Patent application number | Description | Published |
20110276275 | Systems And Methods For Wavelet Transform Scale-Dependent Multiple-Archetyping - 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. | 11-10-2011 |
20120220247 | Systems And Methods For Tunable Wavelet Transform Analysis Of A Signal - 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. | 08-30-2012 |
20120310051 | Systems And Methods For Signal Rephasing Using The Wavelet Transform - Methods and systems are disclosed for defining a physiological parameter. A first physiological signal is transformed into in a complex transform space, the transformed signal having a magnitude and a phase. The transformed signal is rotated by altering its phase. The rotated signal is inverted, and the inverted signal is aligned in phase with a second physiological signal. The aligned inverted signal and the second physiological signal are combined to form a combined signal indicative of the physiological parameter. | 12-06-2012 |
20120310100 | Systems And Methods For Detecting And Monitoring Arrhythmias Using the PPG - Systems and methods for detecting and monitoring arrhythmias from a signal are provided. A signal processing system may transform a signal using a wavelet transformation and analyze changes in features of the transformed signal to detect pulse rhythm abnormalities. For example, the system may detect pulse rhythm abnormalities by analyzing energy parameters, morphology changes, and pattern changes in the scalogram of a PPG signal. Further, the system may detect pulse rhythm abnormalities by analyzing both the PPG signal and its corresponding scalogram. Physiological information, such as cardiac arrhythmia, may be derived based on the detected pulse rhythm abnormality. | 12-06-2012 |
20130007083 | SYSTEMS AND METHODS FOR COMPUTING CONTINUOUS WAVELET TRANSFORM ON A DEDICATED INTEGRATED CIRCUIT - Methods and systems are disclosed for computing one or more continuous wavelet transforms on a dedicated integrated circuit. The systems comprise an integrated circuit having a receiver, memory, and processing circuitry. The receiver receives input data corresponding to an input signal. The memory stores information corresponding to one or more wavelet functions scaled over a set of scales. The processing circuitry is configured to compute, in-parallel, various portions of a single continuous wavelet transform of the input signal based on the received input data and the stored information corresponding to a single wavelet function computed over a set of scales. | 01-03-2013 |
20130024123 | METHODS AND SYSTEMS FOR DETERMINING PHYSIOLOGICAL PARAMETERS USING TEMPLATE MATCHING - A patient monitoring system may be configured to use template matching in determining physiological parameters. A physiological signal may be monitored, and a wavelet transform may be performed. The wavelet transform, or parameters derived thereof such as energy distribution or relative phase difference, may be compared with one or more templates using template matching. Templates may be based on, for example, physiological data, mathematical models, or look-up tables, and may be pre-computed and stored. Physiological parameters may be determined based on the template matching results. Scale variability, confidence metrics, or both, may be used to aid in determining the physiological parameter. | 01-24-2013 |
20130066173 | VENOUS OXYGEN SATURATION SYSTEMS AND METHODS - Methods and systems are discussed for determining venous oxygen saturation by calculating a ratio of ratios from respiration-induced baseline modulations. A calculated venous ratio of ratios may be compared with a look-up table value to estimate venous oxygen saturation. A calculated venous ratio of ratios is compared with an arterial ratio of ratios to determine whether baseline modulations are the result of a subject's respiration or movement. Such a determination is also made by deriving a venous ratio of ratios using a transform technique, such as a continuous wavelet transform. Derived venous and arterial saturation values are used to non-invasively determine a cardiac output of the subject. | 03-14-2013 |
20130066175 | VENOUS OXYGEN SATURATION SYSTEMS AND METHODS - Methods and systems are discussed for determining venous oxygen saturation by calculating a ratio of ratios from respiration-induced baseline modulations. A calculated venous ratio of ratios may be compared with a look-up table value to estimate venous oxygen saturation. A calculated venous ratio of ratios is compared with an arterial ratio of ratios to determine whether baseline modulations are the result of a subject's respiration or movement. Such a determination is also made by deriving a venous ratio of ratios using a transform technique, such as a continuous wavelet transform. Derived venous and arterial saturation values are used to non-invasively determine a cardiac output of the subject. | 03-14-2013 |
20130289413 | SYSTEMS AND METHODS FOR IDENTIFYING PORTIONS OF A PHYSIOLOGICAL SIGNAL USABLE FOR DETERMINING PHYSIOLOGICAL INFORMATION - 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. | 10-31-2013 |
20130296659 | ANGLE DISTRIBUTION TECHNIQUE FOR ANALYZING A PHYSIOLOGICAL SENSOR SIGNAL - 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. | 11-07-2013 |
