A method comprising: digitally processing orientation measurements provided by each of first and second inertial measurement units, the first and second units being arranged on first and second body members of a person, respectively, according to a predetermined unit arrangement, and the first and second body members being connected by a joint; the measurements are digitally processed such that the computing device at least: computes a length vector of a segment of the first body member based on a first orientation measurement of the first unit; defines a joint axis plane of the joint based on a second orientation measurement of the second unit; and computes a heading rotation value for making the first orientation measurement to be contained within the joint axis plane defined; and the method further comprising digitally modifying the first orientation measurement or the second orientation measurement by applying a rotation at least based on the heading rotation value computed. Also, a motion tracking system and a computer program product.

Technology is disclosed for detecting scratch events and predicting flares of pruritus, utilizing motion data sensed from a wearable sensor. Detecting scratch may be done with a two-tier approach by first detecting a hand motion from motion sensed data and then classifying that hand motion as a scratch event using one or more computerized classification models. Embodiments may focus on detecting nighttime scratch by utilizing motion sensed data captured during a user's detected sleep opportunity. Additionally, historical scratch event data may be used to predict a user's itch and flare risk for a future time interval. Decision support tools in the form of computer applications or services may utilize the detected scratch events or predicted itch or flare risk to initiate an action for reducing current itch and/or mitigating future risk, including initiating a treatment protocol that includes therapeutic agent.

A sensor on an earpiece is used to attempt to detect a signal corresponding to a heartbeat. If a heartbeat is detected, it can be determined that the earpiece is being worn by a user. The sensor may be an acoustic transducer on a surface of the earpiece that is located within the wearer's ear canal, while the earpiece is being worn normally.

An apparatus for providing information about a user's brain resources is provided. The apparatus includes at least sensor interface circuitry and processing circuitry coupled to the sensor interface circuitry. In a calibration mode, the sensor interface circuitry is configured to receive first sensor data from an electroencephalography sensor. The first sensor data are indicative of an electroencephalogram of the user. Further, the sensor interface circuitry is configured to receive second sensor data from a physiological sensor in the calibration mode. The second sensor data are indicative of a physiological property of the user. In the calibration mode, the processing circuitry is configured to train a brain-physiological model for the user based on the first sensor data and the second sensor data.

Systems and methods for dynamically controlling His-bundle pacing (HBP) according to an indication of a rate-related or intermittent atrioventricular (AV) block in a subject are disclosed. An exemplary medical system includes an AV conduction monitor to detect an indication of either a presence or an absence of intermittent or rate-related AV conduction disturbance using physiologic information of the subject. In the event that an intermittent or rate-related AV conduction disturbance is present, a control circuit provides a control signal to an electrostimulation circuit to deliver HBP pulses. If there is no indication of intermittent or rate-related AV conduction disturbance, or a previously detected intermittent or rate-related AV conduction disturbance has been terminated, the control circuit withholds or discontinues delivery of the HBP pulses to promote intrinsic ventricular conduction and activation.

Systems, devices, and techniques are described for determining a posture state of a patient based on detected evoked compound action potentials (ECAPs). In one example, a medical device includes stimulation circuitry configured to deliver electrical stimulation and sensing circuitry configured to sense a plurality of evoked compound action potential (ECAP) signals. The medical device also includes processing circuitry configured to control the stimulation circuitry to deliver a plurality of electrical stimulation pulses having different amplitude values, control the sensing circuitry to detect, after delivery of each electrical stimulation pulse of the plurality of electrical stimulation pulses, a respective ECAP signal of the plurality of ECAP signals, and determine, based on the plurality of ECAP signals, a posture state of the patient.

A processing system obtain signals that are generated by or generated based on sensors that are included in one or more hearing instruments. Additionally, the processing system determine, based on the signals, whether a posture of a user of the hearing instruments is a target posture. The processing system generate information based on the posture of the user.

Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.

A method of updating a protocol for a Virtual Reality (VR) medical test via a user device having a processor, the VR medical test being performed on a subject via a VR device worn by the subject, wherein the method is performed by the processor and the method comprises: displaying GUI elements associated with the protocol on the user device, the GUI elements having user adjustable settings for modifying a functioning of the VR medical test; receiving a selection input from the user device corresponding to a selection of the GUI elements; receiving a setting input from the user device that corresponds to the selected GUI elements; modifying the user adjustable setting for each of the selected GUI elements according to the corresponding setting input; and updating the protocol based on the user adjustable setting for each of the selected GUI elements and operations associated with the VR device.

A motion monitoring method (500) is provided, which includes: obtaining a movement signal of a user during motion, wherein the movement signal includes at least an electromyographic signal or an attitude signal (510); and monitoring a movement of the user during motion based at least on feature information corresponding to the electromyographic signal or the feature information corresponding to the attitude signal (520).