Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A monitoring or diagnostic device including a display having a display screen on which incoming data from sensors attached to the item or object being monitored by the device is illustrated. The incoming data is represented on the display screen to enable an individual viewing the display screen to determine the current operating condition or parameters of the item or object, such as a patient. The device and display screen can also illustrate various alarm conditions or events, as determined by the device to draw the attention of the individual to those alarm conditions. To assist in this function, the device represents the incoming data from a sensor giving rise to the alarm condition or event, as well as additional incoming data from other sensors corresponding in some manner to the alarm condition, on the display screen in a visually different or distinct manner from the rest of the incoming data not relating to the alarm condition or event.

Abstract: 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. Analysing 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method for managing alarm events in a physiological monitoring system is described. The method includes validating the accuracy of alarm events by checking if the alarm events are noise events. The method further includes identifying a pattern in alarm sequence or an alarm rate of at least one alarm type associated with the alarm events. The alarm rate is the frequency of the occurrence of alarm events for the particular alarm type. Based on the identified pattern in the alarm sequence and the alarm rate and patient data, an alarm level associated with the alarm type is adjusted. The hospital staff is notified depending on the criticality of the adjusted alarm level. Further, the alarm signals are suppressed when either a patient intervention or a pause signal is detected by the physiological monitoring system.

Abstract: 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.