Abstract: There is provided a system and method for integrating voice with a medical device. More specifically, in one embodiment, there is provided a medical device comprising a speech recognition system configured to receive a processed voice, compare the processed voice to a speech database, identify a command for the medical device corresponding to the processed voice based on the comparison, and execute the identified medical device command.

Abstract: Embodiments relate to systems and methods for displaying graphical icons representing a detected medical condition or a sensor fault. Specifically, embodiments of relate to a monitoring system that includes a sensor configured to obtain a physiologic signal from a patient, and a monitor communicatively coupled to the sensor and configured to receive the signal. In an embodiment, the monitor includes a processor adapted to compute physiological data based on the signal and identify a pattern in the physiological data, wherein the pattern relates to a condition of the patient, the sensor, or the monitor. In an embodiment, the processor also selects a graphical icon indicative of the pattern and provides the selected icon to a display.

Abstract: Embodiments of the present invention relate to monitoring systems. One embodiment includes a monitoring system comprising a monitor configured to receive input relating to patient physiological parameters and to store historical data related to the parameters. Further, the system comprises a screen configured to display the historical data corresponding to the patient physiological parameters, and a display control feature configured to automatically find and display an event in the historical data on the screen when the display control feature is activated.

Abstract: A technique is provided for processing a physiological signal. The technique includes performing one or more multi-resolution decompositions on a physiological signal and one or more morphological operations on some or all of the respective decomposition components. In one embodiment, the technique is implemented as iteratively wavelet transformations where morphological operations, such as erosions and dilations, are applied to modify some or all of the respective wavelet coefficients. The modified wavelet coefficients may then be reconstructed to generate a clean version of the physiological signal from which some or all of the noise and/or artifacts have been removed.

Abstract: Present embodiments are directed to a system and method capable of detecting and graphically indicating physiologic patterns in patient data. For example, present embodiments may include a monitoring system that includes a monitor capable of receiving input relating to patient physiological parameters and storing historical data related to the parameters. Additionally, the monitoring system may include a screen capable of displaying the historical data corresponding to the patient physiological parameters. Further, the monitoring system may include a pattern detection feature capable of analyzing the historical data to detect a physiologic pattern in a segment of the historical data and capable of initiating a graphical indication of the segment on the screen when the physiologic pattern is present in the segment.

Abstract: Present embodiments are directed to a system and method capable of detecting and graphically indicating physiologic patterns in patient data. For example, present embodiments may include a monitoring system that includes a monitor capable of receiving input relating to patient physiological parameters and providing indications or alarms related to oxygen saturation declines and oxygen desaturation patterns associated with sleep apnea. Present embodiments may include methods and systems for mediating between alarms and other indicators associated with oxygen desaturation and ventilatory instability.

Abstract: Present embodiments are directed to a system and method capable of detecting and graphically indicating physiologic patterns in patient data. For example, present embodiments may include a monitoring system that includes a monitor capable of receiving input relating to patient physiological parameters and storing historical data related to the parameters. Additionally, the monitoring system may include a screen capable of displaying the historical data corresponding to the patient physiological parameters. Further, the monitoring system may include a pattern detection feature capable of analyzing the historical data to detect a physiologic pattern in a segment of the historical data and capable of initiating a graphical indication of the segment on the screen when the physiologic pattern is present in the segment.

Abstract: The present disclosure may describe a system and method for displaying detailed information about a patient at a time selectable from a trend line of historic data. For example, the patient's SpO2, pulse rate, status, and so forth may be recorded over time. One or more trend lines of the recorded data over time may be displayed, and a user may select a point of interest from the trend line. Detailed data corresponding to that point of interest may then be displayed, for example, next to the trend line or on a separate screen. The detailed information may appear in the form of a pop-up box that does not obscure the trend line. In embodiments, the user may select the data point by moving a cursor or placing a pointing device on the trend line. The detailed information may be displayed automatically or may be activated by further user action.

Abstract: The present disclosure may provide a system and method for analyzing data acquired using a physiological monitor. In one embodiment, the analysis is performed on the physiological monitor and results in the analysis of data collected by the physiological monitor over an interval of time. The analysis may include comparing the data to sample data representative of known disease states and/or may include performing statistical analyses or recalculations of the data based on adjusted monitor settings. In one embodiment, the settings of the physiological monitor may be adjusted based on the results of the analyses.

Abstract: Provided herein is a patient monitoring alarm escalation system and method, according to embodiments, which may include a medical device configured to measure physiological data received via a patient monitor configured to initiate an alarm in response to predefined measurements of the physiological data. The medical device is configured to communicate with a medical station and escalate an alarm if an alarm acknowledgement mechanism at the medical station is not activated.

Abstract: The present disclosure provides a system and method for facilitating user input of alarm settings for a patient monitor. In various embodiments, a pulse oximetry monitor may include a graphical user interface (GUI) which is capable of displaying a graph of blood oxygen saturation percentage over time. The system may be capable of allowing a user to enter an alarm threshold value and/or an alarm integration threshold value. The alarm threshold value may be displayed as a line on the graph, and the alarm integration threshold value may be displayed as a shaded area on the graph. The GUI may include an indicator of where an alarm would be initiated given the graph, the input alarm threshold value, and/or the alarm integration threshold value. The disclosed GUI may provide the user with a clear illustration of how the alarm threshold value and alarm integration threshold value may affect the alarm.

Abstract: Embodiments disclosed herein may include systems and methods for reducing power consumption of a pulse oximeter. The disclosure describes method for measuring oxygen saturation of a patient's blood with a pulse oximeter that switches between a high power mode of operation and one or more low power modes of operation based at least in part upon the data obtained from the patient or otherwise generated by the pulse oximeter. In one embodiment, the disclosure describes a operating a pulse oximeter in a high power mode, the pulse oximeter using a sensor to generate data indicative of the oxygen saturation of the patient's blood at a first resolution and switching the pulse oximeter to a low power mode upon detection of data indicative of a non-critical situation. The low power mode may be selected from a set of available low power modes based at least in part upon the data generated by the pulse oximeter.