Health monitoring and its related technologies is an attractive research area. The
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …

This paper presents a review of the techniques found in the literature that aim to achieve a
robust heartbeat detection from fusing multi-modal physiological signals (eg …

In this work, we present the development, architecture and evaluation of a new and robust
heart beat detector in multimodal records. The detector uses electrocardiogram (ECG) …

One reason for researching new biometric modalities is to improve the capabilities of
security systems against threats. Biometric modalities based on biomedical signals, in …

The algorithm proposed in this paper is designed for robust identification of the heart beat
annotations in multimodal data, consisting of ECG signal and one or several continuous …

In this chapter, we will present the different stages of denoising based on a real ECG and a
development in Matlab of the techniques proposed after its reception and before sending it …

The aim of Mechano-Electric Correlations in the Human Physiological System is to present
the mechanical and electrical properties of human soft tissues and the mathematical models …

Some of the most recent applications and services revolve around the analysis of time-
series, which generally exhibits chaotic characteristics. This behavior brought back the …

Robust continuous detection of heart beats from bedside monitors are very important in
patient monitoring. The most exiting methods are QSR detectors which are based on …

Abstract" The electrocardiogram (ECG) is the main source of heartbeat analysis throughout
the medical community, due to the distinctive appearance of the QRS complex at the time of …