A method for medical detection implemented in a medical detection device, includes a detection instruction being received by the device, the device detecting a temperature of a test strip and determining a measurement error rate corresponding to the actual temperature of the test strip, a relationship having been established between temperatures and measurement error rates for test strip temperatures. When the medical detection device receives the test strip that carries blood of a user, at least one physiological parameter based on the blood on the test strip is measured, and a measurement value of the at least one physiological parameter is obtained. And the measurement value is compensated according to the measurement error rate, and a correction value of the physiological parameter is thus obtained.

A breast milk flow monitoring system in the form of a milk flow monitoring sensor is described and includes an array of electrodes and a controller. The electrodes include electrically conductive surfaces that are arranged to contact a skin surface of a breast. The controller generates a first excitation signal that is communicated via the first electrode to a first location on the breast, and generates a second excitation signal that is communicated via the first electrode to the first location on the breast. The controller receives a first current response signal and a second current response signal. A bio-impedance spectroscopic analysis of the first current response signal and the second current response signal is executed, wherein the bio-impedance spectroscopic analysis is calibrated for breast milk flow. A breast milk flow parameter is determined based upon the bio-impedance spectroscopic analysis.

Embodiments herein relate to devices and methods for assessing deep tissue temperature using optical sensing. In an embodiment an optical temperature monitoring device is included having an optical emitter, wherein the optical emitter is configured to emit light at a first wavelength from 100 nm to 2000 nm. The optical temperature monitoring device also includes an optical detector configured to detect incident light. The optical temperature monitoring device can be configured so that the light from the optical emitter propagates at a depth of at least 1 cm through tissue as measured from a surface of the optical temperature monitoring device and back to the optical detector and the incident light detected by the optical detector is used to determine a temperature of the tissue at depths of at least 1 cm as measured from a surface of the optical temperature monitoring device. Other embodiments are also included herein.

In part, the disclosure relates to computer-based methods, devices, and systems suitable for performing intravascular data analysis and measurement of various types of data such as pressure and flow data. The disclosure relates to probes and methods suitable for determining an event in a cardiac cycle such as flow threshold such as a peak flow, a fraction thereof, other intravascular parameters or a point in time during which peak flow or a change in one of the parameters occurs. An exemplary probe includes one or more of a pressure sensor, a resistor, a flow sensor and can be used to generate diagnostic data based upon measured intravascular and other parameters. In part, the disclosure relates to methods and systems suitable for determining a coronary flow reserve value in response to one or more of intravascular pressure and flow data or data otherwise correlated therewith.

A method for detecting a wearable device's contact with a living body may be provided, including obtaining a decreasing rate of body temperature and a decreasing a rate of environmental temperature measured by a wearable device worn on a living body; and determining the wearable device's contact with the living body based on a comparison of the decreasing rate of body temperature and the decreasing rate of environmental temperature. A corresponding apparatus and computer program product for detecting a wearable device's contact with a living body may also be provided.

An electronic device includes a housing sidewall defining an opening and a display component, such as a display cover, disposed in the opening to form a gap between the housing sidewall and the display component. In at least one example, the cavity is defined by the sidewall and the display cover with the cavity in fluid communication with an external environment through the gap. In at least one example, an epoxy component at least partially defines the cavity and can be in direct contact with the housing sidewall.

Methods, systems, and coaptation measurement devices as described herein include an elongate sensor body at the end of a proximal connecting member, and a plurality of sensors in an array across a face of the sensor body, wherein each sensor of the plurality of sensors is configured to detect if a portion of a heart valve is in contact with the sensor.

A medical device includes a hybrid circuitry assembly and a core circuitry support structure. The core circuitry support structure includes a frame defining a cavity configured to receive at least a portion of the hybrid circuitry assembly. An outer surface of the frame is shaped to correspond to an inside surface of a core assembly housing configured to enclose the hybrid circuitry assembly and the core circuitry support structure.

A wearable biofluid volume and composition system includes a microfluidic flexible fluid capture substrate having a microfluidic channel configured as a sweat collection channel and is configured to be worn on a human body and to collect and analyze biofluid. The microfluidic flexible fluid capture substrate further has a plurality of conductive traces and electrodes. An electronic module is attached to the microfluidic flexible fluid capture substrate and is configured to measure and analyze data from the biofluid collected by the microfluidic flexible fluid capture substrate and to transmit the analyzed data to a smart device.

Described herein are assistant robots that anticipate needs of one or more people (or animals). The assistant robots may recognize a current activity, knowledge of the person's routines, and contextual information. As such, the assistant robots can provide or offer to provide appropriate robotic assistance. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.