Koninklijke Philips Corporation N.V.

Philips Intellectual Property & Standards Gmbh

Bernd Wilm

Sophia Huai Zhou

Alejo Costa Ribalta

Rainer Schluess

Brian David Gross

Harald Greiner

Saeed Babaeizadeh

Richard Earl Gregg

Jyh-Yun John Wang

Gerhard Tivig

Eric Helfenbein

Volker Manfred Hubert

Winfried Peter Kaiser

Kai Hassing

Axel Joachim Lange

James E Lindauer

Kathryn Ann Egan

Benedikt Latz

Scott Kresge

Nancy Mutch

Francis P Michaud

Marcus Holland-Moritz

Rainer Schlues

An ECG monitoring system continuously monitors a patient's ECG waveform and periodically identifies the patient's QT interval. QT interval values are averaged over time and a corrected interval value QTc and a change in QTc relative to a baseline, dQTc, are periodically produced. An alarm is responsive to updated QT interval values and issues an alarm whenever a selected QT value exceeds an alarm limit. The periodically produced QT interval values are stored and a trend display may be produced showing changes in the QT interval information over different periods of time. The trend display may selectively display the trend information either graphically or in tabular form.

QT interval monitoring system with alarms and trending

An ECG monitoring system analyzes ECG signals of leads associated with different anatomical locations of the body for evidence of ST elevation in the lead signals. The ST elevation and depression measurements of the leads are plotted in a graphical display organized in relation to the anatomical points which are the sources of the lead signals. The locations of the plotted measurements in the anatomically-oriented display indicate the identity of a specific coronary artery or branch as a possible culprit coronary artery for an acute ischemic event, as well as the possible severity of the event from the magnitudes of the plotted signals. A clinician can identify a suspect culprit coronary artery from a quick glance at the graphical display.

Automated identification of culprit coronary artery using anatomically oriented ECG data display

When monitoring physiological parameters (e.g., blood pressure, heart rate, etc.) of a patient, a threshold limit () is set (e.g., automatically or manually) and the monitored parameter is continuously compared to the threshold limit, which may be constant or may vary with time. An alarm () is triggered if the monitored parameter exceeds the threshold limit at any time, or if the monitored parameter has not reached a target value by the end of a predefined time period by which an administered drug or therapy should have been effective.

Method for automatic setting time varying parameter alert and alarm limits

The present invention suggests the use of independent, wireless, smart and therefore self-contained sensors () in a patient monitoring system (). The sensors () provide their own communication system for transmitting acquired signals to a patient monitor () etc. Furthermore a patient identifier () is associated to the communication. This approach introduces a patient-related concept, where all communication is personalized and assigned to the patient ().

Sensor for acquiring physiological signals of a patient

A method of medical monitoring using data collected by a number of sensors, wherein the position of the sensors form a predefined arrangement and collected data depend on the position of the sensor on the patient. The method includes displaying data using a number of multiaxis diagrams where the position of the axes is related to the position of the sensors in the predefined arrangement, and on each axis data from its related sensor is displayed. Further, a multiaxis diagram is used, wherein each axis represents a particular dimension of data and spatial information is displayed in addition to the pure values. With this additional information a two- or three-dimensional representation and localization of data is provided. The technique allows a more effective recognition of monitored data and enables physicians to perform a fast pattern recognition to recognize and evaluate a patient's situation in a quicker and more effective way.

Method of medical monitoring

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Rohrdorf, Germany

Bernd Wilm