Cardiovascular system and its functions under both physiological and pathophysiological
conditions have been studied for centuries. One of the most important steps in the …

The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

The electrocardiogram (ECG) signal can easily be affected by various types of noises while
being recorded, which decreases the accuracy of subsequent diagnosis. Therefore, the …

The growing significance of the security and human management fields attracts active
research related to face detection and recognition systems. Among these face detection …

Electrocardiogram (ECG) signals have been used to monitor and diagnose signs of
cardiovascular disease and abnormal signals about the human body. ECG signals are …

In the last decade, the proactive diagnosis of diseases with artificial intelligence and its
aligned technologies has been an exciting and fruitful area. One of the areas in medical care …

In this paper, improved high-speed adaptive filter-based denoising architectures are
proposed and implemented using the **linx Virtex-6 series FPGA platform. The performance …

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 biometric identification method is a current research hotspot in the pattern recognition
field. Due to the advantages of electrocardiogram (ECG) signals, which are difficult to …

Doctors diagnose various heart muscle disorders by continuously analyzing
ELECTROCARDIOGRAM (ECG) signals. Obtaining a noise-free ECG recording is difficult …