Abstract: The present disclosure provides systems and methods for correcting for errors dependent upon spectral characteristics of tissue for a medical device by estimating a spectral characteristic of tissue providing error due to scattering or absorption of emitted light based upon a ratio of measurements for a patient.

Abstract: Embodiments disclosed herein may include systems and methods for determining a patient's respiratory effort and blood oxygen saturation based on data acquired from a pulse oximetry sensor and analyzing the parameters in conjunction with each other. For example, the respiratory effort may be determined based on a photo-plethysmographic waveform generated from light attenuation detected by the sensor, and the blood oxygen saturation may be a pulse-based estimate of arterial blood oxygen saturation determined from the detected attenuation. Analysis of the parameters may enable detection and classification of apnea (e.g., obstructive or central) or another underlying cause for respiratory instability. Furthermore, the measured respiratory effort may be compared to respiratory effort supplied by a ventilator to ensure proper sensor placement before enabling automatic adjustment of ventilator settings.

Abstract: Methods and systems are presented for determining whether a regional oximetry sensor is properly positioned on a subject. First and second metric values may be determined based on respective first and second light signals. The first and second metric values and a relationship between the first and second metrics are used to determine whether the sensor is properly positioned on the subject. The first and second metrics may form a pair of metrics, and whether the sensor is properly positioned on the subject may be determined based on whether the pair of metrics falls within a sensor-on region. In some embodiments, a plurality of metrics may be determined based on a plurality of received physiological signals. The plurality of metrics may be combined, using, for example, a neural network, to determine whether the regional oximetry sensor is properly positioned on a subject.

Abstract: Embodiments of the present invention relate to a method for analyzing pulse data. In one embodiment, the method comprises receiving a signal containing data representing a plurality of pulses, the signal generated in response to detecting light scattered from blood perfused tissue. Further, one embodiment includes performing a pulse identification or qualification algorithm on at least a portion of the data, the pulse identification or qualification algorithm comprising at least one constant, and modifying the at least one constant based on results obtained from performing the pulse identification or qualification algorithm, wherein the results indicate that a designated number of rejected pulses has been reached.

Abstract: Methods and systems are presented for determining whether a regional oximetry sensor is properly positioned on a subject. First and second metric values may be determined based on respective first and second light signals. The first and second metric values and a relationship between the first and second metrics are used to determine whether the sensor is properly positioned on the subject. The first and second metrics may form a pair of metrics, and whether the sensor is properly positioned on the subject may be determined based on whether the pair of metrics falls within a sensor-on region. In some embodiments, a plurality of metrics may be determined based on a plurality of received physiological signals. The plurality of metrics may be combined, using, for example, a neural network, to determine whether the regional oximetry sensor is properly positioned on a subject.

Abstract: Methods and systems are presented for determining whether a regional oximetry sensor is properly positioned on a subject. First and second metric values may be determined based on respective first and second light signals. The first and second metric values and a relationship between the first and second metrics are used to determine whether the sensor is properly positioned on the subject. The first and second metrics may form a pair of metrics, and whether the sensor is properly positioned on the subject may be determined based on whether the pair of metrics falls within a sensor-on region. In some embodiments, a plurality of metrics may be determined based on a plurality of received physiological signals. The plurality of metrics may be combined, using, for example, a neural network, to determine whether the regional oximetry sensor is properly positioned on a subject.

Abstract: Embodiments disclosed herein may describe systems and methods for reducing nuisance alarms using probability and/or accuracy of a measured physiological parameter, such as the pulse rate or SpO2 measurement generated by a pulse oximeter. Embodiments may include methods for adjusting a predetermined alarm threshold based on the probability distribution of the estimated pulse rate and/or oxygen saturation of a patient's blood.

Abstract: A method is provided for determining contact of a sensor with a patient's tissue. The method comprises comparing the intensity of detected light at a first wavelength to a threshold, wherein the first wavelength is not used to determine a physiological characteristic of the patient, and determining if the sensor is in contact with the patient's tissue based on the comparison. In addition, a method is provided for determining the amount of light shunting during operation of the sensor. The method comprises comparing the intensity of detected light at a first wavelength to a threshold, wherein the first wavelength is not used to determine a physiological characteristic of the patient, and determining the amount of light shunting based on the comparison.

Abstract: 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.

Abstract: A physiological monitoring system may use photonic signals to determine physiological parameters. The system may vary parameters of a light drive signal used to generate the photonic signal from a light source such that power consumption is reduced or optimized. Parameters may include light intensity, firing rate, duty cycle, other suitable parameters, or any combination thereof. In some embodiments, the system may use information from a first light source to generate a light drive signal for a second light source. In some embodiments, the system may vary parameters in a way substantially synchronous with physiological pulses, for example, cardiac pulses. In some embodiments, the system may vary parameters in response to an external trigger.

Abstract: A physiological monitoring system may use photonic signals to determine physiological parameters. The system may vary parameters of a light drive signal used to generate the photonic signal from a light source such that power consumption is reduced or optimized. Parameters may include light intensity, firing rate, duty cycle, other suitable parameters, or any combination thereof. In some embodiments, the system may use information from a first light source to generate a light drive signal for a second light source. In some embodiments, the system may vary parameters in a way substantially synchronous with physiological pulses, for example, cardiac pulses. In some embodiments, the system may vary parameters in response to an external trigger.

