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

In recent years, electrocardiogram (ECG) monitoring has become the most effective method
of monitoring cardiac rhythm in critically ill patients. It can detect a variety of arrhythmias …

With the rapid advancement of digitization, image data plays a pivotal role in the field of
agriculture. Image processing is crucial for agriculture, aiding disease prevention and health …

Electroencephalogram (EEG) data compression is necessary for wireless recording
applications to reduce the amount of data that needs to be transmitted. In this paper, an …

This paper presents a novel two-stage compression technique for vectorcardiogram (VCG)
signals, combining Discrete Karhunen-Loeve (KL) Expansion and Tunable Q-Factor …

Multi-lead wearable devices face significant challenges related to data volume, making
effective Electrocardiogram (ECG) signal compression essential for efficient transmission …

In this manuscript, a new ECG signal compression method is proposed with adaptive
reconstruction quality. It is based on discrete cosine transformation (DCT) and evolutionary …

Electrocardiogram (ECG) signals serve as vital diagnostic tools in modern healthcare.
However, the increasing volume of ECG data necessitates efficient storage and transmission …