General Electric Company

Ge Medical Systems Information Technologies Gmbh

David Alan Sitzman

Bruce Arnold Friedman

Sahika Genc

Stephen Thomas Treacy

George Martin Hutchinson

Elizabeth Anne Bock

Brett Alexander Matthews

Timothy Lee Johnson

Carl Claude Davis

Robert Joseph Alberte, Jr

Michael John Palmer

Michael Lexa

Kalpit Vikrambhai Desai

Robert Michael Farrell

Scott Patrick Gallagher

A monitoring device operable to provide information on data obtained from sensors operably connected between a patient and the device is provided that includes a central processing unit configured to receive incoming data signals from sensors concerning physiological parameters of the patient to compare the incoming data signals to predetermined alarm limits for the physiological parameters to determine an alarm condition and an analytics engine operably connected to the central processing unit and selectively operable to provide predictions of adverse events using the incoming data signals. The central processing unit is configured to alter the alarm limits for at least one of the physiological parameters in response to the activation of the analytics engine to reduce clinically irrelevant alarms.

Optimization of patient alarm settings for monitoring devices utilizing analytics

A method of prioritizing arrhythmia alarms based on one patient's perfusion level includes receiving arterial blood pressure, electrocardiogram heart rate, and arterial pulse rate values of the one patient during a same time window. Analyzing the set of blood pressure values to determine if an arrhythmia event is indicated, where if an arrhythmia event is indicated, the method includes calculating a systolic blood pressure (SBP) ratio, comparing the SBP ratio to a first predetermined threshold, and if the SBP ratio is less than or equal to the first predetermined threshold, then activating a non-perfusion alarm. If the SBP ratio is greater than the first predetermined threshold, then calculating a standard deviation of a rate differential between the heart rate and the pulse rate values, and if the standard deviation is greater than a second predetermined threshold, then activating the non-perfusion alarm. A system and non-transitory computer media is also presented.

System and method for perfusion-based arrhythmia alarm evaluation

An electrocardiogram (ECG) monitoring system configured to determine an index that comprises a set of indicators, where each indicator is indicative of a level of signal quality in an ECG lead. Further, the ECG monitoring system assigns a first indicator from the set of indicators to a first ECG lead signal and communicates the first indicator to a user.

System and method for signal quality indication and false alarm reduction in ECG monitoring systems

A patient monitoring system is disclosed herein. The patient monitoring system includes a computer adapted to assess the health of a patient, and to generate a health status indicator for the patient. The health status indicator comprising a visual gradient adapted to visually convey the assessed health of the patient. The system also includes a display operatively connected to the computer. The display is configured to display the health status indicator comprising the visual gradient.

Patient monitoring system with health status indicator

The method and system includes detecting atrial fibrillation in a patient by monitoring the blood oxygen saturation level over a period of time. The method and system produces a plethysmographic waveform from the monitored blood oxygen saturation level and analyzes the plethysmographic waveform and detected intervals and determines whether the patient is in atrial fibrillation. The method and system is preferably implemented in a software application and may be configured to report to the user on the current state of atrial fibrillation (AFIB) and a current trend.

False positive reduction in SPO2 atrial fibrillation detection using average heart rate and NIBP

A method for monitoring a subject can include acquiring data from the subject, and dynamically adjusting an alarm limit based on the data. The method can also comprise determining a first value that is typical for the subject for the characteristic being monitored, determining a second value for the characteristic being monitored, and generating a comparison based on the two values. The method could also comprise setting a threshold for a characteristic being monitored, and decreasing the alarm limit if the data crosses the threshold. The method could also include setting an extremity limit. The following methods can be applied to the monitoring of a healthcare patient, or other subjects of interest. Also, the values used in the monitoring of the subject can be configured to be transferable from one monitor to another.

Method and apparatus for controlling an alarm while monitoring

A system for selecting physiological data from a plurality of physiological data sources includes first and second physiological data sources and a selection algorithm. The first physiological data source is configured to provide first physiological data. The first physiological data includes a first measurement of a physiological trait. The second physiological data source is configured to provide second physiological data. The second physiological data includes a second measurement of the physiological trait. The first and second measurements are based on different physiological characteristics. The selection algorithm is configured to receive the first and second physiological data and to select one of the first and second measurements as the output data for the physiological trait based on at least one of the first physiological data and the second physiological data.

Growing community of inventors

Hubertus, WI, United States of America

David Alan Sitzman