20150230759 | SYSTEMS AND METHODS FOR FILTERING AUTOCORRELATION PEAKS AND DETECTING HARMONICS - Systems and methods are provided for determining respiration information from physiological signals such as PPG signals. A physiological signal is processed to generate at least one respiration information signal and an autocorrelation sequence is generated based on the at least one respiration information signal. In some embodiments, a respiration peak is identified based on the autocorrelation sequence and a composite peak is generated based on the identified peak and at least one previous respiration peak. Respiration information is calculated based on the composite peak. In some embodiments, a determination is made whether the autocorrelation sequence includes an undesired harmonic. When the autocorrelation sequence includes an undesired harmonic, the autocorrelation sequence may not be used in the calculation of respiration information. | 08-20-2015 |
20150342478 | SYSTEMS AND METHODS FOR DETECTING AND MONITORING ARRHYTHMIAS USING THE PPG - Systems and methods for detecting and monitoring arrhythmias from a signal are provided. A signal processing system may transform a signal using a wavelet transformation and analyze changes in features of the transformed signal to detect pulse rhythm abnormalities. For example, the system may detect pulse rhythm abnormalities by analyzing energy parameters, morphology changes, and pattern changes in the scalogram of a PPG signal. Further, the system may detect pulse rhythm abnormalities by analyzing both the PPG signal and its corresponding scalogram. Physiological information, such as cardiac arrhythmia, may be derived based on the detected pulse rhythm abnormality. | 12-03-2015 |
Patent application number | Description | Published |
20090326349 | Consistent Signal Selection By Signal Segment Selection Techniques - According to embodiments, techniques for selecting a consistent part of a signal, including a photoplethysmograph (PPG) signal, are disclosed. A pulse oximetry system including a sensor or probe may be used to obtain a PPG signal from a subject. Signal peaks may be identified in the PPG signal. Characteristics of the signal peaks, including the amplitude levels of the signal peaks and/or the time-distance between the signal peaks may be used to determine if the PPG signal is consistent. In an embodiment, signal peaks are processed based on a consistency metric, and the processed signal peaks are compared to the consistency metric to determine if the PPG signal is consistent. If the PPG signal is determined to be consistent, the PPG signal may be further analyzed to determine an underlying signal parameter, including, for example, a patient respiration rate. If the PPG signal is determined to be inconsistent, the inconsistent portion of the signal may be removed from the overall signal or otherwise transformed. | 12-31-2009 |
20100286495 | Selection Of Signal Regions For Parameter Extraction - According to embodiments, techniques for extracting a signal parameter from a selected region of a generally repetitive signal are disclosed. A pulse oximetry system including a sensor or probe may be used to obtain an original photoplethysmograph (PPG) signal from a subject. A filter transformation may be applied to the original PPG signal to produce a baseline PPG signal. The baseline PPG signal may contain artifacts and/or noise, and a region of the baseline PPG signal suitable for extracting the signal parameter may be selected. A suitable region of the baseline PPG signal may be selected by applying one or more thresholds to the baseline PPG signal, where the values of the thresholds may be set based on derivative values, amplitude-based percentiles, and/or local minima and maxima of the baseline PPG signal. A portion of the original PPG signal corresponding to the selected region may be processed, and the signal parameter may be extracted from the processed region. In an embodiment, the signal parameter may correspond to the respiration rate of a patient. | 11-11-2010 |
20120253140 | Systems And Methods For Autonomic Nervous System Monitoring - Methods and systems are disclosed for determining physiological information about a patient's autonomic nervous system based on at least one physiological signal measured from the patient and at least one known characteristic of a patient's respiration. Respiration protocol may be provided to guide characteristics of the patient's respiration. The physiological signal measured from the patient may be transformed using a wavelet transform to create a transformed signal, and a scalogram may be generated based at least in part on the transformed signal. A metric that may indicate information about the patient's autonomic nervous system may be determined from the scalogram and the known characteristic of the patient's respiration. | 10-04-2012 |
20130079601 | SYSTEMS AND METHODS FOR ANALYZING A PHYSIOLOGICAL SENSOR SIGNAL - 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, wherein the detector signal crosses a horizontal boundary more than once. The method also includes determining the relative time and the slope of the detector signal at each boundary crossing. The method further includes estimating the amplitude of the detector signal based, at least in part, on the determined relative time and slope of the detector signal at each boundary crossing. The method also includes determining a physiological parameter of a patient based, at least in part, on the estimate of the amplitude of the detector signal. | 03-28-2013 |
