness …
accidents caused by drowsy driving. The present work proposes a driver drowsiness …
Healthcare 5.0: In the perspective of consumer internet-of-things-based fog/cloud computing
Nowadays, our society has been experiencing the development of Healthcare 4.0, focusing
on digitalization by utilizing cloud/fog computing-based consumer Internet-of-Things (CIoT) …
on digitalization by utilizing cloud/fog computing-based consumer Internet-of-Things (CIoT) …
Predicting at-risk university students in a virtual learning environment via a machine learning algorithm
A university education is widely considered essential to social advancement. Ensuring
students pass their courses and graduate on time have thus become issues of concern. This …
students pass their courses and graduate on time have thus become issues of concern. This …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
COVID-19 fake news detection: A hybrid CNN-BiLSTM-AM model
With the rapid development of technology, social media as a communication platform has
caused a significant increase in the dissemination of false information and fake news. We …
caused a significant increase in the dissemination of false information and fake news. We …
A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine
KT Chui, BB Gupta, P Vasant - Electronics, 2021 - mdpi.com
Understanding the remaining useful life (RUL) of equipment is crucial for optimal predictive
maintenance (PdM). This addresses the issues of equipment downtime and unnecessary …
maintenance (PdM). This addresses the issues of equipment downtime and unnecessary …
An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
Industrial Internet of Things for safety management applications: A survey
Industrial Internet of Things (IIoT) aims to achieve higher operational and management
efficiencies by bridging machinery, equipment, human resources, and all other actors …
efficiencies by bridging machinery, equipment, human resources, and all other actors …