Abstract: A monitoring system that may include an emission feature capable of emitting light into tissue, a modulator portion capable of modulating the emitter at a modulation frequency to generate photon density waves, a detection portion capable of detecting photons of the photon density waves after propagation through the tissue and capable of providing a distribution of detected photons over a time period for the photon density waves, and an analysis portion capable of calculating a skewness of the distribution and making determinations relating to a value of a physiologic parameter of the tissue based at least in part on the skewness of the distribution.

Abstract: The present disclosure relates, in some embodiments, to devices, systems, and/or methods for collecting, processing, and/or displaying stroke volume and/or cardiac output data. For example, a device for assessing changes in cardiac output and/or stroke volume of a subject receiving airway support may comprise a processor; an airway sensor in communication with the processor, wherein the airway sensor is configured and arranged to sense pressure in the subject's airway, lungs, and/or intrapleural space over time; a blood volume sensor in communication with the processor, wherein the blood volume sensor is configured and arranged to sense pulsatile volume of blood in a tissue of the subject over time; and a display configured and arranged to display a representative of an airway pressure, a pulsatile blood volume, a photoplethysmogram, a photoplethysmogram ratio, the determined cardiac output and/or stroke volume, or combinations thereof.

Abstract: This disclosure describes systems and methods for reducing nuisance alarms associated with monitoring non-physiological parameters in a ventilatory system. Non-physiological parameters may include, but are not limited to, parameters that are internally monitored by the ventilator based on pre-configured ranges dictated by the manufacturer, by an applicable protocol, or by the clinician. Embodiments described herein seek to mitigate nuisance alarms by basing alarm conditions, at least in part, on an integral threshold such that an alarm is not generated when a monitored parameter briefly falls outside an acceptable range by a slight degree, but such that an alarm is generated when a monitored parameter falls outside an acceptable range by a more significant magnitude and/or duration.

Abstract: Systems, methods, sensors, and software for providing enhanced measurement and correction of physiological data are provided herein. In one example, a capacitive sensor of a measurement system is positioned onto tissue of a patient. The capacitive sensor includes one or more conductive elements with associated gain properties that are positioned near optical sensor elements proximate to the tissue of the patient, the optical sensor elements positioned to measure a photoplethysmogram (PPG) for the tissue. The measurement system drives the capacitive sensor and measures capacitance signals associated with the capacitance sensor. The measurement system corrects for at least motion noise in the PPG using the capacitance signals.

Abstract: Systems, methods, apparatuses, and software for providing enhanced measurement and correction of physiological data are provided herein. In a first example, a physiological measurement system is configured to obtain a measured photoplethysmogram (PPG) for a patient, and obtain a reference signal for the patient measured concurrent with the measured PPG, the reference signal including noise components related to at least motion of the patient. The physiological measurement system also is configured to determine a filtered PPG from the measured PPG using at least an adaptive filter with the reference signal to reduce noise components of the measured PPG, determine a final PPG by spectrally subtracting at least a portion of the noise components of the reference signal from the filtered PPG, and identify one or more physiological metrics of the patient based on the final PPG.

Abstract: Methods and systems for determining a physiological parameter in the presence of correlated artifact are provided. One method includes receiving two waveforms corresponding to two different wavelengths of light from a patient. Each of the two waveforms includes a correlated artifact. The method also includes combining the two waveforms to form a plurality of weighted difference waveforms, wherein the plurality of weighted difference waveforms vary from one another by a value of a multiplier. The method further includes identifying one of the weighted difference waveforms from the plurality of weighted difference waveforms using a characteristic of one or more of the plurality of weighted difference waveforms and determining a characteristic of the correlated artifact based at least in part on the identified weighted difference waveform.

Abstract: A physiological monitoring system may use photonic signals to determine physiological parameters. The system may vary parameters of a light drive signal used to generate the photonic signal from a light source such that power consumption is reduced or optimized. Parameters may include light intensity, firing rate, duty cycle, other suitable parameters, or any combination thereof. In some embodiments, the system may use information from a first light source to generate a light drive signal for a second light source. In some embodiments, the system may vary parameters in a way substantially synchronous with physiological pulses, for example, cardiac pulses. In some embodiments, the system may vary parameters in response to an external trigger.

Abstract: Techniques for non-invasive blood pressure monitoring are disclosed. Data corresponding to a patient may be received from a hospital information system. The data may include, for example, drug administration data, medical procedure data, medical equipment data, or a combination thereof. Whether a blood pressure monitoring system needs to be recalibrated may be determined, based at least in part on the received data. If it is determined that the blood pressure monitoring system needs to be recalibrated, the recalibration may be performed and at least one blood pressure measurement of the patient may be computed using the recalibrated blood pressure monitoring system.

Abstract: A physiological monitoring system may use photonic signals to determine physiological parameters. The system may vary parameters of a light drive signal used to generate the photonic signal from a light source such that power consumption is reduced or optimized. Parameters may include light intensity, firing rate, duty cycle, other suitable parameters, or any combination thereof. In some embodiments, the system may use information from a first light source to generate a light drive signal for a second light source. In some embodiments, the system may vary parameters in a way substantially synchronous with physiological pulses, for example, cardiac pulses. In some embodiments, the system may vary parameters in response to an external trigger.