Electrocardiogram (ECG) signal evaluation is routinely used in clinics as a significant
diagnostic method for detecting arrhythmia. However, it is very labor intensive to externally …

As photoplethysmographic (PPG) signals are comprised of numerous pieces of important
physiological information, they have been widely employed to measure many physiological …

The latest developments in deep learning have made it possible to implement automated,
advanced extraction of several things' features and classifications. Deep learning methods …

The diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is
necessary to use a computer‐aided diagnosis of ECG signals. However, it is still a …

An electrocardiogram (ECG) signal is a recording of the electrical activity generated by the
heart. The analysis of the ECG signal has been interested in more than a decade to build a …

The number of IoT devices in healthcare is expected to rise sharply due to increased
demand since the COVID-19 pandemic. Deep learning and IoT devices are being employed …

The establishment of automatic diagnostic systems able to detect and classify skin lesions at
the initial stage are getting really relevant and effective in providing support for medical …

Innovative technologies in dermatology allow for the early screening of skin cancer, which
results in a reduction in the mortality rate and surgical treatments. The diagnosis of …

The study of heart sound signals is considered a helpful approach for monitoring heart
diseases and for assessing heart hemodynamic condition. In fact, several cardiac disorders …

Cardiovascular diseases (CVD) are a major cause of death worldwide each year, with
myocardial infarction (MI) accounting for the highest percentage of deaths. The rate of …