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 …

The accurate detection of heartbeats is of paramount importance in the current healthcare
scenario as they act as an indicator for various underlying cardiac conditions and provides …

Benefiting from non-invasive sensing tech-nologies, heartbeat detection from
ballistocardiogram (BCG) signals is of great significance for home-care applications, such as …

Objective. The ability to synchronize continuous electroencephalogram (cEEG) signals with
physiological waveforms such as electrocardiogram (ECG), invasive pressures …

The automatic detection of a heartbeat is commonly performed by detecting the QRS
complex in the electrocardiogram (ECG), however, various noise sources and missing data …

The analysis of physiological signals is widely used for the development of diagnosis
support tools in medicine, and it is currently an open research field. The use of multiple …

Objective: To investigate the possibility that a sloping baseline in an ABR recording has its
origins in cardiac activity and if so, identify how it is expressed. Design: The effect of ECG …

Electrocardiogram (ECG) and respiration signals are two basic and important and valuable
biomedical signals as source of information used to determine a person's health status …

In order to study the monitoring of anesthesia depth during general anesthesia, the EEG (
electroencephalogram) signals of 30 patients with laparoscopic general anesthesia were …

Bleeding-related complications frequently lead to prolonged hospitalization and often to
death. Furthermore, in civilian accidents, which are among the leading causes of death …