Abstract: Methods and systems are disclosed for tuning first and second wavelet functions to resolve at least one component of a signal. A first characteristic frequency corresponding to a first scale band of interest is determined, and a first wavelet function is tuned to the first characteristic frequency in at least a region of a first scale band of interest. A second characteristic frequency corresponding to a second scale band of interest is determined, and a second wavelet function is tuned to the second characteristic frequency in at least a region of the second scale band of interest. A signal is transformed for the first and second wavelet functions using a continuous wavelet transform to create a transform signal, and a scalogram is generated based at least in part on the transformed signal.

Abstract: Methods and systems are disclosed for producing a plurality of archetype signals in wavelet space at a plurality of wavelet scales. A signal is transformed using a continuous wavelet transform based at least in part on a wavelet function. A scale dependent archetype transformed signal is computed based at least in part on the transformed signal and based at least in part on a natural periodicity of the wavelet function used to transform the signal. Information may be derived about the signal from the archetype transform signal, and stored in memory.

Abstract: Various embodiments may provide methods and systems capable of evaluating physiological parameter data. The methods and systems may include a receiver capable of collecting a signal representative of a physiological status of a patient, a plurality of data analysis components, wherein each of the plurality of data analysis components is capable of generating a metric based on the signal, and an arbitrator communicatively coupled to each of the plurality of data analysis components and capable of generating a single metric from the metrics generated by the plurality of data analysis components.

Abstract: Methods and systems are disclosed for determining information from a signal using least median squares techniques, including determining blood oxygen saturation measurements based at least in part on photoplethysmograph signals. In an embodiment, a Lissajous figure is generated based on multiple measurements and least median squares techniques may be used for one or more of: determining information, assessing measurement confidence, filtering measurements, and choosing a regression analysis technique.

Abstract: Methods and systems are provided for filtering a pulse oximetry signal without making assumptions on the noise statistics of the signal. A pulse oximeter may receive an energy signal proportional to an amount of light detected at the sensor. The energy signal may be converted and digitally processed to estimate physiological data. The pulse oximeter may include a processor configured to execute H? filtering algorithms to estimate physiological data without requiring the variances and/or distributions of measurement and process noise in the signal. In one or more embodiments, the pulse oximeter may also be configured to execute other filtering algorithms which update H? filtering algorithms based on the pulse oximetry signal.

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 method for identifying one or more spot colors in a full color multi-bit image data, and processing the identified spot colors for output on an image printing system is provided. The method includes inputting the full color image data, wherein the full color image data includes a plurality of pixels; analyzing the inputted image to identify the pixels with a spot color from the pixels with a non-spot color, wherein each pixel with a spot color is within a predetermined threshold from a desired color value; processing the identified spot color pixels; and combining the processed spot color pixels with non-spot color pixels to form a data structure.

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: Embodiments described herein may include systems and methods for detecting events that may be associated with sleep apnea. Some embodiments are directed to a system and/or method for automated detection of reduction in airflow events using polysomnograph signals, wherein the reduction in airflow events may relate to sleep apnea. The PSG signals may be limited to four signals, including data from an airflow channel, a blood oxygen saturation channel, a chest movement channel, and an abdomen movement channel. Using information from these channels, some embodiments may automatically identify reduction in airflow events.

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: Various embodiments may provide methods and systems capable of evaluating physiological parameter data. The methods and systems may include monitoring a patient to produce a signal comprising a sequence of numerical values for blood oxygen saturation over a time period. The signal may be analyzed to identify two or more desaturation patterns within the time period, and at least two numerical differences are calculated between the desaturation patterns. A saturation pattern detection index may be calculated using the numerical differences between the desaturation patterns. The saturation pattern detection index may be used to provide an indication of a physiological condition. Other embodiments may provide a medical device that may be used to evaluate physical parameter data according to the techniques described.

Abstract: Embodiments disclosed herein may include systems and methods for evaluating physiological parameter data. Embodiments of methods may include monitoring a patient to produce a signal comprising a sequence of numerical values for a physiological parameter over a time period, calculating an index from the signal, comparing the index to a reported index, and if the index is greater than the reported index, setting the reported index to the value of the index. Embodiments of methods may include calculating a modulation of the signal, comparing the modulation to a previous value of the modulation to identify a trend in the modulation and if the trend corresponds to an undesirable condition, using a first function to increase the reported index. Embodiments of methods may include providing an indication of a physiological status based on the reported index.

Abstract: Embodiments of the present disclosure provide systems and methods for monitoring a patient to produce a signal representing a blood oxygen concentration. The signal may be analyzed to determine the presence of one or more sleep apnea events, and an integral of the signal may be calculated if the signal is outside of a set range or threshold.

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.