Various embodiments described herein relate to a method and related wearable device and non-transitory machine-readable medium including receiving sensor data from at least one sensor of the wearable device; comparing the sensor data to schedule format stored in a memory of the wearable device, wherein the schedule format specifies at least one characteristic of sensor readings previously associated with a predefined context; determining that the received sensor data matches the schedule format; determining, based on the received sensor data matching the schedule format, that the user is currently in the predefined context; identifying an action associated with the predefined context; and executing the action while the user is in the predefined con text.

Methods for obtaining a sample from a subject include providing a sample collection room. Samples may be small, e.g., a finger-stick. A method is provided for sample collection comprising: obtaining, in a sample collection room, a sample from said body part of said subject; monitoring activity in the sample collection room using at least two motion capture devices positioned to view a field of interest in the sample collection room; and alerting a technician performing the sample collection if a non-conforming action by the technician is detected by at least one of the motion capture devices.

An apparatus is suitable for measuring a photoplethysmogram (PPG). A photoplethysmographic sensor apparatus may include a casing defining a surface, a plurality of optical emitters configured to emit radiation extending from the surface, at least one photo sensor configured to capture radiation emitted by at least a subset of the plurality of optical emitters. At least a first measurement configuration and a second configuration is defined by the plurality of optical emitters and the at least one photo sensor such that the first and the second measurement configuration provide different measurement channels by including at least partially different sets of at least one optical emitter and at least one photo sensor. The first and second measurement configurations define different spatial configurations, each of which is line symmetric with respect to an imaginary line along the surface.

The present disclosure describes a closed-loop fluid resuscitation and/or cardiovascular drug administration system that uses continuous measurements and adaptive control architecture. The adaptive control architecture uses a function approximator to identify unknown dynamics and physiological parameters of a patient to compute appropriate infusion rates and to regulate the endpoint of resuscitation.

Systems and methods for detecting a traumatic brain injury (TBI). The system comprises a sensing arrangement and a control unit. The sensing arrangement collects eye movement data of a user. The control unit is in communication with the sensing arrangement and configured to compare the eye movement data to one or more baseline measurements of eye movement dynamics. The control unit is also configured to generate an alert indicating the presence or severity of the TBI for delivery to control unit administrator if the eye movement data diverges from one or more of the baseline measurements by a threshold amount.

Embodiments represent acceleration along three orthogonal axes at two or more times as a three dimensional plot. Each point in the plot is positioned according to three coordinates, each of which is proportional to the amount of acceleration along one of the orthogonal axes at a moment in time. Some embodiments render the three dimensional plot as a three dimensional article of manufacture in which each point in the plot is represented by a volume of material. Some embodiments represent the three dimensional plot in two dimensions in a graphical interface. System embodiments may include an accelerometer, processor, output device, and a non-transitory computer readable medium storing instructions causing the processor to map points with coordinates proportional to acceleration along the respective axes to a virtual three-dimensional plot and then control the output device to render the plot in two or three dimensions.

A method of predicting a healthcare event includes: receiving via an input device, classifying personal information for each of a plurality of persons; collecting measurements of at least one health indicator during a predefined learning period; creating a personal physiological pattern profile, based on the collected data; associating each of the plurality of persons to a physiological cluster based on each person's personal physiological pattern profile and based on the classifying personal information of each of the plurality of persons; creating, for each physiological cluster, a health indicator deviation pattern for the healthcare event; continuously monitoring values of the health indicator of the person; and determining an occurrence probability of the healthcare event when the monitored indicators deviate from the personal physiological pattern profile. A system for predicting a healthcare event is also disclosed.

Disclosed is a portable device for collecting and processing continuous monitoring data. The device has a data interface configured to receive a stream of continuous monitoring data from a body-worn sensor, the continuous monitoring data being indicative of an analyte in a bodily fluid. A control is connectable to the data interface. The control controls a first mode of operation during which configuration parameters are established in response to receiving a start signal indicating a sensor session start of the body-worn sensor. The control also controls a second mode of operation during which the continuous monitoring data is collected and processed and also controls the switching from the first mode to the second mode. The control blocks further starting of the first mode for a remaining sensor session time after the switching to the second mode of operation. Also disclosed are a related medical system, method and computer program product.

The invention comprises a device and method to estimate the elasticity of soft elastic solids from surface wave measurements. The method is non-destructive, reliable and repeatable. The final device is low-cost and portable. It is based in audio-frequency shear wave propagation in elastic soft solids. Within this frequency range, shear wavelength is centimeter sized. Thus, the experimental data is usually collected in the near-field of the source. Therefore, an inversion algorithm taking into account near-field effects was developed for use with the device. Example applications are shown in beef samples, tissue mimicking materials and in vivo skeletal muscle of healthy volunteers.

A method comprising receiving an input indicating intake information associated with a patient. Based on the input, the method further includes determining an initial discharge date and receiving mobility information associated with the patient. Based in part on the mobility information, the method further includes determining an estimated discharge date and a confidence metric associated with the estimated discharge date, determining that the estimated discharge date is later than the initial discharge date by more than a threshold period of time, and determining that the confidence metric is greater than a threshold metric. Based in part on the estimated discharge date being later than the initial discharge date by more than the threshold period of time and the confidence metric being greater than the threshold metric, the method further includes generating an alert.