20130079606 | SYSTEMS AND METHODS FOR DETERMINING RESPIRATION INFORMATION FROM A PHOTOPLETHYSMOGRAPH - A patient monitoring system may receive a photoplethysmograph (PPG) signal including samples of a pulse waveform. The PPG signal may demonstrate morphology changes based on respiration. The system may calculate morphology metrics from the PPG signal, the first derivative of the PPG signal, the second derivative of the PPG signal, or any combination thereof. The morphology metrics may demonstrate amplitude modulation, baseline modulation, and frequency modulation of the PPG signal that is related to respiration. Morphology metric signals generated from the morphology metrics may be used to determine respiration information such as respiration rate. | 03-28-2013 |
20130079656 | SYSTEMS AND METHODS FOR DETERMINING RESPIRATION INFORMATION FROM A PHOTOPLETHYSMOGRAPH - A signal representing physiological information may include information related to respiration. A patient monitoring system may generate a plurality of autocorrelation sequences from the signal and combine the autocorrelation sequences to generate a combined autocorrelation sequence. The combined autocorrelation sequence may be analyzed to identify one or more peaks that may correspond to respiration information. Respiration information such as respiration rate may be determined based on the one or more peaks. | 03-28-2013 |
20130079657 | SYSTEMS AND METHODS FOR DETERMINING RESPIRATION INFORMATION FROM A PHOTOPLETHYSMOGRAPH - A signal representing physiological information may include information related to respiration. A patient monitoring system may utilize a wavelet transform to generate a scalogram from the signal. A threshold for the scalogram may be calculated, and scalogram values may be compared to the threshold. One of the scales meeting the threshold may be selected as representing respiration information such as respiration rate. The respiration information may be determined based on the selected scale. | 03-28-2013 |
20130080489 | SYSTEMS AND METHODS FOR DETERMINING RESPIRATION INFORMATION FROM A PHOTOPLETHYSMOGRAPH - 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. | 03-28-2013 |
20130137936 | SYSTEMS AND METHODS FOR DETERMINING RESPIRATION INFORMATION USING HISTORICAL DISTRIBUTION - A patient monitoring system may generate an autocorrelation sequence for a physiological signal such as a photoplethysmograph signal. A series of peak values may be identified for the autocorrelation sequence. The peak values may be modified based on a historical distribution of a physiological parameter. A physiological parameter such as respiration rate may be determined based on the modified peak values. | 05-30-2013 |
20130137945 | Pulse Rate Determination Using Gaussian Kernel Smoothing of Multiple Inter-Fiducial Pulse Periods - Systems and methods are provided for determining the pulse rate of a patient from multiple fiducial points using Gaussian kernel smoothing. Based on acquired pleth signals, each recorded fiducial pulse period is converted to a Gaussian kernel function. The Gaussian kernel functions for all recorded fiducial points are summed to generate a Gaussian kernel smoothed curve. The pulse rate of a patient may be determined from the Gaussian kernel smoothed curve. All acquired fiducial pulse periods contribute to generate the Gaussian kernel smoothing curve. The number of fiducial points utilized may change to improve pulse rate determination or provide additional functionality to the system. | 05-30-2013 |
20130172686 | SYSTEMS AND METHODS FOR DETERMINING PHYSIOLOGICAL INFORMATION USING AUTOCORRELATION WITH GAPS - A patient monitoring system may receive a physiological signal having gap portions in the received data. The gap portions may be identified and a plurality of morphology metric signals may be modified based on the identified gap portions. The morphology metric signals may be modified based on the identified gaps, and a combined autocorrelation sequence may be generated based on the modified morphology metric signals. The combined autocorrelation sequence may be used to determine physiological information. | 07-04-2013 |
20130172767 | SYSTEMS AND METHODS FOR DETERMINING RESPIRATION INFORMATION USING PHASE LOCKED LOOP - A patient monitoring system may receive a physiological signal such as a photoplethysmograph (PPG) signal that exhibits frequency and amplitude modulation based on respiration. A phase locked loop may generate a frequency demodulated signal and an amplitude demodulated signal from the PPG signal. An autocorrelation sequence may be generated for each of the frequency demodulated signal and the amplitude demodulated signal. The autocorrelation sequences may be combined and respiration information may be determined based on the combined autocorrelation sequence. | 07-04-2013 |
