Abstract: The present invention is a novel method of generating and representing the status of various physiological parameters that are monitored for patients during hospitalization. The system of present invention allows healthcare providers to easily view, at a glance, the status or trend of a patient or a plurality of patients as well as any changes in the parameter values.

Abstract: Systems and methods are provided for quantifying and providing indicia of ST-segment resolution in an electrocardiogram (ECG) signal. A receiver acquires an electrocardiogram (ECG) signal that includes an ST-segment. A processor processes the ECG signal to determine values for the ST-segment deviation relative to an isoelectric baseline. A user is allowed to provide a baseline signal to the processor. The processor responds to the baseline signal by marking a baseline ST-segment value corresponding to a baseline time. A user interface displays a linear graphical trend of variations in the measured ST-segment values relative to the baseline ST-segment value. In certain embodiments, the processor detects user-selected trigger events such as post-intervention ST deviation relative to the baseline time and the baseline ST-segment value, and provides indicia of the trigger event. In addition, or in other embodiments, a verbal annunciation of a percent ST-segment resolution is provided.

Abstract: The present invention is a novel method of generating and representing the status of various physiological parameters that are monitored for patients during hospitalization. The system of present invention allows healthcare providers to easily view, at a glance, the status or trend of a patient or a plurality of patients as well as any changes in the parameter values.

Abstract: Systems and methods are provided for quantifying and providing indicia of ST-segment resolution in an electrocardiogram (ECG) signal. A receiver acquires an electrocardiogram (ECG) signal that includes an ST-segment. A processor processes the ECG signal to determine values for the ST-segment deviation relative to an isoelectric baseline. A user is allowed to provide a baseline signal to the processor. The processor responds to the baseline signal by marking a baseline ST-segment value corresponding to a baseline time. A user interface displays a linear graphical trend of variations in the measured ST-segment values relative to the baseline ST-segment value. In certain embodiments, the processor detects user-selected trigger events such as post-intervention ST deviation relative to the baseline time and the baseline ST-segment value, and provides indicia of the trigger event. In addition, or in other embodiments, a verbal annunciation of a percent ST-segment resolution is provided.

Abstract: Systems and methods are provided for quantifying and providing indicia of ST-segment resolution in an electrocardiogram (ECG) signal. A receiver acquires an electrocardiogram (ECG) signal that includes an ST-segment. A processor processes the ECG signal to determine values for the ST-segment deviation relative to an isoelectric baseline. A user is allowed to provide a baseline signal to the processor. The processor responds to the baseline signal by marking a baseline ST-segment value corresponding to a baseline time. A user interface displays a linear graphical trend of variations in the measured ST-segment values relative to the baseline ST-segment value. In certain embodiments, the processor detects user-selected trigger events such as post-intervention ST deviation relative to the baseline time and the baseline ST-segment value, and provides indicia of the trigger event. In addition, or in other embodiments, a verbal annunciation of a percent ST-segment resolution is provided.

Abstract: Systems and methods are provided for quantifying and providing indicia of ST-segment resolution in an electrocardiogram (ECG) signal. A receiver acquires an electrocardiogram (ECG) signal that includes an ST-segment. A processor processes the ECG signal to determine values for the ST-segment deviation relative to an isoelectric baseline. A user is allowed to provide a baseline signal to the processor. The processor responds to the baseline signal by marking a baseline ST-segment value corresponding to a baseline time. A user interface displays a linear graphical trend of variations in the measured ST-segment values relative to the baseline ST-segment value. In certain embodiments, the processor detects user-selected trigger events such as post-intervention ST deviation relative to the baseline time and the baseline ST-segment value, and provides indicia of the trigger event. In addition, or in other embodiments, a verbal annunciation of a percent ST-segment resolution is provided.

Abstract: A system for providing auditory feedback may include a blood pressure monitor interface for acquiring pressure waveform data from a pressure transducer indicative of blood pressure readings over time. The system may further include an anatomic location annunciator for generating an audible signal from the pressure waveform data that conveys information about the anatomic location of the pressure transducer within the heart chamber or blood vessel.

Abstract: Various attributes for medical CAD analysis used alone or in combination are disclosed, including: (1) using medical sensor data and context information associated with the configuration of the medical system to provide recommendations for further acts to be performed for more accurate or different diagnosis, (2) recommending further acts to be performed and providing an indication of the importance of the further act for further diagnosis, (3) distributing the computer-assisted diagnosis software and/or database over multiple systems, and (4) transmitting patient data to a remote system for CAD diagnosis and using the results of the CAD diagnosis at the remote facility.

Abstract: Various attributes for medical CAD analysis used alone or in combination are disclosed, including: (1) using medical sensor data and context information associated with the configuration of the medical system to provide recommendations for further acts to be performed for more accurate or different diagnosis, (2) recommending further acts to be performed and providing an indication of the importance of the further act for further diagnosis, (3) distributing the computer-assisted diagnosis software and/or database over multiple systems, and (4) transmitting patient data to a remote system for CAD diagnosis and using the results of the CAD diagnosis at the remote facility.