Photoplethysmography (PPG) is a low-cost, noninvasive optical technique that uses change
in light transmission with changes in blood volume within tissue to provide information for …

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 …

Recently, much effort has been put into solving arrhythmia classification problems with
machine learning-based methods. However, inter-heartbeat dependencies have been …

Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and
consist of several waveforms (P, QRS, and T). The duration and shape of each waveform …

An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …

Breathing rate (BR) is a key physiological parameter used in a range of clinical settings.
Despite its diagnostic and prognostic value, it is still widely measured by counting breaths …

Respiratory rate (RR) is an important physiological parameter whose abnormality has been
regarded as an important indicator of serious illness. In order to make RR monitoring simple …

The number of publications investigating heart rate variability (HRV) in psychiatry and the
behavioral sciences has increased markedly in the last decade. In addition to the significant …

Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …

Cardiac abnormalities are a leading cause of death and their early diagnosis are of
importance for providing timely interventions. The goal of 2020 PhysioNetlCinC challenge …