20140012109 | CONSISTENT SIGNAL SELECTION BY SIGNAL SEGMENT SELECTION TECHNIQUES - According to embodiments, techniques for selecting a consistent part of a signal, including a photoplethysmograph (PPG) signal, are disclosed. A pulse oximetry system including a sensor or probe may be used to obtain a PPG signal from a subject. Signal peaks may be identified in the PPG signal. Characteristics of the signal peaks, including the amplitude levels of the signal peaks and/or the time-distance between the signal peaks may be used to determine if the PPG signal is consistent. In an embodiment, signal peaks are processed based on a consistency metric, and the processed signal peaks are compared to the consistency metric to determine if the PPG signal is consistent. If the PPG signal is determined to be consistent, the PPG signal may be further analyzed to determine an underlying signal parameter, including, for example, a patient respiration rate. If the PPG signal is determined to be inconsistent, the inconsistent portion of the signal may be removed from the overall signal or otherwise transformed. | 01-09-2014 |
20140073888 | NON-INVASIVE METHOD FOR MONITORING AUTOREGULATION - A system includes a controller that receives a blood pressure signal and an oxygen saturation signal. The blood pressure signal represents a non-invasive measure of blood pressure. The oxygen saturation signal represents a non-invasive measure of oxygen saturation. The controller generates an autoregulation status signal representing a status of cerebral autoregulation. The autoregulation status signal is based, at least in part, on a relationship between the measured blood pressure and the measured oxygen saturation. An exemplary method may include receiving the blood pressure signal and the oxygen saturation signal, defining a relationship between the measured blood pressure and the measured oxygen saturation, determining an autoregulation status based at least in part on the defined relationship, and generating an autoregulation status signal representing the determined autoregulation status. | 03-13-2014 |
20140073930 | MEASURE OF BRAIN VASCULATURE COMPLIANCE AS A MEASURE OF AUTOREGULATION - A system includes a controller that receives a physiological signal representing a non-invasive measure of a physiological parameter. The controller applies a compliance metric to the physiological signal and generates an autoregulation status signal that indicates a status of cerebral autoregulation in the patient. The autoregulation status signal is based at least in part on the compliance metric applied to the physiological signal. | 03-13-2014 |
20140266695 | SYSTEM AND METHOD FOR DISINFECTING AND CHARGING A SENSOR - Methods and systems are provided for disinfecting and recharging a sensor. The sensor may be a wireless sensor, or the sensor may be configured to operate in a wireless mode and in a wired mode. The system may include a charging device configured to provide power to the sensor and/or to recharge a power source of the sensor. The sensor may include a proximity detector configured to provide information relating to a proximity of the sensor to the charging device. Additionally, the sensor may include additional sensors configured to provide information relating to a disinfection process utilized to disinfect the sensor. | 09-18-2014 |
20140266696 | SYSTEMS AND METHODS FOR IDENTIFYING A MEDICALLY MONITORED PATIENT - Systems and methods provided relate to patient sensors and/or patient monitors that recognize and/or identify a patient with physiological signals obtained from the sensor. A scalogram may be produced by applying a wavelet transform for the physiological signals obtained from the sensor. The scalogram may be a three dimensional model (having time, scale, and magnitude) from which certain physiological information may be obtained. For example, unique human physiological characteristics, also known as biometrics, may be determined from the scalograms. More specifically, monitoring the changes in the morphology of the photoplethysmographic (PPG) waveform transforms (e.g., scalogram) may determine patient-specific information that may be used to recognize and/or identify the patient, and that may be used to determine a proper or improper association between the patient and the wireless sensor and/or patient monitor. | 09-18-2014 |
20140275887 | Systems And Methods For Monitoring Respiratory Depression - Methods and systems are disclosed for analyzing a physiological respiratory signal in order to monitor respiratory depression events. In certain embodiments, respiratory depression is monitored by extracting a respiratory signal from a photoplethysmograph (“PPG”) signal, identifying a morphological characteristic of the respiratory signal, and generating a respiratory condition signal. In certain embodiments, an alarm and therapeutic intervention strategy are triggered upon determination of respiratory depression event. In certain embodiments, a plurality of physiological signals are used to determine a respiratory depression event | 09-18-2014 |
20140276165 | SYSTEMS AND METHODS FOR IDENTIFYING PATIENT TALKING DURING MEASUREMENT OF A PHYSIOLOGICAL PARAMETER - A patient monitoring system may include a microphone that generates a sound signal based on sound emanated from a patient. A patient monitoring unit may process the sound signal to identify respiration information such as respiration rate and to determine whether the patient was talking. If the patient was talking, a confidence value may be calculated, which may be used to generate a respiration information value. | 09-18-2014 |
