A system for noninvasive extraction, identification, and marking of the heart valve signals to evaluate and monitor elevated left ventricular end-diastolic pressure (LVEDP) or pulmonary capillary wedge pressure (PCWP) using at rest assessment of hemodynamic performance, based on quantitative measurements of heart and lung related parameters and cardiac events for diagnostic and therapeutic purposes includes one or more signals from one or more noninvasive sensors or transducers that measure one or more physiological effects that are correlated with cardiopulmonary functions, transmission of the data to a computing device and analysis software where a trained algorithm processes the data to determine the state or condition of elevated LVEDP or PCWP and provides an output indicative of the state or condition of the analysis. The described noninvasive cardiopulmonary health assessment and monitoring systems and methods can provide effective at-home self-assessment or an integrated telehealth remote patient monitoring (RPM) system.

A system for collecting data for assessment of cardiovascular function includes a plurality of monitoring devices coupled to different respective body parts. Each monitoring device is configured to measure a respective signal at the respective body part in response to cardiovascular activity. The respective signal includes a cardiovascular component attributable to the cardiovascular activity and an artifact component not attributable to the cardiovascular activity. When the monitoring devices measure the respective signals simultaneously over a same time period, the cardiovascular components are correlated, and the artifact components are not correlated. The system also includes a controller configured to: identify the cardiovascular components included in the signal measurements, according to the correlation of the cardiovascular components; reject the artifact components included in the signal measurements, according to the non-correlation of the artifact components; and determine cardiovascular information from the identified cardiovascular components for an assessment of cardiovascular function.

Imaging devices, systems, and methods are provided. Some embodiments of the present disclosure are particularly directed to imaging a region of interest in tissue with photoacoustic and ultrasound modalities. In some embodiments, a medical sensing system includes one or more external optical emitters and a measurement apparatus configured to be placed within a vascular pathway. The one or more optical emitters and the measurement apparatus may be moved together synchronously. The measurement apparatus may be configured to receive sound waves created by the interaction between emitted optical pulses and tissue, and transmit and receive ultrasound signals. The medical sensing system may also include a processing engine operable to produce images of the region of interest and a display configured to visually display the image of the region of interest.

The present disclosure relates to a tracking system for augmented reality in a clinical setting. Specifically, the present disclosure relates to an approach for combining hardware-based tracking and computer vision-based tracking in order to accurately overlay a projected image onto a video image.

A vehicle allocation service system includes an acquisition unit configured to acquire biological information and positional information of a user, a selection unit configured to select a moving object to be provided to the user based on the biological information, a decision unit configured to acquire priority added to a satisfied condition of the biological information of the user and decide an order of vehicle allocation for the selected moving object according to the priority, and an instruction unit configured to instruct the selected moving object to move according to the positional information.

A computerized information processing method for evaluating blood vessels is provided. The method includes acquiring a series of sequences of measurements, each at different time points in at least one cardiac cycle and at a different point along a blood vessel segment of a subject, generating corresponding profiles, calculating a transfer function for a subsegment between two selected points along a blood flow direction, and based thereon determining the physiological property of the subsegment. The measurements can contain information of blood velocity or blood pressure. A processing device and system implementing the information processing method are also provided. This approach can be used to evaluate arteries or veins and can be applied in screening, diagnosis, or prognosis of a variety of vascular diseases. For example, when combined with MRI scan, this approach can be used for non-invasively diagnosing pulmonary hypertension (PH) and chronic obstructive pulmonary disease (COPD), etc.

Systems and methods for aiding users in viewing, assessing and analyzing images, especially images of lumens and medical devices contained within the lumens. Systems and methods for interacting with images of lumens and medical devices, for example through a graphical user interface.

What is provided are methods of analyzing at least one image of the anterior segment of an eye and for selecting an intraocular lens (IOL). The methods may include detecting at least one image from an anterior segment of the eye; identifying a location of a reference structure on the eye using a plurality of points of a landmark on the anterior segment of the eye; and calculating at least one quantitative dimension of the anterior segment of the eye using the reference structure. The newly identified landmarks and quantifiable dimensions improve the characterization of the anterior segment in order to better predict the position and movement of the intraocular lens. The improved methods for analyzing the imaging of the anterior segment of the eye allows for improvements in the refractive outcomes of cataract surgery, glaucoma procedures, refractive outcomes, and other eye-related diseases.

A wearable ultrasound apparatus is disclosed for use in connection with various biomedical applications, including musculoskeletal (“MSK”) imaging and analysis, In at least one embodiment, the apparatus provides at least one of an ultrasound module configured for obtaining an at least one ultrasound image of a portion of a user’s body on which the at least one ultrasound module is positioned (hereinafter referred to as the “target site” for simplicity purposes), a electrophysiological (“EP”) module configured for detecting bioelectric signals of the target site, and a near-infrared spectroscopy (“NIRS”) module configured for monitoring oxygenation status and/or biochemical measurements of the target site.

A method of identifying a location of a region of interest within a breast utilizes compressed location coordinates for the region of interest recorded while the breast is under compression during an x-ray imaging procedure such as mammography or tomosynthesis. The compressed location coordinates are converted to uncompressed location coordinates using a mathematical tissue deformation model. The volume and density of the breast affects how the coordinates are translated for use with an ultrasound imaging system. A system including a computing system in communication with an ultrasound imaging system is utilized to perform the method. The resultant predicted location coordinates of the region of interest are used to guide a healthcare provider to potential lesions that are to be examined using ultrasound, where the potential lesions had been previously identified during a screening mammogram.