The internet of medical things is one of the popular application of internet of things (IoT)
where various small medical devices are interconnected with each other to share sensitive …

Background: Bio-signals are the essential data that smart healthcare systems require for
diagnosing and treating common diseases. However, the amount of these signals that need …

In telemedicine-based healthcare system, such as cardiac health monitoring system, large
amount of data needs to be stored and transferred. This requires stupendous bandwidth and …

Electrocardiogram (ECG) data is essential for evaluating cardiac health conditions. Long-
term ECG signal monitoring needs a considerable amount of memory for storage, impacting …

There have been many connections between medical science and artificial intelligence in
recent years. Many problems arise with the integrity of communication. Cardiac arrhythmia …

For removing noises from recorded ECG signal, adaptive notch filter (ANF) and independent
component analysis (ICA) are used in this paper. In ANF, notch filter is obtained by adding …

Electrocardiogram (ECG) signals are frequently used in the continuous monitoring of heart
patients. These recordings generate huge data, which is difficult to store or transmit in …

Objective To monitor cardiovascular functions, real-time ambulatory and telemedicine
systems have limited storage capacity, necessitating the minimization of data quantity. This …

Compression algorithms for different data have been used in many works. However, the use
of the transform-based technique was found excellent because of its spectral information …

Background. In telecardiology, the bio-signal acquisition processing and communication for
clinical purposes occupies larger storage and significant bandwidth over a communication …