The growth of health care spending on older adults with chronic diseases faces major
concerns that require effective measures to be adopted worldwide. Among the main …

The focal and non-focal epilepsy is seen to be a chronic neurological brain disorder, which
has affected million people in the world. Hence, an early detection of the focal epileptic …

The online telemedicine systems are helpful since they provide timely and effective
healthcare services. Such online healthcare systems are usually based on sophisticated …

Biomedical signal processing provides a cross-disciplinary international forum through
which research on signal and images measurement and analysis of clinical medicine and …

Electrocardiogram (ECG) is an important diagnostic tool in medical engineering, presented
in the form of electrical signal. Its complete analysis requires three stages viz. pre …

Brain signal processing is important for not only the physiologist doing analysis
investigation, but also for the clinician inspecting patients, biomedical engineer who is …

In this study, we proposed an intelligent health monitoring system based on smart clothing.
The system consisted of smart clothing and sensing component, care institution control …

In this work, computationally efficient and reliable cosine modulated filter banks (CMFBs) are
designed for Electrocardiogram (ECG) data compression. First of all, CMFBs (uniform and …

Alcoholism is an adverse situation that changes the functioning of important part of nervous
system which is neuron. This changes the functional behavior of alcoholic person. The …

The non-stationary and multi-frequency nature of biomedical signal activities makes the use
of time-frequency distributions (TFDs) for analysis inevitable. Time-frequency analysis …