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 …

Capacitive electrocardiogram (cECG) systems are increasingly used for the monitoring of
cardiac activity. They can operate within the presence of a small layer of air, hair or cloth and …

Touch behavior biometric has been widely studied for continuous authentication on mobile
devices, which provides a more secure authentication in an implicit process. However, the …

Underwater acoustic technology as an important means of exploring the oceans is receiving
more attention. Denoising for underwater acoustic information in complex marine …

Electrocardiogram (ECG) acquired by wearable devices is increasingly used for healthcare
applications. However, the ECG signals are severely corrupted by various noises (eg …

The electrocardiogram (ECG) is a non-invasive approach for the recording of bioelectric
signals generated by the heart which is used for the examination of the electro physical …

Motion artifacts reduce the quality of information in the electroencephalogram (EEG) signals.
In this study, we have developed an effective approach to mitigate the motion artifacts in …

Heart disease should be treated quickly when symptoms appear. Machine-learning methods
for detecting heart disease require desktop computers, an obstacle that can have fatal …

For long-term and more convenience electrocardiograph (ECG) monitoring, an active-
electrode-based ECG monitoring system, which can measure ECG through clothes, is …

Random noise inevitability affects positioning accuracy for Global Navigation Satellite
System (GNSS) measurements. For effectual elimination of the noise mixed in the …