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Epilepsy is caused by sudden flurries of electrochemical activity in the brain, which interrupt the 'conversation' among neurons. Consciousness, memory, sense, speech, mood, movement, and motions can all be affected during the one or two minutes that the seizure lasts. Walking, jogging, running and stationary bicycling are particularly safe, but especially "Prayer type yoga exercise" clearly...
Heart rate variability (HRV) is an established indicator of cardiac health. Recent developments have shown the potential of nonlinear metrics for pattern classification of various heart conditions. Evidence indicates that the combination of multiple linear and nonlinear features leads to increased classification accuracy. In our paper, we demonstrate HRV classification using two dynamic nonlinear...
Heart rate variability (HRV) is among important characteristics of general cardiac health. While 24-hour Holter monitoring is well recognized as a comprehensive analytical technique, short-term (up to 30 min.) electrocardiogram (ECG), recorded in presence of controlled environmental stimuli, remains rather unexplored in diagnostic practice. The presented method of change point detection in such class...
To date, cardiovascular disease (CVD) is the first leading cause of global death. The Electrocardiogram (ECG) is the most widely adopted clinical tool that measures and records the electrical activity of the heart from the body surface. The mainstream resting ECG machines for CVD diagnosis and supervision can be ineffective in detecting abnormal transient heart activities, which may not occur during...
Here we present a method of QT interval measurement for Physionetpsilas online QT Challenge ECG database using the wavelets Daubechies 6 and 8 and Symlet 6 and time plane features. Doing so we found that out of these three wavelets Daubechies 6 gives the best output and when averaged with the interval of time plane feature extraction method it gives least percentage of error with respect to the median...
Blood pressure measurement is a highly sensitive task, because even breathing can cause variation as high as 10 mmHg in reading of blood pressure. Due to the presence of high level of uncertainty; the linear model for blood pressure classification is not appropriate. Fuzzy logic systems are capable of producing precise solutions from vague, incomplete, or approximate information, by accommodating...
We describe the development of an automated, adaptive method to obtain the time interval between successive heart beats from noisy and highly variable electrocardiography signals. These interbeat time series are critical to the fractal characterization of cardiac health. When the biophysical measurement is severely tainted with noise from multiple sources, there is a need for algorithms to robustly...
We describe the development of an automated, adaptive method to obtain the time interval between successive heart beats from noisy and highly variable electrocardiography signals. These interbeat time series are critical to the fractal characterization of cardiac health. When the biophysical measurement is severely tainted with noise from multiple sources, there is a need for algorithms to robustly...
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