20140323824 | SYSTEMS AND METHODS FOR DETERMINING FLUID RESPONSIVENESS - Provided are systems and methods for processing a physiological signal in order to determine fluid responsiveness of a subject. In some embodiments, a respiration rate of the subject is received or determined, the signal is filtered based on the respiration rate to generate a filtered signal, and the filtered signal is processed to determine fluid responsiveness. In some embodiments, regular respiration is detected and fluid responsiveness is determined when regular respiration is detected. In some embodiments, the respiration of a subject is controlled, and fluid responsiveness is determined during controlled respiration. | 10-30-2014 |
20140323874 | SYSTEMS AND METHODS FOR DETERMINING FLUID RESPONSIVENESS - Provided are systems and methods for processing a physiological signal in order to determine fluid responsiveness of a subject. In some embodiments, a respiration rate of the subject is received or determined, the signal is filtered based on the respiration rate to generate a filtered signal, and the filtered signal is processed to determine fluid responsiveness. In some embodiments, regular respiration is detected and fluid responsiveness is determined when regular respiration is detected. In some embodiments, the respiration of a subject is controlled, and fluid responsiveness is determined during controlled respiration. | 10-30-2014 |
20140323876 | SYSTEMS AND METHODS FOR DETERMINING FLUID RESPONSIVENESS IN THE PRESENCE OF GAIN CHANGES AND BASELINE CHANGES - Methods and systems are provided for determining fluid responsiveness based on physiological signals. The system may detect gain changes or excessive baseline modulations. In some embodiments, based on the detected gain changes or excessive baseline modulations, the system may ignore portions of physiological signals and determine a parameter indicative of fluid responsiveness based on a plurality of amplitudes determined from other portions of the physiological signals. In some embodiments, based on the detected gain changes or excessive baseline modulations, the system may determine fluid responsiveness, or refrain from determining fluid responsiveness. | 10-30-2014 |
20150057554 | SYSTEMS AND METHODS FOR MONITORING BLOOD PRESSURE - Various methods and systems for blood pressure monitoring are provided. A device for monitoring blood pressure may include a memory storing instructions for receiving one or more signals representative of one or more patient parameters, wherein at least one of the one or more signals comprises a plethysmography signal. The memory also stores instructions for determining a change in a pulse shape metric of the plethysmography signal and determining a change in a blood pressure signal over a period of time based on the one or more signals. The memory also stores instructions for determining a confidence level of the blood pressure signal based at least in part on a correlation between the change in the blood pressure signal and the change in the pulse shape metric over the period of time. The device also includes a processor configured to execute the instructions. | 02-26-2015 |
20150112605 | SYSTEMS AND METHODS FOR GENERATING RESPIRATION ALARMS - Systems and methods are provided for generating respiration alarms. Respiration information and oxygen saturation information is determined from a photoplethysmograph (PPG) signal. This information is analyzed in connection with activating a respiration lost alarm. | 04-23-2015 |
20150119664 | SYSTEMS AND METHODS FOR IDENTIFYING VENTILATED BREATHING - 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. | 04-30-2015 |
20150208940 | NON-STATIONARY FEATURE RELATIONSHIP PARAMETERS FOR AWARENESS MONITORING - Methods and systems are presented for determining physiological information in a physiological monitor. A physiological signal (e.g., an EEG signal) received from a subject is wavelet transformed and first and second related features that vary in scale over time are identified in the transformed signal. First and second coupled ridges of the respective first and second related features may also be identified in the transformed signal. A non-stationary relationship parameter is determined and is indicative of the relationship between the first and second features and/or between the first and second ridges. Physiological information, which may be indicative of a level of awareness of a subject, is determined based on the non-stationary relationship parameter. This physiological information may be used, for example, in an operating room to monitor/regulate the subject's anesthetic state while under general anesthesia or in an intensive care unit to monitor the subject's sedateness and administer medication accordingly. | 07-30-2015 |
