A method for monitoring a vehicle passenger involves determining a current vital parameter value of at least one vital parameter of the vehicle passenger and, if necessary, a current environmental parameter value of at least one environmental parameter of an outer environmental of the vehicle. Depending upon the determined values, assistance can be provided to the vehicle passenger.

A digestive profiling system comprises a breath analysis device comprising an inlet arranged to receive a breath sample from a user, a gas sensor arranged to generate a gas measurement of an amount of gas in the breath sample, and a first communication interface arranged to transmit a plurality of gas measurements generated by the gas sensor. The system further comprises a remote user interface device. The remote user interface device comprises a second communication interface arranged to receive the gas measurements generated by the gas sensor, a storage module arranged to store the received gas measurements, and a display arranged to display information to the user based on the stored gas measurements. The remote user interface device is remote from the breath analysis device.

One example discloses a device for electromagnetic structural characterization, including: a controller having an electromagnetic transmitter output and a communications interface; wherein the controller is configured to send a signal over the electromagnetic transmitter output that causes an electromagnetic transmitter to generate a first electrical field (E1) and a first magnetic field (H1); wherein the controller configured to receive over the communications interface a second electric field (E2) and a second magnetic field (H2) received by an electromagnetic receiver; wherein the first electrical field and the first magnetic field correspond to when the electromagnetic transmitter is at a first location proximate to a structure and the second electrical field and the second magnetic field correspond to when the electromagnetic receiver is at a second location proximate to the structure; and wherein the controller is configured to calculate an impedance based on the electric and magnetic fields interacting with the structure.

Described herein are systems and methods of generating a food compatibility datum. In some embodiments, a system may include a computing device configured to receive a plurality of physiological extractions of a subject, wherein the plurality of physiological extractions comprises at least an inflammation metric; receive a plurality of alimentary element consumption data wherein each alimentary element consumption datum of the plurality of plurality of alimentary element consumption data describes a consumption of the subject prior to a physiological extraction of the plurality of physiological extractions; generate a plurality of alimentary element compatibility data; identify an inflammatory alimentary element as a function of the plurality of alimentary element compatibility data; pair a medical professional with the subject as a function of the inflammatory alimentary element; and display the inflammatory alimentary element using a user interface at a display device.

A method and system for generating pulse oximetry predictive scores (POPS) for predicting adverse outcomes in preterm infants. The method comprising generating a POPS via a predictive algorithm which incorporates cross-correlation of heart rate and SpO2 calculated on archived pulse oximetry data of multiple preterm infants, and predicting a pathology of a preterm infant based on the generated POPS, wherein the pathology is intraventricular hemorrhage, late-onset sepsis, necrotizing enterocolitis, bronchopulmonary dysplasia, or retinopathy of prematurity, and informing a user of an opportunity to: identify the preterm infant as a highest risk infant and perform additional surveillance of or therapeutic intervention on the preterm infant, identify the preterm infant for participation in a clinical trial based on a risk profile associated with the POPS, and treat said preterm infant for the pathology.

Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.

Provided is a biological information processing method and a device, a recording medium and a program that are able to predict and control changes in the state of an organism. The expression level of molecules in an organism is measured over a specific time interval; the measured time-series data is divided into a periodic component, an environmental stimulus response component and a baseline component; constant regions of the time-series data are identified from variations in the baseline component or from the amplitude or periodic variations of the periodic component; and causal relation between the identified constant regions is identified. The relation between the external environment and variations in the internal environment is identified and from the identified causal relation between the constant regions, changes in the state of the organism are inferred.

An electronic device for providing health information or assistance includes an input configured to receive at least one type of signal selected from sound signals, verbal signals, non-verbal signals, and combinations thereof, a communication module configured to send information related to the at least one user and his/her environment to a remote device, including the sound signals, non-verbal signals, and verbal signals, the remote device being configured to analyze a condition of the at least one user and communicate condition signals to the electronic device, a processing module configured to receive the condition signals and to cause the electronic device to engage in a passive monitoring mode or an active engagement and monitoring mode, the active engagement and monitoring mode including, but not limited to, verbal communication with the at least one user, and an output configured to engage the at least one user in verbal communication.

The invention provides a method of analysing the consistency of stool, including the steps of: providing stool of an infant, capturing, with a portable device comprising a camera, an image of the stool, providing the captured image to an input layer of a pre-trained convolutional neural network, CNN, processing the captured image using the CNN to obtain, from a final layer of the CNN, a classification vector and to obtain information about a predicted score from the classification vector, wherein at least the final layer of the CNN has been customized so that each element of the classification vector corresponds to a score of a stool analysis scale, and storing information about the predicted store.

Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.