The present specification relates to Master-Slave (MS) interferometry for sensing the axial position of an object subject to optical coherence tomography (OCT) imaging, and to MS-OCT applied to curved and axially moving objects. The methods and apparatuses allow producing OCT signals from selected depths within the object irrespective of its axial position in respect to the imaging system. Images are obtained for curved objects that are flattened along a layer of interest in the object, images that are used to provide OCT angiography images less disturbed by axial movement or lateral scanning.

A device for measuring reflected ultrasound and optical signals may include: an optical source; an optical assembly comprising at least one lens, configured to focus reflected optical illumination from a target onto a detector; and an ultrasound transducer aligned to transmit and receive ultrasound radiation co-axially with the reflected optical illumination and wherein the ultrasound transducer at least partially obstructs a path of the reflected optical illumination. An obstruction may be distant from a focal spot of the optical assembly. The device for measuring reflected ultrasound and optical signals may be particularly useful for characterizing fluid behind an ear drum to diagnose otitis media.

Systems and methods are presented for monitoring brain pulsatility. A change in volume of the brain is estimated based at least in part on an output of a non-contact, surface measuring sensor (e.g., a distance sensor or a camera). A metric indicative of brain pulsatility is then calculated based at least in part on a ratio of the estimated change in volume of the brain relative to a change in arterial blood pressure.

A security portal has a body having sidewalls and a top, a floor, and an entrance passageway, a remotely operable entrance barrier at the entrance passageway, a remotely operable exit barrier at the exit passageway, input apparatus in the security portal, an optical temperature sensor positioned and remotely operable to sense the subject's skin temperature, and a computerized base station remote from the security portal. The operative opens the entrance barrier to admit the subject, uses the input apparatus to solicit information, performs an evaluation process involving identity and skin temperature, and, depending on result of the evaluation process, the operative opens the entrance barrier and asks the subject to leave through the entrance passageway, or opens the exit barrier and asks the subject to leave through the exit passageway into the secured area.

A monitoring system for monitoring milk flow during breast feeding or milk expression uses a flow sensor arrangement to monitor milk flow levels from different regions of the breast. A map of milk flow levels for different regions of the breast is then generated and displayed.

The present specification discloses a method capable of automatically recognizing an accurate wound boundary and a method of generating a 3D wound model based on the recognized wound boundary. The method of automatically recognizing a wound boundary according to the present specification is a method of automatically recognizing a wound boundary based on artificial intelligence, and may photograph several frames of the wound to be recognized with an RGB-D camera, separating measurement information in an image, amplifying image data for learning, and passing the amplified image data through an artificial neural network. The method may include generating a three-dimensional (3D) model by performing boundary recognition post-processing on the data passing through the artificial neural network to match a two-dimensional (2D) image with the 3D model.

Aspects relate to systems and methods for inspirate sensing to determine a probability of an emergent physiological state. An exemplary system an inhalation sensor module configured to sense and transmit a plurality of inhalation parameters as a function of at least an inspirate, an environmental sensor module configured to sense and transmit a plurality of environmental parameters as a function of an environment, and a processor configured to generate a probability of an emergent physiological state by: inputting at least an environmental parameter and at least an inhalation parameter to a probabilistic machine learning model and generating the probability of an emergent physiological state as a function of the machine learning model.

A laser based vascular illumination system utilizing a FPGA for detecting vascular positions, processing an image of such vasculature positions, and projecting the image thereof onto the body of a patient.

A system for monitoring fetal wellbeing over time during pregnancy includes a sensor coupled to a pregnant woman; a processor communicatively coupled to the sensor; and a computer-readable medium having non-transitory, processor-executable instructions stored thereon. Execution of the instructions causes the processor to perform a method including: acquiring a signal from a sensor; processing the signal to identify and extract a parameter of interest from the signal; and analyzing the parameter of interest to determine a degree of fetal wellbeing. The parameter of interest may include one or more of: an average fetal heart rate, an average fetal heart rate variability, a fetal kick or movement count, an average placental oxygenation level, an average placental temperature, an average placental pH, an average amount of amniotic fluid, a fetal heart rate profile, a fetal heart rate variability profile, and a fetal movement profile.

Disclosed herein are systems and methods for producing an illumination pattern in a gas tube of a facially-fitting device, which is used in conjunction with a capnograph. The illumination pattern is determined by at least one illumination parameter, derived at least from measured CO.sub.2 data, such that the illumination pattern is indicative of at least one breath-related/physiological parameter and/or one or more of the respiratory/physiological conditions determined/assessed based at least on the CO.sub.2 data.