| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 600517000 | Vertical variation of PQRST signal waveform (e.g., amplitude of QRS complex, etc.) detected | 10 |
| 20090171228 | BASELINE PROCESSING FOR THE DETECTION OF CARDIAC EVENTS - A system for the detection of cardiac events occurring in a human patient is provided. At least two electrodes are included in the system for obtaining an electrical signal from a patient's heart. An electrical signal processor is electrically coupled to the electrodes for processing the electrical signal and a patient alarm means is further provided and electrically coupled to the electrical signal processor. The electrical signal is acquired in the form of electrogram segments, which are categorized according to heart rate, ST segment shift and type heart rhythm (normal or abnormal). Baseline electrogram segments are tracked over time. | 07-02-2009 |
| 20090177104 | System and Method for Distinguishing Among Cardiac Ischemia, Hypoglycemia and Hyperglycemia Using an Implantable Medical Device - Techniques are described for detecting ischemia, hypoglycemia or hyperglycemia based on intracardiac electrogram (IEGM) signals. Ischemia is detected based on a shortening of the interval between the QRS complex and the end of a T-wave (QTmax), alone or in combination with a change in ST segment elevation. Alternatively, ischemia is detected based on a change in ST segment elevation combined with minimal change in the interval between the QRS complex and the end of the T-wave (QTend). Hypoglycemia is detected based on a change in ST segment elevation along with a lengthening of either QTmax or QTend. Hyperglycemia is detected based on a change in ST segment elevation along with minimal change in QTmax and in QTend. By exploiting QTmax and QTend in combination with ST segment elevation, changes in ST segment elevation caused by hypo/hyperglycemia can be properly distinguished from changes caused by ischemia. | 07-09-2009 |
| 20090177105 | System and Method for Distinguishing Among Cardiac Ischemia, Hypoglycemia and Hyperglycemia Using an Implantable Medical Device - Techniques are described for detecting ischemia, hypoglycemia or hyperglycemia based on intracardiac electrogram (IEGM) signals. Ischemia is detected based on a shortening of the interval between the QRS complex and the end of a T-wave (QTmax), alone or in combination with a change in ST segment elevation. Alternatively, ischemia is detected based on a change in ST segment elevation combined with minimal change in the interval between the QRS complex and the end of the T-wave (QTend). Hypoglycemia is detected based on a change in ST segment elevation along with a lengthening of either QTmax or QTend. Hyperglycemia is detected based on a change in ST segment elevation along with minimal change in QTmax and in QTend. By exploiting QTmax and QTend in combination with ST segment elevation, changes in ST segment elevation caused by hypo/hyperglycemia can be properly distinguished from changes caused by ischemia. | 07-09-2009 |
| 20090192398 | METHOD AND APPARATUS FOR MONITORING T-WAVE ALTERNANS - An implantable medical device and associated method assess T-wave alternans by sensing a cardiac electrogram (EGM) signal and selecting a pair of consecutive T-wave signals from the EGM signal. A first amplitude and a second amplitude from each of the consecutive T-wave signals are determined. The differences between the first amplitudes and the second amplitudes of the consecutive T-wave signal pairs are used to compute a T-wave alternans metric. | 07-30-2009 |
| 20090292216 | Noise cancellation mechanism - In a biometric sensor provided for use with an exercise apparatus and having a pair electrodes for sensing a biopotential signal, a common-mode rejection circuit can be used to cancel noise in the signal resulting from various sources including motion of the apparatus. | 11-26-2009 |
| 20130261479 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR PREDICTING VENTRICULAR TACHYARRHYTHMIAS - A method, apparatus, and computer program product for predicting ventricular tachyarrhythmia (VTA) are disclosed. To provide a mechanism that allows prediction of VTA events efficiently within a few hours before the onset of the actual event, a set of repolarization parameters indicative of ventricular repolarization in a subject's heart is determined in successive time segments, thereby to obtain a time series of the set of repolarization parameters. Based on the time series, at least one change indication variable indicative of changes in the ventricular repolarization of the heart is produced and the risk of potential ventricular tachyarrhythmia is predicted based on the at least one change indication variable. | 10-03-2013 |
| 20130261480 | TWA MEASURING APPARATUS AND TWA MEASURING METHOD - A TWA measuring apparatus includes: a grouping section which is configured to group electrocardiogram waveforms of a subject in increments of a first beat number, to generate a plurality of first groups; a storage section which is configured to store the electrocardiogram waveforms; a testing section which is configured to test a statistical intergroup difference of measurement values of the electrocardiogram waveforms of the first groups; a heartbeat condition determining section which is configured to determine that a heartbeat condition is unstable, when a significant statistical difference exists between the first groups; and a TWA measuring section which is configured to measure variation in heartbeat by using the stored electrocardiogram waveforms, when it is determined that the heartbeat condition is unstable. | 10-03-2013 |
| 20130274623 | System for Cardiac Condition Detection Using Heart Waveform Area Associated Analysis - A system for heart performance characterization uses an interface to receive waveform signal data representing electrical activity of a patient heart over at least one heart beat cycle. The signal processor uses a signal peak and amplitude detector for, identifying a first signal portion of a first heart cycle of the signal data, identifying multiple different amplitude levels within the first signal portion, determining a first area under the waveform in the first signal portion corresponding to at least one particular amplitude level and deriving a parameter in response to the determined first area. The output processor generates an alert message if at least one of, (a) the derived parameter and (b) a difference between the derived parameter and a corresponding derived parameter for a different heart cycle for the same patient, exceeds a predetermined threshold value. | 10-17-2013 |
| 20140194764 | TWA MEASURING APPARATUS AND TWA MEASURING METHOD - A TWA measuring apparatus includes: a T-wave feature quantity measuring section; a classifying section classifying T-wave feature quantities into groups of odd and even electrocardiogram waveforms; a reliability index calculating section calculating: first and second representative values and first and second dispersion values of the T-wave feature quantities in the odd and even group; a difference between the first and second representative values, to obtain a TWA feature quantity; and an adjustment value between the first representative value and the first dispersion value, and an adjustment value between the second representative value and the second dispersion value, to obtain a reliability index; and a reliability recognizing section recognizing: when the reliability index exceeds a threshold, that reliability of the TWA feature quantity is high; and when the reliability index does not exceed the threshold, that the reliability is low. | 07-10-2014 |
| 20140276159 | BEAT-MORPHOLOGY MATCHING SCHEME FOR CARDIAC SENSING AND EVENT DETECTION - A medical device and associated method for classifying an unknown cardiac signal sensing a cardiac signal over a plurality of cardiac cycles using a plurality of electrodes coupled to a sensing module, determining a template of a known cardiac signal in response to the cardiac signal sensed over the plurality of cardiac cycles, sensing an unknown cardiac signal over an unknown cardiac cycle, determining a fourth order difference signal corresponding to the template and a fourth order difference signal of the unknown cardiac signal, determining a first morphology match metric between the template fourth order difference signal and the fourth order difference signal of the unknown cardiac signal, and classifying the unknown cardiac signal in responsed to the determined first morphology match score. | 09-18-2014 |
