Abstract: Systems and methods for processing sensor data and end-of-life detection are provided. In some embodiments, a method for determining the end-of-life of a continuous analyte sensor includes receiving a sensor signal from an analyte sensor. A plurality of risk factors associated with end-of-life symptoms of analyte sensors is evaluated. The risk factors include a downward drift in sensor sensitivity over time, an amount of non-symmetrical, non-stationary noise and a duration of noise. An end-of-life status of the analyte sensor is determined based at least in part on the evaluating. An output related to the end-of-life status of the analyte sensor is provided.

Abstract: In accordance with a system and/or method for monitoring an analyte concentration, a sensor signal indicative of an analyte concentration in a host may be received from an analyte sensor. The sensor signal may be filtered using a Kalman filter having process noise with a process covariance and measurement noise with a measurement covariance. The filtering may include updating a value associated with at least one of the process covariance and the measurement covariance using a value associated with one or more parameters employed in a model of the Kalman filter. A filtered sensor signal representative of the analyte concentration in the host may be output from the Kalman filter.

Abstract: A system and method for separating a venous component and an arterial component from a red signal and an infrared signal of a PPG sensor is provided. The method uses the second order statistics of venous and arterial signals to separate the venous and arterial signals. After reliable separation of the venous and the arterial component signals, the component signals can be used for different purposes. In a preferred embodiment, the respiratory signal, pattern, and rate are extracted from the separated venous component and a reliable “ratio of ratios” is extracted for SpO2 using only the arterial component of the PPG signals. The disclosed embodiments enable real-time continuous monitoring of respiration pattern/rate and site-independent arterial oxygen saturation.

Abstract: A system and method for signal processing to remove unwanted noise components including: (i) wavelength-independent motion artifacts such as tissue, bone and skin effects, and (ii) wavelength-dependent motion artifact/noise components such as venous blood pulsation and movement due to various sources including muscle pump, respiratory pump and physical perturbation. Disclosed are methods, analytics, and their uses for reliable perfusion monitoring, arterial oxygen saturation monitoring, heart rate monitoring during daily activities and in hospital settings and for extraction of physiological parameters such as respiration information, hemodynamic parameters, venous capacity, and fluid responsiveness. The system and methods disclosed are extendable to include monitoring platforms for perfusion, hypoxia, arrhythmia detection, airway obstruction detection and sleep disorders including apnea.

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: 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: A system and method for separating a venous component and an arterial component from a red signal and an infrared signal of a PPG sensor is provided. The method uses the second order statistics of venous and arterial signals to separate the venous and arterial signals. After reliable separation of the venous and the arterial component signals, the component signals can be used for different purposes. In a preferred embodiment, the respiratory signal, pattern, and rate are extracted from the separated venous component and a reliable “ratio of ratios” is extracted for SpO2 using only the arterial component of the PPG signals. The disclosed embodiments enable real-time continuous monitoring of respiration pattern/rate and site-independent arterial oxygen saturation.

Abstract: A system and method for signal processing to remove unwanted noise components including: (i) wavelength-independent motion artifacts such as tissue, bone and skin effects, and (ii) wavelength-dependent motion artifact/noise components such as venous blood pulsation and movement due to various sources including muscle pump, respiratory pump and physical perturbation. Disclosed are methods, analytics, and their uses for reliable perfusion monitoring, arterial oxygen saturation monitoring, heart rate monitoring during daily activities and in hospital settings and for extraction of physiological parameters such as respiration information, hemodynamic parameters, venous capacity, and fluid responsiveness. The system and methods disclosed are extendable to include monitoring platforms for perfusion, hypoxia, arrhythmia detection, airway obstruction detection and sleep disorders including apnea.

Abstract: The present invention relates generally to the prevention and treatment of pressure ulcers and a platform for monitoring, prevention and management of pressure ulcer using a pressure mapping system that records a patient's bed posture, tracks different limbs along with associated statistical pressure image data and produces a summary report for care givers after data analysis and risk assessment. The methodology allows care givers to utilize the stress data and schedule the repositioning of the patient more effectively. The invention relates to creation and using algorithms and analytics for monitoring, prevention and management of pressure ulcers which include time-stamped whole-body pressure distribution data collection and profiling; posture classification, limb detection and tracking; quality of turn and risk assessment; turning schedule and nursing staff utilization for pressure ulcer management; and patient status reporting system customized for caregivers.