Automatic detection and reporting of cardiac asystole
First Claim
1. A method of evaluating ECG data to automatically detect and report cardiac asystole, comprising:
- (a) obtaining ECG data;
(b) calculating one or more ECG measures from the ECG data;
(c) classifying the ECG data in multiple classifiers using the one or more ECG measures, wherein each classifier in the multiple classifiers classifies the ECG data into a class indicative of cardiac condition, and wherein one class indicative of cardiac condition is indicative of cardiac asystole; and
(d) reporting an asystole classification if the ECG data is classified in the class indicative of cardiac asystole.
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Accused Products
Abstract
A medical device (e.g., an automated external defibrillator) automatically detects and reports cardiac asystole by first obtaining ECG data and calculating one or more ECG measures from the ECG data. The defibrillator evaluates the ECG data by classifying the ECG data into a class indicative of cardiac condition, wherein one class is indicative of cardiac asystole. If the defibrillator classifies the ECG data into the class indicative of cardiac asystole, the defibrillator reports the asystole classification on a display. The defibrillator may classify the ECG data into a rhythm class associated with a cardiac rhythm, such as asystole, and report the rhythm class of the ECG data on the display. The defibrillator may also suggest a procedure to undertake, such as a therapy (e.g., defibrillation for a shockable cardiac rhythm), based on the classification of the ECG data. The defibrillator may reserve reporting the detection of asystole until a predetermined number of ECG classifications over at least a predetermined period of time have resulted in an asystole classification. The defibrillator may also reserve reporting the detection of asystole until an ECG classification resulting in asystole has been performed outside of a predetermined period of time after application of a defibrillation pulse. A statistical binary classification and regression tree may be used to classify the ECG data according to cardiac rhythm. Other signal data, such as impedance or phonocardiographic signal data, may also be obtained and classified with the ECG data.
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Citations
64 Claims
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1. A method of evaluating ECG data to automatically detect and report cardiac asystole, comprising:
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(a) obtaining ECG data;
(b) calculating one or more ECG measures from the ECG data;
(c) classifying the ECG data in multiple classifiers using the one or more ECG measures, wherein each classifier in the multiple classifiers classifies the ECG data into a class indicative of cardiac condition, and wherein one class indicative of cardiac condition is indicative of cardiac asystole; and
(d) reporting an asystole classification if the ECG data is classified in the class indicative of cardiac asystole. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 59, 60)
(a) determining an overall ECG classification based on the classification of each segment of the multiple segments of ECG data; and
(b) reporting the overall ECG classification if the overall ECG classification is indicative of cardiac asystole.
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17. The method of claim 16, wherein the multiple segments of ECG data include three segments of ECG data, and the overall ECG classification is based on a consensus of the classification of two of the three segments.
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18. The method of claim 1, further comprising recording the classification of the ECG data in a history of ECG classifications, and reporting an asystole classification only if the history of ECG classifications indicates that a predetermined number of ECG classifications over at least a predetermined period of time have resulted in an asystole classification.
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19. The method of claim 1, wherein an asystole classification is not reported if a defibrillation pulse has been delivered within a predetermined period of time.
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20. The method of claim 1, further comprising automatically charging one or more defibrillation capacitors to deliver a defibrillation pulse if the ECG data is classified in a class associated with a shockable cardiac condition.
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21. The method of claim 1, further comprising obtaining additional signal data indicative of cardiac condition and calculating one or more signal measures from the additional signal data, the multiple classifiers using the one or more signal measures and the one or more ECG measures to classify the additional signal data and the ECG data into a class indicative of cardiac condition.
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22. The method of claim 21, wherein the additional signal data is patient impedance data.
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23. The method of claim 21, wherein the additional signal data is phonocardiographic data.
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59. The method of claim 18, wherein the ECG classifications in the predetermined number of ECG classifications are consecutive ECG classifications.
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60. The method of claim 59, wherein the predetermined period of time is at least four minutes.
