Abstract: Arrhythmia may impact the determination of physiological information from a physiological signal. A patient monitoring system may detect the presence of arrhythmia based on changes in the physiological signal. Derived value data sets may be extracted from the physiological signal and calculations performed to generate arrhythmia features. The arrhythmia features may be used to generate an arrhythmia indicator that may indicate the presence of arrhythmia in the physiological 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: Provided are systems and methods for processing a physiological signal in order to detect whether a patient's breathing is being controlled by a ventilator. A signal, such as a photoplethysmograph (PPG) may be processed to determine one or more various metrics indicative of the consistency of the patient's respiration.

Abstract: Systems and methods are provided for detecting held breath events. A physiological signal, such as a photoplethysmograph (PPG) signal, is processed to extract respiration-related morphology metric signals. The morphology signals are analyzed to determine when a patient's breath is being held.

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 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. A practitioner may choose to be informed of the presence of sleep apnea events if the blood oxygen concentration is less then a preset limit, if an upper limit has been reached for an integral representing the severity of the oxygen deprivation over time, or anytime sleep apnea events may be present in the signal.

Abstract: A patient monitoring system may receive a photoplethysmograph (PPG) signal including samples of a pulse waveform. A plurality of morphology metric signals may be generated from the PPG signal. The system may generate an autocorrelation sequence for each of the morphology metric signals. An autocorrelation metric may be generated from each of the autocorrelation sequences and may represent the regularity or periodicity of the morphology metric signal. The autocorrelation sequences may be combined to generate a combined autocorrelation sequence, with the weighting of the autocorrelation sequences based on the autocorrelation metric. The combined autocorrelation sequence may be used to determine physiological information.

Abstract: A patient monitoring system may receive a physiological signal such as a photoplethysmograph (PPG) signal. A plurality of respiration morphology signals may be determined from the PPG signal. Principal component analysis may be performed on the respiration morphology signals, resulting in one or more principal components. Respiration information such as respiration rate may be determined at least in part from a principal component that corresponds to a respiration source signal.

Abstract: A patient monitoring system may receive a physiological signal such as a photoplethysmograph (PPG) signal. A plurality of respiration morphology signals may be determined from the PPG signal. Independent component analysis may be performed on the respiration morphology signals, resulting in a plurality of independent components. An independent component corresponding to a respiration source signal may be selected from the plurality of independent components. Respiration information such as respiration rate may be determined based at least in part on the selected independent component.

Abstract: Arrhythmia may impact the determination of physiological information from a physiological signal. A patient monitoring system may detect the presence of arrhythmia based on changes in the physiological signal. Derived value data sets may be extracted from the physiological signal and calculations performed to generate arrhythmia features. The arrhythmia features may be used to generate an arrhythmia indicator that may indicate the presence of arrhythmia in the physiological signal.

Abstract: A patient monitoring system may generate a derivative signal from a physiological signal. The derivative signal may be filtered based on a pulse rate estimate associated with the physiological signal. A plurality of crossing points may be determined for the filtered derivative signal and translated to the derivative signal. A plurality of fiducial points may be determined for the derivative signal based on the plurality of crossing points. The plurality of fiducial points may be utilized to determine physiological information from the physiological signal.

Abstract: Certain embodiments of the present disclosure provide a system and method for analyzing a physiological signal detected from an individual. The system may include a physiological signal detection module configured to detect the physiological signal of the individual, a wavelet formation module configured to form a wavelet based on the physiological signal, and a wavelet transform module configured to generate a scalogram by transforming the physiological signal with the wavelet based on the physiological signal.

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 identity 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: 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: A patient monitoring system may acquire a time series of oxygen saturation data based on a physiological signal. A potential apneic event may be detected in the time series of oxygen saturation data in the form of a desaturation followed by a resaturation defined by a fall peak, nadir, and rise peak crossing respective thresholds. The potential apneic event may be qualified using a plurality of metrics derived from a portion of the time series of oxygen saturation data that corresponds to the potential apneic event. The qualified apneic event may be classified as being due to one of central apnea and obstructive apnea based on the output of a classification neural network the inputs to which comprise at least a second plurality of metrics.

Abstract: Arrhythmia may impact the determination of physiological information from a physiological signal. A patient monitoring system may detect the presence of arrhythmia based on changes in the physiological signal. Derived value data sets may be extracted from the physiological signal and calculations performed to generate arrhythmia features. The arrhythmia features may be used to generate an arrhythmia indicator that may indicate the presence of arrhythmia in the physiological signal.

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. A practitioner may choose to be informed of the presence of sleep apnea events if the blood oxygen concentration is less then a preset limit, if an upper limit has been reached for an integral representing the severity of the oxygen deprivation over time, or anytime sleep apnea events may be present in the signal.

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: The present disclosure relates generally to patient monitoring systems and, more particularly, to signal analysis for patient monitoring systems. In one embodiment, a method of analyzing a detector signal of a physiological patient sensor includes obtaining the detector signal from the physiological patient sensor, and determining a ratio of the signal between two or more channels. A distribution of the angles between the points of the ratio over time may be used to determine a true ratio or a ratio of ratios for use in the determination of a physiological parameter.

Abstract: A patient monitoring system may determine portions of a PPG signal that correspond to artifacts, to a baseline shift that exceeds a threshold, or to a pulse-to-pulse variability that exceeds a threshold. The patient monitoring system may identify a contiguous portion of the PPG signal that does not include the determined portions. The contiguous portion of the PPG signal may be used to determine physiological information.