The performance of the ATM model under long-term astemizole, droperidol, and sertindole treatment at different doses was determined. The ATM model was established based on a rhythmic template with a data length that was dynamically adjusted to match the data length of the target beat by spline interpolation. In this work, we developed a unique automated template matching (ATM) cardiomyocyte beating model to achieve arrhythmic recognition at the single beat level with an interdigitated electrode impedance detection system. However, parameter extraction and examination by the naked eye are the traditional methods for analyzing arrhythmic beats, and it is difficult to achieve automated and efficient arrhythmic recognition with these methods. Conventional cardiomyocyte-based biosensors can record extracellular potentials and mechanical beating signals. Arrhythmia induced by gene mutations, heart disease, or hERG K + channel inhibitors is a serious CVD that can lead to sudden death or heart failure. Cardiovascular disease (CVD) is the number one cause of death in humans.
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