20150208965 | METHODS AND SYSTEMS FOR DETERMINING A VENOUS SIGNAL USING A PHYSIOLOGICAL MONITOR - A physiological monitoring system may receive a sensor signal from a physiological sensor. The system may determine a first and second change metric based on the sensor signal, and may determine a venous signal based on the change metrics. In some embodiments, the sensor signal may be a photoplethysmograph signal that includes both arterial and venous information. By subtracting a second change metric from a first change metric, arterial contributions may be substantially removed, resulting in a signal primarily comprising venous information. The venous signal may be indicative of changes in the venous blood, and may be used to determine a physiological parameter, for example, blood pressure. The venous signal may also be used to trigger an event, for example, calibration of a blood pressure measurement. | 07-30-2015 |
20150230743 | SENSOR CONFIGURATIONS FOR ANATOMICAL VARIATIONS - A medical sensor includes a first set of optical components configured to obtain a first set of signals for determining a first regional oxygen saturation measurement. The first set of optical components includes a first emitter, a first detector separated from the first emitter by a first distance along a first axis, and a second detector separated from the first emitter by a second distance along the first axis, wherein the second distance is greater than the first distance. The sensor also includes a second set of optical components configured to obtain a second set of signals for determining a second regional oxygen saturation measurement. The second set of optical components includes a second emitter and a third detector separated from the second emitter by a third distance along a second axis, different from the first axis. | 08-20-2015 |
20150257643 | INTERMITTENT OPERATING BATTERY-LESS WIRELESS SENSOR AND PULSE OXIMETER - Systems and method for utilizing energy harvesting techniques to power a battery-less wireless medical sensor to perform intermittent operations are disclosed. The systems may include one or more sensing components configured to generate data related to one or more physiological parameters by performing intermittent measurements on a patient. The systems and method may include wireless communication circuitry configured to wirelessly transmit the data to a monitor. The monitor may be configured to operate with the battery-less wireless medical sensor or may download required operational algorithms if needed. The intermittent measurement and transmission may be asynchronously executed. The systems and method may include a processing device configured to determine when to perform the intermittent measurement and transmit data based at least upon a power source energy level, a rate at which to perform the intermittent measurement and transmit data, a prioritization, or a triggering event. | 09-17-2015 |
20150351699 | SYSTEMS AND METHODS FOR ANALYZING A RESPIRATORY PARAMETER - Methods and systems are provided that determine whether a patient is breathing irregularly. A system may receive a physiological signal, such as a plethysmographic signal or an end-tidal carbon dioxide signal, from a sensor. The system may analyze the signal for one or more features indicative of irregular breathing, which may be a result of a patient talking, moving, yawning, coughing, sneezing, or the like. The system may also be configured to provide an indication of the irregular breathing. | 12-10-2015 |
20150363561 | METHODS AND SYSTEMS FOR PROVIDING THE PROXIMITY OF A PROCESS REQUIREMENT METRIC TO A SYSTEM PROCESS REQUIREMENT - Methods and systems are presented for indicating the proximity of a process requirement metric to a corresponding system process requirement in a physiological monitor. Metrics are determined based on a received physiological signal, such as a PPG signal. At least one of the metrics is compared to a corresponding system process requirement, such as a threshold, which can be used to trigger a system process, such as an alarm, a recalibration, or a measurement. The proximity of the metric to the corresponding system process requirement is calculated and indicated. Indicating the proximity to a system process requirement may provide valuable information to clinicians and allow them to manually trigger system processes, such as measurements or recalibrations, when a metric is close to a system process requirement for a significant period of time. | 12-17-2015 |
20150366516 | SYSTEMS AND METHODS FOR DETERMINING RESPIRATION INFORMATION FROM A PHOTOPLETHYSMOGRAPH - A signal representing physiological information may include information related to respiration. A patient monitoring system may generate a plurality of autocorrelation sequences from the signal and combine the autocorrelation sequences to generate a combined autocorrelation sequence. The combined autocorrelation sequence may be analyzed to identify one or more peaks that may correspond to respiration information. Respiration information such as respiration rate may be determined based on the one or more peaks. | 12-24-2015 |
20160106372 | SYSTEM AND METHOD FOR MONITORING AUTOREGULATION - A method for monitoring autoregulation includes, using a processor, receiving a blood pressure signal and an oxygen saturation signal from a patient. The method also includes determining a linear correlation between the blood pressure signal and the oxygen saturation signal and determining a significance value associated with the linear correlation. The method further includes providing a signal indicative of the patient's autoregulation status to an output device based on the linear correlation and the significance value. | 04-21-2016 |