As the environment getting polluted, people are suffering with different medical problems also causes about their health as well. Considering this in mind, Body sensor based human activity recognition attracting researcher towards direction. A fusion of electrocardiogram signals and accelerometer processed through convolution neural network is proposed paper. Accelerometer placed at location bo...

Electrocardiogram (ECG) is a graphic recording of the electrical activity produced by the heart. The accuracy of any electrocardiogram waveform extraction plays a vital role in helping a better diagnosis of any heart related illnesses. We present a computer-aided application model for detection of cardiac arrhythmia in ECG signal, which consists of signal pre-processing and detection of the ECG...

Electrocardiogram (ECG) plays a significant role in diagnosing most of the cardiac diseases. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. Many types of ECG recordings generate a vast amount of data. ECG compression becomes mandatory to efficiently store and retrieve this data from medical database. Recently, numerous research and techniques have been developed for compressi...

A new method based on least square support vector machine (LSSVM) combined with FastICA is proposed to extract the fetal electrocardiogram (FECG) from the abdominal signals of a pregnant woman. Firstly, the LSSVM is applied to estimate the maternal electrocardiogram (MECG) component in the multiplex abdominal signals. Then the optimal estimation of multiplex noise-added FECG is obtained by remo...

Electrocardiogram (ECG) is a non-invasive tool that monitors the electrical activity of the heart. An ECG signal is highly prone to the disturbances such as noise contamination, artifacts and other signals interference. So, an ECG signal has to be de-noised so that the distortions can be eliminated from the original signal for the perfect diagnosing of the condition and performance of the heart...