A method for detecting or monitoring respiratory or cardiac health of a patient includes measuring any intravascular or intracardiac pressure (IVP) of a patient over a period of time, said IVP including a measured respiratory wave, defining respiratory effort of the patient as a peak-to-peak amplitude of said respiratory wave, and using the respiratory effort to detect or monitor respiratory and cardiac health of the patient by comparing the respiratory effort with a known value of respiratory effort or by monitoring changes in the respiratory effort of the patient over another period of time.

A surface of a vehicle component can be dynamically deformable surface. The dynamically deformable surface can be configured to undergo deformations to dynamically form a dynamic button or other user interface element on demand. The dynamically deformable surface can include one or more biosensors. When a user engages the dynamic button with a portion of the body, the one or more biosensors can acquire user biodata. The user biodata can be used by the vehicle as input for various purposes. For instance, the vehicle can operate as a health-monitoring and/or comfort monitoring system. As a result of these arrangements, buttons and other user interface elements can appear and disappear depending on the need and/or application, providing a cleaner vehicle cockpit interface and greatly expanding the possibilities of where such buttons can be located at and how many things can be controlled by the driver using physical interfaces.

A method for determining the flexion or extension of a joint of a human or animal subject, comprising: applying a plurality of strain gauges to the joint in a known configuration; applying a first inertial measurement unit, IMU, to each strain gauge; receiving strain data from each of the strain gauges; receiving motion data from each of the IMUs; and calculating the flexion or extension of the joint in dependence on the received strain data, motion data and the configuration of the strain gauges.

An example system for therapy delivery includes one or more processors configured to in response to a prediction indicating that the meal event is to occur, output instructions to an insulin delivery device to deliver a partial therapy dosage, to a device to notify the patient to use the insulin delivery device to take the partial therapy dosage, or to the insulin delivery device to prepare the partial therapy dosage prior to the meal event occurring, and in response to a determination indicating that the meal event is occurring (e.g., based on movement characteristics of a patient arm), output instructions to the insulin delivery device to deliver a remaining therapy dosage, to the device to notify the patient to use the insulin delivery device to take the remaining therapy dosage, or to the insulin delivery device to prepare the remaining therapy dosage.

Embodiments herein relate to ear-wearable systems and devices for detecting heat stress and related methods. In an embodiment, an ear-wearable heat stress risk assessment system is included having a control circuit, a microphone, and a sensor package. The system is configured to process signals of one or more sensors of the sensor package and/or the microphone, detect dehydration symptoms, environmental conditions, and activity levels of a device wearer based on the processed signals, and determine a heat stress risk level based on detected dehydration symptoms, environmental conditions, and activity levels of the device wearer. Other embodiments are also included herein.

Embodiments herein determine when to place a passive assistive call using personal artificial intelligence (AI) assistants. The present embodiments improve upon the base functionalities of the assistant devices by monitoring the usually discarded or filtered-out environmental sounds to identify when a person is in distress to automatically issue an assistive call in addition to or alternatively to monitoring user speech for active commands to place assistive calls. The assistant device may be in communication with various other sensors to enhance or supplement the audio assessment of the persons in the environment, and may be used in a variety of scenarios where prior call systems struggled to quickly and accurately identify distress in various monitored persons (e.g., patients) including falls, stroke onset, and choking.

A healthcare apparatus includes a BCG sensor; a camera; and a processor configured: to detect a ROI) corresponding to the face from the color facial image; to convert the detected first color image into a black and white image to acquire a first black and white image; to convert the detected second color image into a black and white image to acquire a second black and white image; to apply the acquired first black and white image and the acquired second black and white image to a predetermined trained algorithm model to output a remote photoplethysmography (rPPG) signal waveform of the subject; to calculate a first stress index based on the first heart rate variability; to calculate a second stress index based on the second heart rate variability; and to output a stress index of the subject based on the first stress index and the second stress index.

Methods, systems, and devices for temperature analysis are described. The method may include receiving physiological data associated with a user collected via a first set of sensors of a wearable device. The physiological data may include skin temperature data. The method may include receiving surrounding temperature data associated with an environment surrounding the user. The surrounding temperature data may be collected via the first set of sensors, a second set of sensors, or both. The method may additionally include identifying one or more physiological characteristics associated with the user based at least in part on a comparison of the skin temperature data and the surrounding temperature data, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more physiological characteristics, a message or alert associated with the one or more physiological characteristics, or both.

The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g. a digital 3-axis accelerometer) that attaches to the patient's torso and measures an ACC signal indicating movement of the chest or abdomen that is also sensitive to respiratory rate. This second signal is processed with the adaptive filter to determine a final value for respiratory rate.

Systems and methods for providing sensitive and specific alarms indicative of glycemic condition are provided herein. In an embodiment, a method of processing sensor data by a continuous analyte sensor includes: evaluating sensor data using a first function to determine whether a real time glucose value meets a first threshold; evaluating sensor data using a second function to determine whether a predicted glucose value meets a second threshold; activating a hypoglycemic indicator if either the first threshold is met or if the second threshold is predicted to be met; and providing an output based on the activated hypoglycemic indicator.