Wavelet Signal Processing Informatics
The MyoVista wavECG Device uses advanced signal processing that features the use of wavelet mathematics. A signal processed waveform is displayed in alignment with the conventional ECG waveform. Wavelet based signal processing displays the energy distribution or energy spread during the cardiac cycle. Additional informatics are designed to display information related to energy during the heart’s repolarization phase. An Energy Icon is also displayed that is designed to detect repolarization abnormalities (T-wave abnormalities).
MyoVista Ventricular Repolarization Indices
MyoVista Ventricular Repolarization Indices display T-wave information from the transformed waveform. The Indices represent points in time on the color waveform observed during the T-wave portion of the cardiac cycle. The selected points are just prior to and just after the T-wave peak and select the peak energy (color) or scalogram value during this point in time. The indices values displayed are on a color scale of 0- 255 (blue to red). Blue being the minimum energy in the ECG signal and red being the maximum energy in the ECG signal.
The values displayed for the early and late measures of the right ventricle represent the average values for leads V1 and V2 of the displayed ECG signal. The values displayed for the early and late measures of the left ventricle are average values for leads V4, V5, and V6. The average measures for each right and left ventricle are the summation of the respective (right or left) early and late measures divided by the heart rate in beats per minute.
Conventional ECG Trace with Interpretive Analysis
The MyoVista wavECG Device provides conventional 12-lead ECG trace information as well as the University of Glasgow Interpretive Analysis. The Glasgow Analysis has over 35 years of clinical history and is considered one of the leading ECG interpretive algorithms in the world.