A61B5/0806

Method and device for in-home sleep and signal analysis

The present invention provides a method of conducting a sleep analysis by collecting physiologic and kinetic data from a subject, preferably via a wireless in-home data acquisition system, while the subject attempts to sleep at home. The sleep analysis, including clinical and research sleep studies and cardiorespiratory studies, can be used in the diagnosis of sleeping disorders and other diseases or conditions with sleep signatures, such as Parkinson's, epilepsy, chronic heart failure, chronic obstructive pulmonary disorder, or other neurological, cardiac, pulmonary, or muscular disorders. The method of the present invention can also be used to determine if environmental factors at the subject's home are preventing restorative sleep.

ATTACHED SENSOR ACTIVATION OF ADDITIONALLY-STREAMED PHYSIOLOGICAL PARAMETERS FROM NON-CONTACT MONITORING SYSTEMS AND ASSOCIATED DEVICES, SYSTEMS, AND METHODS
20210235992 · 2021-08-05 ·

The present technology relates to the field of medical monitoring. Patient monitoring systems and associated devices, methods, and computer readable media are described. In some embodiments, a patient monitoring system includes one or more sensors configured to capture first data related to a patient and a monitoring device configured to receive the first data. In these and other embodiments, the patient monitoring system can include an image capture device configured to capture second data related to the patient. In these and still other embodiments, the one or more sensors can be configured to instruct the patient monitoring system to display the second data.

Devices, methods, systems, and computer program products for 4-dimensional ultrasound imaging

An ultrasound imaging system can include first and second ultrasound transducer arrays and a processor circuit, coupled to the first and second ultrasound transducer arrays. The processor circuit can be configured to generate separate first and second volumetric ultrasound image data sets using the first and second ultrasound transducer arrays respectively and configured to combine the separate first and second volumetric ultrasound image data sets to generate an integrated volumetric image.

APPARATUS, SYSTEMS, AND METHODS FOR MONITORING RESPIRATORY FUNCTION
20210298673 · 2021-09-30 ·

Systems for monitoring respiratory function of a person include a garment configured to be worn on a torso of the person. The garment includes one or more reference patterns positioned on the anterior torso of the person when the garment is worn. A camera is used to capture, at a first time, at least one image of the person immediately prior to inhalation, and immediately prior to exhalation, and to capture, at a second time, at least one image of the person immediately prior to inhalation, and immediately prior to exhalation. A computing device is used to transmit the images to a remote computing device for analysis.

BODY VIBRATION ANALYSIS SYSTEMS AND METHODS

Embodiments herein relate to body vibration analysis systems and methods. In an embodiment, a body vibration analysis system is included having a first light source configured to illuminate a surface of the body from a first angle with a first set of lighted features and a second light source configured to illuminate a surface of the body from a second angle with a second set of lighted features, wherein the second set of lighted features are optically distinguishable from the first set of lighted features. The system further includes a camera configured to detect light reflected from the surface of the body and a control circuit configured to receive an input from the camera and assess spatial vibration as a function of location on the surface of the body. Other embodiments are also included herein.

CALIBRATION FOR CONTINUOUS NON-INVASIVE BLOOD PRESSURE MONITORING USING ARTIFICIAL INTELLIGENCE
20210193311 · 2021-06-24 ·

A system for continuous non-invasive blood pressure monitoring may include processing circuitry configured to determine calibration data for a continuous non-invasive blood pressure model at a calibration point, receive, from an oxygen saturation sensing device, a PPG signal at a particular time subsequent to the calibration point, derive values of the set of metrics for the patient from the PPG signal, and determine, using the continuous non-invasive blood pressure model and based at least in part on inputting the calibration data determined at the calibration point, the values of the set of metrics, and an elapsed time at the particular time since the calibration point into the continuous non-invasive blood pressure model, a blood pressure of the patient at the particular time.

RESPIRATORY STATE ESTIMATING DEVICE, PORTABLE DEVICE, WEARABLE DEVICE, MEDIUM, RESPIRATORY STATE ESTIMATING METHOD AND RESPIRATORY STATE ESTIMATOR
20210128017 · 2021-05-06 ·

Provided is a respiratory state estimating device including a pulse wave signal acquiring unit that acquires a pulse wave signal from a portion of a living subject, a pulse rate calculating unit that calculates a pulse rate of the living subject based on the pulse wave signal, and a respiratory state estimating unit that estimates a respiratory state of the living subject based on the pulse rate. Also, provided is a respiratory state estimating method including optically acquiring a pulse wave signal from a portion of a living subject, calculating a pulse rate of the living subject based on the pulse wave signal, estimating a respiratory state of the living subject from the pulse rate.

INDICATOR DETERMINATION
20210145303 · 2021-05-20 ·

A system for generating an indicator at least in part relating to fluid levels in a biological subject, the system including one or more processing devices that, in response to at least one impedance measurement performed on the subject determine a parameter value at least in part using results of the at least one impedance measurement, perform an assessment to determine if the parameter value is indicative of a meaningful change in a subject normal, the subject normal being based on results of a plurality of previous impedance measurements and use results of the assessment to generate an indicator indicative of fluid levels or selectively update the subject normal.

System and Method for Monitoring Oxygen Saturation
20210145310 · 2021-05-20 ·

A method and system for monitoring oxygen saturation of a patient are provided. An example system includes a wearable device having a first optical sensor to measure a first red wavelength photoplethysmography (PPG) signal and a first infrared wavelength PPG signal and a second optical sensor to measure a second red wavelength PPG signal and a second infrared wavelength PPG signal. The system further includes a processor configured to determine that conditions for calibration of the first optical sensor are satisfied, determine a first ratio for obtaining the oxygen saturation, a first parameter for modifying the first red wavelength PPG signal, a second parameter for modifying the first infrared wavelength PPG signal, and a second ratio for obtaining the oxygen saturation. The processor is further configured to determine a value of the oxygen saturation and provide a message regarding a health status of the patient.

METHOD, APPARATUS, AND SYSTEM FOR DETERMINING A VALUE OF ONE OR MORE PARAMETERS OF A RESPIRATORY EFFORT OF A SUBJECT
20210106258 · 2021-04-15 ·

A method, apparatus, and system for determining a value of one or more parameters of a respiratory effort of a subject, including obtaining a thoracic signal (T), the thoracic signal (T) being an indicator of a thoracic component of the respiratory effort, obtaining an abdomen signal (A), the abdomen signal (A) being an indicator of an abdominal component of the respiratory effort, and determining, without directly measuring, the value of the one or more parameters of the respiratory effort by using constraints and/or relationships of components of a model of a respiratory system of the subject, and fitting the components of the model of the respiratory system of the subject with data from the obtained thoracic signal (T) and data from the obtained abdomen signal (A).