A combined intraocular pressure (IOP) measuring and eye medication dispensing device may include a first micro-electro-mechanical-system (MEMS) sensor to generate IOP measurements of a living organism's eye; a medication dispensing device to dispense medication into the living organism's eye; a second MEMS micro-dispenser to interface with the medication dispensing device and to control the dispensing of the medication into the living organism's eye; and an analog-to-digital (A-to-D) converter to receive control signals. The A-to-D converter may communicate the control signals to the first MEMS sensor or the second MEMS micro-dispenser; receive the generated IOP measurements from the first MEMS sensor; receive medication dispensing parameters from the second MEMS micro-dispenser or medication dispensing device, and communicate the generated IOP measurements or the medication dispensing parameters. The device may also include a communications interface to receive the control signals from one or more processors in an external control module.

Disclosed are systems and methods for determining daytime alertness of users. A system can include at least one sensor for sensing physical phenomenon of a user and a computer system. The computer system can receive, from the sensor, sensor readings of the user during a sleep session, provide, as input, the sensor readings to a model that was trained to predict alertness levels of the user based on physical phenomenon of the user and/or historic data about the user and/or a population of users, receive, as output from the model, data indicating predicted alertness levels of the user for a period of time, determine behavior suggestions for the user based on the predicted alertness levels for the period of time, and generate output to be presented in a graphical user interface display to the user including at least one of (i) the predicted alertness levels and (ii) the behavior suggestions.

Devices and methods are described for urinary catheters and catheter valves. For example, this disclosure relates to urinary catheters having valves that facilitate testing of a user’s ability to urinate.

Medication management and reporting technology, in which output from at least one sensor configured to sense physical activity in a building in which medication of a patient is located is monitored and a determination is made to capture one or more images of the medication based on the monitoring. A camera is used to capture an image of the medication and the captured image is analyzed to detect a state of the medication. Information regarding a schedule by which the medication should be taken by the patient is accessed and an expected state of the medication is determined. The detected state is compared with the expected state and a determination is made that the patient has departed from the schedule based on the comparison revealing that the detected state does not match the expected state. A message indicating the departure from the schedule is sent based on the determination.

The objective of the present invention is to provide a hardness meter which estimates hardness in a stable manner regardless of a compression strength. A hardness meter includes: a movable portion which is continuously pressed against an object to be measured; a sensor which outputs an output signal reflecting a reaction force at a part of the object to be measured; a motive force mechanism that causes the movable portion to perform a piston motion; a hardness estimating portion which estimates the hardness of the object on the basis of an alternating current component of the output signal, generated by the piston motion; a position estimating portion which estimates a measurement position information by shooting with a camera; and a hardness map display portion which maps and displays the hardness on a schematic diagram of the surface of a living body based on the measurement position information.

This document describes techniques and apparatuses enabling determination of health state trends for a consistent patient situation. Various noninvasive health monitors can be used to sense a patient's situation and health states, including disease progression, at those states. These noninvasive health monitors may also act passively and in a patient's normal course of life, which enhances many patient's desire to submit to monitoring, as well as increase consistency of use, as in many cases the patient does little or nothing to cause his or her health monitoring and health-trend determination. With health states determined for a consistent patient situation, more accurate and more robust health trends can be determined.

Embodiments herein include systems and methods for detecting, predicting and/or assessing acute kidney injury. In an embodiment, a monitoring system to detect acute kidney injury is included. The monitoring system can include a sensor circuit configured to collect renal data including at least one of systemic renal data, direct renal data, urinary tract data, and renal-relevant extracorporeal data. The monitoring system can also include a memory circuit to store collected renal data, an evaluation circuit to assess renal status, and a telemetry circuit. The evaluation circuit can determine whether acute kidney injury has occurred or is likely to occur by comparing the renal data to at least one of threshold values, personal historical values, patient population values and patterns indicative of acute kidney injury. The evaluation circuit can initiate a warning notification if acute kidney injury has occurred or is likely to occur. Other embodiments are also included herein.

A portable biomedical device for detecting ischemic stroke in the brain. Its unique capability of enabling portability and compactness and being able to accommodate software that can resolve blood flow velocity measurements enable us to leverage multi-modality system benefits while using simple single modality instrumentation. This unique device provides an ideal diagnostic and predictive tool for ischemic attack such as TIA; not only at hospital bedside but also in a home environment.

Embodiments of the invention provide compositions useful in analyte sensors as well as methods for making and using such compositions and sensors. In typical embodiments of the invention, the sensor is a glucose sensor comprising an analyte modulating membrane formed from a polymer composition having carbonate and aromatic isocyanate chains, a composition observed to provide such membranes with improved material properties such as enhanced thermal and hydrolytic stability.

A method for generating, by an artificial intelligence engine, a treatment plan and a billing sequence associated with the treatment plan is disclosed. The method includes receiving information pertaining to a patient. The information includes a medical diagnosis code of the patient. The method includes generating, based on the information, the treatment plan for the patient. The treatment plan includes instructions for the patient to follow. The method includes receiving a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The method includes generating, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The method includes transmitting the treatment plan and the billing sequence to a computing device.