Abstract: A system and method are provided for developing a database of body surface ECG P-wave maps for classification and localization of left-sided atrial arrhythmias. The system and method include generating and receiving P-wave data in a subject by left atrial pacing or receiving P-wave data in a subject during spontaneously occurring or induced left atrial arrhythmias; computing (e.g. potential or integral) maps of the P-wave data; classifying the maps specific to a left atrial ectopic origin; verifying the classification procedure; averaging the classified maps into mean maps; and storing and accessing the mean maps in the database. The mean maps of the P-wave data in the database can be used to automatically classify and localize P-wave data from a patient obtained during a left atrial arrhythmia such as atrial tachycardia, focal atrial fibrillation, or orthodromic atrioventricular reentrant tachycardia.

Abstract: The present invention provides a noninvasive localization, characterization and classification apparatus and method for cardiac arrhythmias. The invention enables discrete isolation of the intricate spatial and temporal detail in morphology of the atrial activity of interest from superimposed ventricular activity of a preceding heartbeat in a particular arrhythmia. An adaptive QRST subtraction template is used that is modulated for discrepancies in voltage and rate between the QRST template and arrhythmia signal. The QRST template modulation is accomplished by using one or more fiducial points and windows that are annotated in both the QRST template and the arrhythmia signal. The invention includes, but is not limited to, the isolation of atrial activity that are commonly known as: (1) P waves in case of focal atrial fibrillation, atrial tachycardia, and orthodromic AV reentrant tachycardia; (2) fibrillation waves in case of chronic atrial fibrillation; and (3) flutter waves in case of atrial flutter.

Abstract: The present invention relates to classification and localization of arrhythmias. More specifically, a system and method is provided for developing a database of body surface ECG P wave maps for classification and localization of left-sided atrial arrhythmias. The invention includes generating and receiving P wave data in a subject by left atrial pacing or receiving P wave data in a subject during spontaneously occurring or induced left atrial arrhythmias; computing (e.g. potential or integral) maps of the P wave data; classifying the maps specific to a left atrial ectopic origin; verifying the classification procedure; averaging the classified maps into mean maps; and storing and accessing the mean maps in the database. The mean maps of the P wave data in the database can be used to automatically classify and localize P wave data from a patient obtained during a left atrial arrhythmia such as atrial tachycardia, focal atrial fibrillation or orthodromic atrioventricular reentrant tachycardia.

Abstract: The present invention provides a noninvasive localization, characterization and classification apparatus and method for cardiac arrhythmias. The invention enables discrete isolation of the intricate spatial and temporal detail in morphology of the atrial activity of interest from superimposed ventricular activity of a preceding heartbeat in a particular arrhythmia. An adaptive QRST subtraction template is used that is modulated for discrepancies in voltage and rate between the QRST template and arrhythmia signal. The QRST template modulation is accomplished by using one or more fiducial points and windows that are annotated in both the QRST template and the arrhythmia signal. The invention includes, but is not limited to, the isolation of atrial activity that are commonly known as: (1) P waves in case of focal atrial fibrillation, atrial tachycardia, and orthodromic AV reentrant tachycardia; (2) fibrillation waves in case of chronic atrial fibrillation; and (3) flutter waves in case of atrial flutter.