An exoskeleton wear management method is provided. The method includes receiving inertial data from a sensing system; determining whether a left leg component of an exoskeleton device is parallel to a left leg of a user and a right leg component of the exoskeleton device is parallel to a right leg of the user according to the received inertial data; in response to determining that the left leg component/the right leg component is not parallel to the left leg/the right leg of the user, prompting an adjusting left leg component message/an adjusting right leg component message; and in response to determining that the left leg component is parallel to the left leg of the user and the right leg component is parallel to the right leg of the user, prompting a left leg component and right leg component correctly-worn message.

Disclosed herein is an electronic apparatus. The electronic apparatus includes an electrode sensor configured to apply a current to an object and configured to measure an impedance of the object, a frequency controller configured to adjust a frequency of the applied current, a memory storing a correlation between an impedance and a vitamin D concentration for each frequency, and a processor configured to obtain the impedance of the object corresponding to the frequency, and to calculate a vitamin D concentration of the object based on the impedance and the correlation.

A smart face mask comprising a mask body; a temperature sensor; a respiration sensor; and a transmitter for transmitting information from the temperature sensor, the respiration sensor and a geotracker to a smart phone or smart watch.

A method for assessing movement of a body portion includes, via one or more machine learning models, analyzing a sensor signal indicative of movement of the body portion to determine a movement of the body portion; determining a sensor confidence level based, at least in part, on a characteristic of the sensor signal; receiving a series of images indicative of movement of the body portion; measuring an angle of movement of the body portion; determining a vision confidence level based, at least in part, on a quality of an identification the body portion; selecting the sensor signal, the measured angle of movement, or a combination thereof as an input into a machine learning model based on the sensor confidence level and the vision confidence level, respectively; analyzing the input to determine a movement pattern of the body portion; and outputting the movement pattern to a user.

Embodiments of devices and methods for evaluating tissue are disclosed. In one embodiment, a method for measuring a characteristic of a tissue may include passing a current through the tissue, measuring a signal corresponding to the voltage resulting from passing the current through the tissue, analyzing current passed through the tissue and resulting voltage to determine the electrical characteristics of the tissue; and analyzing the electrical characteristics of the tissue to determine a status of the tissue. Methods for achieving relatively constant sensor application pressure are disclosed.

An insole mapping apparatus (10C), including: at least one location sensor (20C) and potentially two or more location sensors such as (20A,20B) each for being attached to one organ of the user (19), for measuring locations (21A,21B,21C) of the organs in relation to at least one stationary object (26A); and a processor (29), for determining deformations (36A1) of a body of the user (19) according to the measurements (21A,21B,21C), and for determining an insole map (74) being opposite to the determined deformations (36A1).

Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.

A system for transdermal alcohol sensing to be worn near a skin surface of a user, including: an alcohol sensor; a microporous membrane; a housing coupled to the alcohol sensor and the membrane, defining a volume between the alcohol sensor and a first membrane side, and fluidly isolating the volume from a second membrane side opposing the first membrane side; an electronics subsystem electrically coupled to the alcohol sensor, operable to power and receive signals from the alcohol sensor; and a fastener operable to position the second membrane side proximal the skin surface.

A biological information measurement apparatus includes a processor configured to: if a predetermined number of plural measurements of an oxygen circulation time are to be performed, before a predetermined oxygen-circulation-time measurement period ends during a first measurement of the oxygen circulation time, notify a test subject of a breath-hold instruction as a preparation for a second measurement of the oxygen circulation time, the test subject being a person for whom the oxygen circulation time is measured, the second measurement being a subsequent measurement to the first measurement.

The present application discloses and describes neurostimulation systems and methods that include, among other features, (i) neural stimulation through audio with dynamic modulation characteristics, (ii) audio content serving and creation based on modulation characteristics, (iii) extending audio tracks while avoiding audio discontinuities, and (iv) non-auditory neurostimulation and methods, including non-auditory neurostimulation for anesthesia recovery.