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Atrial Fibrillation (AF) is one of the most common cardiac arrhythmias. The number of patients related to heart failure due to AF is increasing day by day. Early detection of AF may reduce the risk of death due to heart failure. So, it has become more important to detect AF. There are various methods to detect AF. In this paper, we use ECG signal for AF detection based on RR interval. The MIT-BIH...
Cardiovascular disease (CSD) has become the leading cause of death worldwide in recent years. This CSD is the most challenging problem for detection or identification in early stages of patients. This research work approaches to develop an ECG signal generator at very low cost for the patients who can receive his/her ECG signal and detect the probability of cardiovascular diseases instantly. This...
ECG machines are usually used for medical diagnosis of heart activities of human body now days. It has created different types of noise and interference based on interfaces between ECG machines and human body. It can change the real amplitude and duration of the signal. In this paper we improved moving average filter and proposed moving average weighted window filter. We have also proposed an algorithm...
Brain computer interface is used for human and machine learning analysis. This paper represents the EEG datasets that are built with different cognitive task such as left, right, back and front imaginary movement with eye open. We have used different feature extraction method to classify these EEG signal using Support Vector Machine (SVM), k-Nearest Neighbor (k-NN) and Artificial Neural Network (ANN)...
Indexes used for image quality evaluation are provided as computational models to measure the quality of images in a perceptually consistent manner. This paper presents a novel evaluation index for assessing image qualities. The index is a modification of the existing traditional Structural Similarity Index Measure (SSIM) by adding another factor to reflect the shape of the brightness histogram of...
It is well known that infrared (IR) imaging has been used extensively for various applications, in particularly in those dark conditions. Therefore, it has been widely employed in various tracking systems, in particularly, with the Internet of Things (IoT), sensors integrated with cloud computing, which makes IR even more popular for future networks. But various images, including IR images almost...
Electrocardiogram (ECG) signal has been widely used for heart diagnoses, but it always mixed with various noises. In this paper, we present a denoising algorithm that can be used for real-life ECG signal to increase signal to noise ratio for accurate diagnoses. Our new algorithm is based on a classical wavelet denoising process, which is taken from the Donoho et al. [5]. It is clearly appears that...
FPGAs are increasingly being promoted in signal processing applications with their tractability, parallelism, high speed, and fast time-to-market. Digital filter is one of the important contents of digital signal process. The characteristic of frequency selection in lower order in comparison with FIR, IIR digital filter is widely applied in modern signal processing systems. Hardware description languages...
Heart disease is the leading cause of death in both men and women claiming up to 900,000 lives every year. Worldwide. An irregular heartbeat is an arrhythmia (also called dysrhythmia).Up to half of these deaths occurs even before emergency services can step in to intervene. To achieve this goal in this paper we have detected the peak of the QRS signal by using QRS detection method of Murthy and Rangaraj...
With the advancement of video-compression technology and the wide deployment of wireless networks, there is an increasing demand for wireless video communication services, and many design challenges remain to be overcome. In this work, an adaptive framework is proposed and simulated for multi-user video transmission over OFDMA-based communication system for the efficient streaming of multi-layered...
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