Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder of the
brain that ultimately results in the death of neurons and dementia. The prevalence of the …

ECG signal occurs due to heart's electrical activity and helps detect and record people's
heart health. Many methods have been developed to classify ECG signal automatically. In …

Cardiovascular disorders, including atrial fibrillation (AF) and congestive heart failure (CHF),
are the significant causes of mortality worldwide. The diagnosis of cardiovascular disorders …

A method for electrocardiogram (ECG) feature extraction is presented for automatic
classification of heartbeats, using values of RR intervals, amplitude and Hjorth parameters …

Lung sound is one of the important information in the diagnosis of respiratory disease. Many
researchers have developed various algorithms to diagnose lung disease through the lung …

Signal complexity is one point of view to analyze the biological signal. It arises as a result of
the physiological signal produced by biological systems. Signal complexity can be used as a …

pulmonary crackle sound is produced by an abnormality in the respiratory tract. Pulmonary
crackle sound is one of lung sound that is discontinuous, short duration and appears on the …

The air flow during the respiration process produces lung sound and provide information on
lung health. Automatic lung sound recognition becomes one of the areas of interest to …

Cough sounds as a descriptor have been used for detecting various respiratory ailments
based on its intensity, duration of intermediate phase between two cough sounds …

The prolonged exposure to high levels of cognitive effort causes fatigue and stress-related
decrease of attention and concentration, which are known to compromise work efficiency …