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Qt Variability Calculation Using A Template Matching Algorithm And Power Spectral Analysis, Theodore Sami Rizkalla
Qt Variability Calculation Using A Template Matching Algorithm And Power Spectral Analysis, Theodore Sami Rizkalla
Theses
ECG interval measurement and variability analysis has proven to be a useful tool in investigating autonomic nervous system function. Traditionally, the R to R interval has been the thrust of research conducted in this field. QT variability is another topic on which little research has been done.
This thesis uses an algorithm proposed by Dr. Berger, published in 2003. The algorithm stretches the template in the time domain, and composes a sum-squared error function, which is minimized to find the scaling factor for that beat. These scaling factors are compiled into an array, and an interpolated signal is generated of …