Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

An analyte sensor system is provided. The system includes a base configured to attach to a skin of a host. The base includes an analyte sensor configured to generate a sensor signal indicative of an analyte concentration level of the host, a battery, and a first plurality of contacts. The system includes a sensor electronics module configured to releasably couple to the base. The sensor electronics module includes a second plurality of contacts, each configured to make electrical contact with a respective one of the first plurality of contacts, and a wireless transceiver configured to transmit a wireless signal based at least in part on the sensor signal. The system includes a first sealing member configured to provide a seal around the first and second plurality of contacts within a first cavity. Related analyte sensor systems, analyte sensor base assemblies and methods are also provided.

Wellness capture devices, systems for tracking wellness of an individual and/or a team, and methods of tracking wellness of an individual and/or a team are described. A wellness tracking device includes a housing and a cover that cooperatively define a chamber, a circuit board disposed in the chamber and including a system on a chip module, a vibration motor, a light diffuser, a first attachment member attached to the housing and a second attachment member disposed on an outer surface of the housing opposite the cover.

The present invention relates to a device, system and method for determining a vital sign of a person. To improve accuracy and reliability of vital sign determination, the device comprises an input unit (20) for obtaining a vital sign related signal of at least a body part of the person, from which a vital sign can be derived, a body part position determining unit (21) for determining if said body part of the person is in contact with a support or not and generating a contact signal indicating if said body part is in contact with the support or not, a quality metric setting unit (22) for setting, based on said contact signal, a quality metric for use in the determination of a vital sign of the person, and a vital sign deriving unit (23) for deriving a vital sign from the obtained vital sign related signal, wherein the set quality metric is used in the derivation of the vital sign and/or in a judgment of the reliability of a derived vital.

A system for facilitating resuscitation includes: a first electrode assembly having a therapy side and a first motion sensor; a second electrode assembly having a therapy side and a second motion sensor; processing circuitry operatively connected to and programmed to receive and process signals from the first and second motion sensors to estimate at least one of a chest compression depth and rate during administration of chest compressions and to compare the chest compression depth or rate to a desired range; and an output device for providing instructions to a user to administer chest compressions based on the comparison of the estimated chest compression depth or rate to the desired range. One or both of the electrode assemblies may be constructed so that the conductive therapeutic portion is able to maintain substantial conformance to the anatomy of the patient when coupled thereto. For example, at least a portion of the flexible electrode pad may be able to flex from a more rigid sensor housing, or the sensor housing itself may be relatively small compared to the flexible electrode pad so as not to cause lift off of the therapeutic side from the patient.

A health monitoring system and corresponding method for monitoring a physiological condition of a user may include collecting, by a monitoring device, measurements representing physiological signals of the body, transmitting the measurements from the monitoring device to a local device, and receiving, at a remote server, the measurements and additional data from the local device. The remote server may include a processing module, a review portal and a clinician portal, such that the remote server may be arranged to automatically classify the measurements representing physiological signals of the body, verify the classifications, and provide the verified measurements at a clinician portal.

Provided are structurally-reconfigurable, optical metasurfaces constructed by, for example, integrating a plasmonic lattice array in the gap between a pair of microbodies that serve to locally amplify the strain created on an elastomeric substrate by an external mechanical stimulus. The spatial arrangement and therefore the optical response of the plasmonic lattice array is reversible.

A method for calibrating respective estimated joint axis directions for each of a pair of body mounted sensors, one of the pair of sensors being located to each side of the joint comprising a joint axis, the sensors each calculating a pitch angle about respective first sensor axes and a roll angle about respective second sensor axes, the first and second sensor axes together with a third sensor axis orthogonal to the first and second sensor axes forming a sensor frame, the method comprising: receiving orientation data for each of the two sensors, the orientation data being associated with at least two different poses of the joint for each of the two sensors and the orientation data comprising the pitch angle and the roll angle of the sensor for each pose; calculating a sensor frame estimated gravity vector for each pose associated with each sensor based on the pitch and roll angles for each pose associated with each sensor and a gravity vector running along a vertical direction; and determining the estimated joint axis directions for the joint axis, relative to the first and second sensor axes, for each sensor that minimise a loss function concerning projections of each sensor frame estimated gravity vector for each pose associated with each sensor on to the estimated joint axis direction for the respective sensor.

A wearable stethoscope includes a sound sensing device for collecting heart sound signals of the body, an electrocardiogram sensing device for collecting electrocardiogram signals of the body, a processing unit, powered by a power source, coupled to the sound sensing device and the electrocardiogram sensing device to perform data preprocessing on the above-mentioned signals to remove background noise. An external electronic computing device is set up to analyze and process the fed pre-processed ECG signal and heart sound signal, perform feature extraction in combination with the user's physiological parameters and medical records to obtain related feature vectors, input the feature vectors into a screening model, obtain an evaluation value and give corresponding suggestions. After screening, users can upload the verification results to the cloud database to expand the existing training samples for further optimizing the parameters of the screening model.

A method of operating a storage system is provided. The method includes executing an operating system on one or more processors of a compute device that is coupled to one or more solid-state drives and executing a file system on the one or more processors of the compute device. The method includes configuring the compute device with one or more replaceable plug-ins that are specific to the one or more solid-state drives, and executing a flash translation layer on the one or more processors of the compute device, with assistance through the one or more replaceable plug-ins for reading and writing the one or more solid-state drives.