A system and method for monitoring the blood pressure of a patient that allows for a device sensor to be recalibrated according to atmospheric pressure without removing the device sensor from inside the patient. This permits quickly monitoring the blood pressure of a patient if a re-zero is needed. The invention has a blood pressure monitor (BPM) that obtains an atmospheric pressure observation. The atmospheric pressure observation is adjusted and stored to memory as a zero value. The zero value is retrieved to recalibrate the system and method if a device sensor has been disconnected from and reconnected to the same or a different BPM, the patient has been moved such that the surroundings have been altered to make it necessary to recalibrate according to atmospheric pressure, and/or the device sensor has been connected to a different patient care monitor.

Some embodiments are directed to a self-contained breathing mask for measuring and monitoring the breath of a human subject. The mask may be lightweight, self-contained, and physically untethered to any test or measurement equipment, providing the subject full mobility, and allowing him/her to perform almost any daily activity during use. The mask may include integrated sensors for measuring properties of the subject's breath, over any length of time, providing respiratory information like breath count, rate and volume, oxygen consumption, and carbon dioxide production, as well as various biometric information.

A method of estimating the probability of a seizure in a subject, the method comprising: receiving historical data associated with epileptic events experienced by the subject over a first time period, the historical data comprising physiological data associated with each epileptic event and a time at which each epileptic event occurred; generating a temporal probability model of future epileptic events based on the time of each of the epileptic events, the temporal probability model representing a probability of a future seizure occurrence in each of a plurality of time windows; generating a probabilistic model based on the physiological data associated with each epileptic event; weighting the probabilistic model based on the temporal probability model to generate a weighted probabilistic model of future seizure activity; and outputting an estimate of seizure probability in the subject using the weighted probabilistic model.

A measurement apparatus for measuring biological information when a test site is in contact with a contact unit includes a biological sensor for acquiring a biometric output from the test site, a controller for measuring the biological information based on the biometric output, an arithmetic logic unit for calculating information on measurement accuracy of the biological information, and an information output unit for outputting the biological information and the information on the measurement accuracy.

Among other things, we describe a system that includes a first medical device for treating a patient at an emergency care scene, the first medical device including a processor and a memory configured to detect a request for a connection between the first medical device and a second medical device for treating the patient at the emergency care scene, the request for connection including an identifier of the second medical device, responsive to receiving the request for connection, enabling a wireless communication channel to be established between the first medical device and the second medical device based on the identifier of the second medical device and an identifier of the first medical device; and enabling transmission and/or exchange of patient data between the first medical device and the second medical device via the wireless communication channel. Such communications with more than two devices may also be possible.

A spirometer that includes a sensor and a specifically designed flow chamber to create a pressure change and produce spirometry test results is disclosed. In one embodiment, the sensor comprises an absolute barometric pressure sensor. The spirometer of the present disclosure includes a single sensor positioned between the inlet of a flow chamber and a barrier to compute spirometry values with barometric pressure change. Pressure, humidity, and temperature are features that are built into the sensor. These sensor features and values assist in final computational spirometry test values as users complete test maneuvers.

A wearable electronic device, a system and methods of monitoring with a wearable electronic device. The device includes a hybrid wireless communication module with wireless communication sub-modules to selectively acquire location data from both indoor and outdoor sources, as well as a wireless communication sub-module to selectively transmit an LPWAN signal to provide location information based on the acquired data. The device may also include one or more sensors to collect one or more of environmental data, activity data and physiological data. The device may transmit some or all of its acquired data to a larger system, including a cloud-based server to, in addition to providing location-based data, be used as a part of a predictive health care protocol to correlate changes in acquired data to salient indicators of the health of a wearer of the device. In one form, the predictive health care protocol uses a machine learning model.

An environment control system that controls an environment of a subject is provided. The environment control system includes an actuator configured to control an environment of a subject, and a controller configured to control an operation of the actuator. The environment control system includes an inference unit that includes a first learned model and a second learned model. The first learned model has been trained by associating environmental information indicating an environment of a subject with data correlating with one of sleep, excretion, movement, skin, and stress conditions of the subject. The second learned model has been trained by associating the data correlating with one of the sleep, excretion, movement, skin, and stress conditions of the subject with data correlating with a magnitude of one or more risks that may occur with respect to the subject in a future period of time. The environment control system includes an operating condition determining unit configured to, in a case in which data correlating with the magnitude of the one or more risks that may occur with respect to a subject in a future period of time is inferred based on the first and second learned model, evaluate the inferred data to determine an operating condition of the actuator.

The invention relates to a device for analyzing a substance, comprising: —a measurement body (1, 1a), which has a measurement surface (2) and is to be brought at least in part into contact with the substance (3) in the region of the measurement surface for the purpose of measuring; a laser device (4), particularly having a quantum cascade laser (QCL), a tunable QCL and/or a laser array, preferably an array of QCLs, in order to generate one or more excitation beams (10) at different wavelengths, preferably in the infrared or medium infrared spectral range, which is directed to the substance (3); and a detection apparatus (5, 6, 7) which is integrated at least in part in the measurement body (1, 1a) or connected thereto and comprises the following: •a source (5) for coherent detection light (11) and •a first optical waveguide structure (6) which can be or is connected to the source for the detection light, which guides the detection light, and has a refractive index which is dependent at least in portions on the temperature and/or pressure, wherein the first optical waveguide structure has at least one portion (9) in which the light intensity depends on a phase shift of detection light in at least one part of the first optical waveguide structure (6) due to a change in temperature or pressure.

In an example method, a computing device obtains sensor data generated by one or more accelerometers and one or more gyroscopes over a time period, including an acceleration signal indicative of an acceleration measured by the one or more accelerometers over a time period, and an orientation signal indicative of an orientation measured by the one or more gyroscopes over the time period. The one or more accelerometers and the one or more gyroscopes are physically coupled to a user walking along a surface. The computing device identifies one or more portions of the sensor data based on one or more criteria, and determines characteristics regarding a gait of the user based on the one or more portions of the sensor data, including a walking speed of the user and an asymmetry of the gait of the user.