An intra-uterine monitoring system is described. The system comprises an implantable sensor device, shaped and dimensioned for implantation in a uterus for measuring conditions within the uterus to generate sensor data, and a wearable receiver device, for wirelessly receiving the sensor data generated by the implantable sensor device. In this way, real-time, in-vivo monitoring of the intra-uterine environment can be performed. The implantable sensor device can be kept small and simple, requiring only the mechanical and electronic structures necessary to take sensor measurements and transmit those to the receiver device. By making the receiver device wearable, it can be kept in relatively close proximity to the implantable sensor device on a long-term basis, making regular monitoring viable.

An injection sensing device (ISD) (e.g., wearable patch) is paired with an external device (e.g., a medication delivery pen and/or smart phone, iPad, computer) via wireless link or wireline connection. The ISD senses fluctuations in local skin temperature during an injection and provides to the external device captured data from the sensor relating to medicine delivery to a patient to ensure complete delivery and minimize MDD misuse or malfunction or inaccuracies in dosing. The ISD or external device can use captured data and corresponding time stamps to determine flow informatics such as flow rate, total dose delivered, and dose completion status. An LED on the ISD indicates delivery in progress and/or delivery completion.

Methods, systems, and method for predicting sensor measurement quality. In some implementations, the method comprises: measuring, using a wearable computing device that includes a processor and a sensor, information indicating motion of the wearable computing device during a current time period; identifying one or more parameters associated with a determination of a likelihood that one or more measurements from the sensor configured within the wearable computing device is of sufficient quality for calculating a physiological metric using the one or more measurements from the sensor, wherein the one or more parameters include contextual parameters associated with the wearable computing device; determining the likelihood that the measurement from the sensor associated with the user device is of sufficient quality at a second time period for calculating the physiological metric using the measurement from the sensor based on the identified one or more parameters and based on the information indicating the motion of the user device during the current time period; in response to determining that the likelihood exceeds a predetermined threshold, activating the processor and the sensor and collecting a measurement from the sensor at the second time period; and updating the identified one or more parameters based on the motion of the user device during the current time period and based on the measurement from the sensor at the second time period.

A flexible head probe and modular head probe system that includes an optical functional near-infrared spectroscopy (fNIRS) system and integrated position sensor. The head probe and modular head probe system determines physiological data based upon the optical information gathered by the fNIRS system and gathers motion and position data from the position sensor. The physiological data and motion and position data are combined to permit topographical and tomographic analyses of a user's brain tissue.

The following disclosure discusses systems and methods of detecting and analyzing cutaneous conditions. According to one embodiment, a 2D image of the cutaneous condition and a set of 3D point clouds associated with the 2D image are captured using an image capturing device. The 2D image and the set of 3D point clouds are sent to a computing device. The computing device generates a 3D surface according to the set of 3D point clouds. Subsequently, the computing device receives a depth map for the 2D image based upon the 3D surface from another computing device such that the depth map comprises depth data for each pixel of the 2D image. The cutaneous condition may then be measured and analyzed based upon the depth map using the computing device.

A system and a method of detecting a voiding event of a care-receiver uses a temperature sensor for measuring temperatures in real-time at a location adjacent a lower portion of the care-receiver's torso where the voiding event is to occur. The system and method then determines the voiding event based on the measured temperatures.

Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The equipment includes a patient support apparatus such as a patient bed, a nurse call computer, a physiological monitor, a patient lift, a locating computer of a locating system, and an incontinence detection pad. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

An analyte sensor system may include a first communication circuit configured to transmit a wireless signal in a first communication mode and a second communication mode, and a processor, wherein the processor determines whether a first condition is satisfied, the first condition relating to the sensor signal or to communication by the first communication circuit, and shifts the system to a second communication mode responsive to the first condition being satisfied.

A System for Measuring Body Kinetics includes a wearable device configured to be wrapped around a joint. A microprocessor is attached to the wearable device. One or more Inertial Measurement Units (IMUs) are connected to the microprocessor and arranged on the wearable device. The IMUs are arranged and configured to provide kinetic data concerning the joint to the microprocessor. A wireless transmission component is connected to the microprocessor. The microprocessor is configured to receive kinetic data from the IMUs, and to transmit the kinetic data by way of the wireless transmission component to a central processor or other device. An algorithm resides within the microprocessor or the central processor or other device, and is configured to determine the position of each IMU from the kinetic data. The wearable device may be constructed of fabric, strap, adhesive tape, or a combination thereof.

Disclosed embodiments include methods and systems including a receiver unit of a glucose monitoring system. The receiver is configured for communicating with a remote transmitter unit coupled with a glucose sensor. The glucose sensor generates data signals associated with a glucose level. The receiver unit includes a processor, a display, and a memory for storing instructions which, when executed by the processor: access a transmitter key associated with the remote transmitter unit; transmit a command to the remote transmitter unit after verifying the transmitter key; receive communication packets from the remote transmitter unit including a first data segment with data signals indicative of the glucose level and a second data segment with information corresponding to a remaining life of the remote transmitter unit; estimate a remaining life of the remote transmitter unit; process the data signals; and output the estimated remaining life and the processed data signals for display.