Ge Medical Systems Information Technologies Gmbh

Ge Marquette Medical Systems, Inc.

Basel H Taha

Shankara Bonthu Reddy

Joel Qiuzhen Xue

Jonathan Alan Murray

Paul P Elko

Qiuzhen Xue

Shankara B Reddy

A method of automatically selecting a physiological data manipulation process. After raw data including an asynchronous component having diagnostic information and including a synchronous component is received, the asynchronous component is separated from the synchronous component. A data manipulation process based on the diagnostic information is automatically selected based on the signal conditions generated during an analysis process.

Method and apparatus for dynamically selecting an electrocardiogram compression process based on computerized analysis of cardiac rhythm and contour

A method and apparatus are provided for differentiating among atrial-flutter, atrial-fibrillation and other cardiac rhythms. The method includes the steps of estimating a spectral entropy of atrial cardiac activity from an electrocardiogram of a patient and determining that the patient has atrial fibrillation when the spectral entropy is greater than a predetermined value.

Method of using spectral measures to distinguish among atrialfibrillation, atrial-flutter and other cardiac rhythms

A method and apparatus for performing serial comparison between electrocardiograms (ECGs) acquired from a patient. The method includes acquiring ECGs from a patient with an acquisition device and using the acquisition device to perform a serial comparison between at least two of the acquired ECGs. The apparatus is an acquisition device including an acquisition module for acquiring ECGs from a patient and a signal processor for performing a serial comparison between at least two of the acquired ECGs.

Method and apparatus for the serial comparison of electrocardiograms

In order to reduce bias associated with conventional ECG analysis, the present invention provides a method and apparatus to improve diagnosis of acute cardiac syndromes (ACS), such as acute myocardial infarction and acute cardiac ischemia (unstable angina), in specified groups of patients using ECG signals and automatic detection analysis. Specific criteria are developed and utilized based on a prespecified group selection for the particular patient. After identifying group membership for the particular patient, ECG data are acquired from a patient experiencing ACS symptoms. Known criteria typically used for assessing ACS are then modified for the particular group membership. Such criteria significantly reduce the bias found in a baseline group for which the known criteria were established. The invention is particularly useful in identifying an ACS, and the type of ACS, in females under the age of 60 where it has been found that the current critical ST threshold is too high to consistently identify an ACS in this subgroup.

Method and apparatus to detect acute cardiac syndromes in specified groups of patients using ECG

A patient monitoring system for acquiring a physiological waveform, and a method of detecting the presence of pacemaker pulses in same. The patient monitoring system includes an input circuit for acquiring an analog ECG, an analog pace detection circuit connected to the input amplifier for generating analog pacemaker pulse markers and energy measures from analog ECG, a digital ECG processing circuit for providing a digitized output of the analog ECG, and software for analyzing the digitized output to establish digital pace detection markers, and for comparing the analog pacemaker pulse markers and energy measures to the digital pace detection markers to eliminate erroneously detected pacemaker pulses. The method includes the acts of acquiring an analog ECG waveform; analyzing the analog ECG waveform to generate first pacemaker pulse markers and energy measures; digitizing the analog ECG waveform to produce digital ECG data; analyzing the digital ECG data to generate second pacemaker pulse markers; comparing the first pacemaker pulse markers and energy measures to the second pacemaker pulse markers; and analyzing the timing relationship between detected pacemaker pulses and certain ECG features to determine the pacing mode of the implanted pacemaker.

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Menomonee Falls, WI, United States of America

Basel H Taha