Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
98 words
For use in ECG monitoring apparatus, a patient-adaptive QRS complex validation method comprising: characterizing a patient's ECG pattern by sampling at the beginning and the end of plural sampling intervals between predefined analysis points an ECG signal for a predefined learning period of time and calculating a learned rate of change of such ECG signal over said intervals, and thereafter determining the validity of QRS complexes by sampling between such analysis points such ECG signal, calculating a measured rate of change of such ECG signal and comparing said measured rate of change with said learned rate of change.
Claim 2
Dependent Claim
98 words
For use in ECG monitoring apparatus, a patient-adaptive QRS complex validation method comprising: characterizing a patient's ECG pattern by sampling at the beginning and the end of plural sampling intervals between predefined analysis points an ECG signal for a predefined learning period of time and calculating a learned rate of change of such ECG signal over said intervals, and thereafter determining the validity of QRS complexes by sampling between such analysis points such ECG signal, calculating a measured rate of change of such ECG signal and comparing said measured rate of change with said learned rate of change.
Claim 3
Dependent Claim
186 words
A patient-adaptive ECG monitoring method comprising: sampling an ECG signal to produce data representing the ECG signal amplitudes at the beginning and the end of a sampling interval between predefined analysis points; calculating the magnitude and the direction of the change in the signal amplitude over said interval, said magnitude of the change being equivalent to the magnitude result of subtracting the signal amplitude at the beginning of said interval from the signal amplitude at the end of said interval and said direction of the change being equivalent to the sign result of such subtracting; repeating the sampling and calculating steps for a predefined learning period of time including plural ones of said intervals; comparing the magnitudes of the changes in the ECG signal amplitude to determine the magnitude and the direction of the greatest change in ECG signal amplitude over said learning period; and thereafter identifying QRS complexes within such ECG signal by comparing with the magnitude of said greatest change the magnitudes of only those changes in the ECG signal amplitude which are of the same direction as the direction of said greatest change.
Claim 4
Dependent Claim
186 words
A patient-adaptive ECG monitoring method comprising: sampling an ECG signal to produce data representing the ECG signal amplitudes at the beginning and the end of a sampling interval between predefined analysis points; calculating the magnitude and the direction of the change in the signal amplitude over said interval, said magnitude of the change being equivalent to the magnitude result of subtracting the signal amplitude at the beginning of said interval from the signal amplitude at the end of said interval and said direction of the change being equivalent to the sign result of such subtracting; repeating the sampling and calculating steps for a predefined learning period of time including plural ones of said intervals; comparing the magnitudes of the changes in the ECG signal amplitude to determine the magnitude and the direction of the greatest change in ECG signal amplitude over said learning period; and thereafter identifying QRS complexes within such ECG signal by comparing with the magnitude of said greatest change the magnitudes of only those changes in the ECG signal amplitude which are of the same direction as the direction of said greatest change.
Claim 5
Dependent Claim
71 words
For use in ambulatory ECG monitoring apparatus, an arrhythmia identification method comprising: detecting a patient's heart beats; calculating plural running heart rate averages; constant threshold value to produce a first comparison result; comparing said averages with one another to produce a second comparison result representing a rate of change of said averages; and evaluating said first comparison result and said second comparison result, in accordance with predefined criteria, to identify arrhythmia.
Claim 6
Dependent Claim
71 words
For use in ambulatory ECG monitoring apparatus, an arrhythmia identification method comprising: detecting a patient's heart beats; calculating plural running heart rate averages; constant threshold value to produce a first comparison result; comparing said averages with one another to produce a second comparison result representing a rate of change of said averages; and evaluating said first comparison result and said second comparison result, in accordance with predefined criteria, to identify arrhythmia.
Claim 7
Dependent Claim
118 words
For use in ambulatory ECG monitoring apparatus, an arrhythmia identification method comprising: detecting a patient's heart beats; calculating plural running heart rate averages, each of said averages being based upon a first predefined number of detected heart beats; first comparing said averages with at least one of a predefined maximum value and a predefined minimum value; determining a rate of change of said averages over a second predefined number of detected heart beats; second comparing said rate of change with a predefined threshold value; and identifying arrhythmia based upon one of said averages being greater than said predefined maximum or less than said predefined minimum value and said rate of change being greater than said predefined threshold value.
Claim 8
Dependent Claim
118 words
For use in ambulatory ECG monitoring apparatus, an arrhythmia identification method comprising: detecting a patient's heart beats; calculating plural running heart rate averages, each of said averages being based upon a first predefined number of detected heart beats; first comparing said averages with at least one of a predefined maximum value and a predefined minimum value; determining a rate of change of said averages over a second predefined number of detected heart beats; second comparing said rate of change with a predefined threshold value; and identifying arrhythmia based upon one of said averages being greater than said predefined maximum or less than said predefined minimum value and said rate of change being greater than said predefined threshold value.
Claim 9
Dependent Claim
26 words
The method of claim 4, wherein said determining and said second comparing steps are performed by the pair-wise comparison of at least two of said averages.
Claim 10
Dependent Claim
54 words
The method of claim 5, wherein said averages are stored in a queue of predefined depth, said queue being pushed with successive ones of said averages, wherein said pair-wise comparison is performed by determining whether at least one of said averages is within a predefined percentage of at least one other of said averages.