Abstract: Systems and methods for interference and motion detection from dark periods are provided, including analysis of a physiological signal to determine a physiological parameter of a subject, using a photoplethysmography system to monitor signals during an LED-off period to identify interference or motion artifacts in the signal.

Abstract: Systems and methods for interference and motion detection from dark periods are provided, including analysis of a physiological signal to determine a physiological parameter of a subject, using a photoplethysmography system to monitor signals during an LED-off period to identify interference or motion artifacts in the signal.

Abstract: Systems, methods, sensors, and software for providing enhanced measurement and detection of patient pain response are provided herein. In a first example, a measurement system is provided that includes a capacitive system configured to measure a capacitance signal of tissue of the patient using a capacitive sensor applied to the tissue of the patient. The measurement system also includes a patient monitor configured to measure an electrical signal representing brain activity of the patient using a brain activity sensor applied to the tissue of the patient. The measurement system also includes a processing system configured to determine pain metrics based at least on the capacitance signal and the electrical signal, and determine a pain response of the patient based at least on the pain metrics and pain calibration information for the patient.

Abstract: Systems, methods, apparatuses, and software for measuring and determining physiological parameters of a patient are presented. In one example, a physiological measurement system includes an optical system configured to emit one or more optical signals into tissue of a patient, and detect the one or more optical signals after propagation through the tissue. The physiological measurement system includes a capacitance system configured to apply one or more electric field signals to a single side of the tissue to determine a capacitance signal based at least on changes in the one or more electric field signals, and a processing system configured to process at least the one or more detected optical signals and the capacitance signal to determine a physiological parameter of the patient.

Abstract: Systems, methods, sensors, and software for providing enhanced measurement and detection of patient pain response are provided herein. In a first example, a measurement system is provided that includes a capacitive system configured to measure a capacitance signal of tissue of the patient using a capacitive sensor applied to the tissue of the patient. The measurement system also includes a patient monitor configured to measure an electrical signal representing brain activity of the patient using a brain activity sensor applied to the tissue of the patient. The measurement system also includes a processing system configured to determine pain metrics based at least on the capacitance signal and the electrical signal, and determine a pain response of the patient based at least on the pain metrics and pain calibration information for the patient.

Abstract: Systems, methods, sensors, and software for providing enhanced measurement and detection of patient pain response are provided herein. In a first example, a measurement system is provided that includes a capacitive system configured to measure a capacitance signal of tissue of the patient using a capacitive sensor proximate to the tissue of the patient. The measurement system also includes a patient monitor configured to measure an electrical signal representing brain activity of the patient. The measurement system also includes a processing system configured to determine pain metrics based at least on the capacitance signal and the electrical signal, and determine a pain response of the patient based at least on the pain metrics and pain calibration information for the patient.

Abstract: Systems, methods, apparatuses, and software for measuring and determining physiological parameters of a patient are presented. In one example, a physiological measurement system includes an optical system configured to emit one or more optical signals into tissue of a patient, and detect the one or more optical signals after propagation through the tissue. The physiological measurement system includes a capacitance system configured to apply one or more electric field signals to a single side of the tissue to determine a capacitance signal based at least on changes in the one or more electric field signals, and a processing system configured to process at least the one or more detected optical signals and the capacitance signal to determine a physiological parameter of the patient.

Abstract: Systems, methods, apparatuses, and software for measuring and determining physiological parameters of a patient are presented. In one example, a physiological measurement system includes a physiological sensor system configured to detect a physiological signal representative of one or more physiological parameters associated with a patient. The measurement system also includes a capacitance system configured to apply one or more electric field signals to the patient and determine a capacitance signal. The measurement system also includes a processing system configured to reduce a noise level in the physiological signal based on at least the capacitance signal.

Abstract: Systems, methods, sensors, and software for providing enhanced measurement and detection of patient pain response are provided herein. In a first example, a measurement system is provided that includes a capacitive system configured to measure a capacitance signal of tissue of the patient using a capacitive sensor proximate to the tissue of the patient. The measurement system also includes a patient monitor configured to measure an electrical signal representing brain activity of the patient. The measurement system also includes a processing system configured to determine pain metrics based at least on the capacitance signal and the electrical signal, and determine a pain response of the patient based at least on the pain metrics and pain calibration information for the patient.

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: Various methods and systems for the use of capacitance sensors within medical devices configured for patient monitoring are provided. The capacitance sensors are configured to measure a change in capacitance resulting from a material (e.g., human tissue, water, gel, cloth, etc.) placed near (e.g., close proximity to) the medical device and/or resulting from a material making physical contact with the medical device. In certain embodiments, the capacitance sensor may be utilized to detect whether one or more portions of the medical sensor are securely applied to the patient's tissue (e.g., sensor “on”) and/or may be utilized to detect whether one or more portions of the medical sensor fail to maintain secure contact with the patient's tissue (e.g., sensor “off”). Further, in certain embodiments, the capacitance sensor may be utilized to distinguish between one or more types of materials (e.g., human tissue, water-based materials, etc.).

Abstract: Systems, methods, apparatuses, and software for measuring and determining physiological parameters of a patient are presented. In one example, a physiological measurement system includes a physiological sensor system configured to detect a physiological signal representative of one or more physiological parameters associated with a patient. The measurement system also includes a capacitance system configured to apply one or more electric field signals to the patient and determine a capacitance signal. The measurement system also includes a processing system configured to reduce a noise level in the physiological signal based on at least the capacitance signal.