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24. A method of evaluating ECG data to automatically detect and report cardiac asystole, comprising:
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(a) obtaining ECG data;
(b) calculating one or more ECG measures from the ECG data;
(c) classifying the ECG data into a plurality of classes including shockable, asystole, and non-asystole classes using the one or more ECG measures;
(d) recording the classification of the ECG data in a history of ECG classifications; and
(e) reporting an asystole classification only if the history of ECG classifications indicates that a predetermined number of ECG classifications over at least a predetermined period of time resulted in an asystole classification. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 61, 62)
(a) determining an overall ECG classification based on the classification of each segment of the multiple segments of ECG data; and
(b) reporting the overall ECG classification if the overall ECG classification is indicative of cardiac asystole.
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35. The method of claim 34, wherein the multiple segments of ECG data include three segments of ECG data, and the overall ECG classification is based on a consensus of the classification of two of the three segments.
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36. The method of claim 24, wherein an asystole classification is not reported if a defibrillation pulse has been delivered within a predetermined period of time.
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37. The method of claim 24, further comprising automatically charging one or more defibrillation capacitors to deliver a defibrillation pulse if the ECG data is classified in the shockable class.
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38. The method of claim 24, further comprising obtaining additional signal data indicative of cardiac condition and using the one or more ECG measures and one or more signal measures calculated from the additional signal data to classify the additional signal data and the ECG data.
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39. The method of claim 38, wherein the additional signal data is patient impedance data.
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40. The method of claim 38, wherein the additional signal data is phonocardiographic data.
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61. The method of claim 24, wherein the ECG classifications in the predetermined number of ECG classifications are consecutive ECG classifications.
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62. The method of claim 61, wherein the predetermined period of time is at least four minutes.
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41. A medical device for automatically detecting and reporting cardiac asystole, comprising:
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(a) a plurality of electrodes configured to detect ECG signals;
(b) a converter in signal communication with the plurality of electrodes for converting the ECG signals into ECG data;
(c) a processing unit in signal communication with the converter for receiving and automatically evaluating the ECG data, the processing unit calculating one or more ECG measures from the ECG data and using the one or more ECG measures to classify the ECG data as shockable or non-shockable, and if classified as non-shockable, then classify the ECG data as asystole or non-asystole; and
(d) a display in signal communication with the processing unit, the processing unit reporting a detection of asystole on the display if the ECG data is classified as asystole. - View Dependent Claims (42, 43, 44, 45, 46, 47, 48, 49, 50, 63, 64)
(a) one or more sensors configured to detect a signal that is indicative of cardiac condition other than an ECG signal; and
(b) a converter in signal communication with the one or more sensors for converting the signal indicative of cardiac condition into signal data;
wherein the processing unit receives and evaluates the signal data with the ECG data, the processing unit calculating one or more signal measures from the signal data and using the one or more signal measures and the one or more ECG measures to classify the signal data and ECG data.
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49. The medical device of claim 48, wherein the signal indicative of cardiac condition is an impedance signal.
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50. The medical device of claim 48, wherein the signal indicative of cardiac condition is a phonocardiographic signal.
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63. The medical device of claim 44, wherein the ECG classifications in the predetermined number of ECG classifications are consecutive ECG classifications.
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64. The medical device of claim 63, wherein the predetermined period of time is at least four minutes.
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51. A medical device for automatically evaluating cardiac condition, comprising:
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(a) a plurality of sensors configured to detect one or more signals from a patient indicative of cardiac condition;
(b) a converter in signal communication with the plurality of sensors for converting the one or more signals into signal data;
(c) a processing unit in signal communication with the converter for receiving and automatically evaluating the signal data by classifying the signal data into a class indicative of cardiac condition, the processing unit determining an instruction based on the classification of the signal data for guiding a first-responding caregiver in providing emergency triage and treatment of the patient without the benefit of expert human intervention;
(d) a memory in signal communication with the processing unit for receiving and recording the class into which the signal data is classified by the processing unit, the class being recorded in a history of ECG classifications in the memory; and
(e) a display in signal communication with the processing unit, the processing unit prompting the instruction on the display, and if the history of ECG classifications stored in the memory indicates that a predetermined number of ECG classifications over at least a predetermined period of time resulted in an asystole classification, the processing unit also prompting notification of asystole on the display. - View Dependent Claims (52, 53, 54, 55, 56, 57, 58)
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Specification