Patient sleep is staged using personalized circadian models built with data collected by wearable devices over daytime and nighttime hours, thus capturing a patient's personal circadian rhythms. The circadian model is used to identify sleep intervals in incoming nightly data for the patient. The identified sleep intervals are analyzed by the machine learning system which stages epochs of sleep. Methods include receiving patient heart rate data from over a plurality of circadian cycles; creating a circadian model for the patient with a defined operation for applying sleep labels to new data from the wearable device; applying the circadian model to nightly test data from the device to identify a sleep interval; and assigning, with a classifier, sleep stages to epochs of the sleep interval.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

Embodiments disclosed herein relate to devices and methods for monitoring one or more physiological parameters of a subject. In an embodiment, a wearable device comprises a substrate configured to attached to a subject's skin. The substrate comprises a middle portion arranged between two end portions, wherein the middle portion is more flexible than at least one of the end portions. The wearable device also comprises a physiological sensor arranged on the middle portion. The physiological sensor is configured to sense a physiological signal of the subject when the wearable device is attached to the subject's skin. And, the wearable device comprises one or more electrical components arranged on at least one of the end portions, wherein at least one of the one or more electrical components is coupled to the physiological sensor.

An apparatus includes data acquisition circuitry and a processor. The data acquisition circuitry is configured to acquire multiple signals using multiple respective electrodes of an array of electrodes coupled to one of an organ of a patient and tissue or a cell culture. The processor is configured to hold a definition of a mixed-norm that is defined as a function of relative positions of the electrodes in the array, and jointly compress the multiple signals in a compressed-sensing (CS) process that minimizes the mixed-norm.

Systems and methods can be used to provide an indication of heart function, such as an indication of mechanical function or hemodynamics of the heart, based on electrical data. For example, a method for assessing a function of the heart can include determining a time-based electrical characteristic for a plurality of points distributed across a spatial region of the heart. The plurality of points can be grouped into at least two subsets of points based on at least one of a spatial location for the plurality of points or the time-based electrical characteristics for the plurality of points. An indication of synchrony for the heart can be quantified based on relative analysis of the determined time-based electrical characteristic for each of the at least two subsets of points.

Devices, systems, and methods herein relate to non-invasive patient monitoring for infection detection and infection resolution. These systems and methods may receive and measure patient biosignals to estimate an infection level of a patient. In some embodiments, a method may include the steps of receiving physiological data of a patient. An infection measure may be estimated based on the physiological data. An infection state of the patient may be detected based at least in part on the estimated infection measure.

Treating kenosis may comprise the following steps: measuring the electrodermal activity of a person by means of an EDA sensor; assessing, on the basis of the electrodermal activity measured, whether the person is currently affected by kinetosis; generating electrical pulses at an electrode in contact with the person's skin in order to treat the kinetosis on the basis of the assessment as to whether the person is currently affected by kinetosis. The sensor and the electrode may be integrated in a device that can be worn on the person's body.

A photonic integrated device comprising: a photonic integrated chip (PIC) adapted to investigate blood flow at a portion of tissue of a user, said PIC comprising: a laser having an optical output, or waveguide for guiding an optical output from an external laser, the optical output being split into a first optical component and a second optical component; wherein the first optical component is arranged to be transmitted to and generate speckle at the portion of tissue of the user; the photonic integrated device further comprising: one or more detectors, each detector configured to receive the speckle generated by the first optical component at the portion of tissue; and one or more optical splitters optically coupling the second optical component to one or more respective input(s) of the one or more detectors; wherein the photonic integrated device is further adapted to measure interference at the one or more detectors between a sample arm formed by the first optical component and a reference arm formed by the second optical component.

Systems and methods for providing algorithmic equipment and/or accessory recommendations are disclosed herein. In one embodiment, a method providing an equipment or accessory recommendation to an athlete includes: monitoring a first amplitude of a first muscle of the athlete by a first wearable muscle response sensor carried by the athlete; monitoring a second amplitude of a second muscle of the athlete by a second wearable muscle response sensor carried by the athlete; determining a difference between the first amplitude and the second amplitude; comparing the difference to a predetermined amplitude threshold; and based on the comparing, providing an equipment or accessory recommendation to the athlete.

A wearable device is provided. The wearable device includes an electronic component and an encapsulant. The encapsulant includes a low-penetrability region encapsulating the electronic component and a high-penetrability region physically separated from the electronic component.