A multimodal, contactless vital sign monitoring system is configured to perform the following operations. Images are received from a video capture device. An image of a subject is identified within the images. The image of the subject is segmented into a plurality of segments. A first analysis is performed on the plurality of segments to identify a color feature. A second analysis is performed of the plurality of segments to identify a motion feature. Using a combination of the color feature and the motion feature a plurality of vital signs for the subject are determined. The first analyzing and the second analyzing are performed in parallel. The plurality of vital signs include one or more of heart rate, respiration rate, oxygen saturation, heart rate variability, and atrial fibrillation.

A single-impulse panoramic photoacoustic computed tomography (SIP-PACT) system for small-animal whole-body imaging is disclosed. In addition, a dual-speed of sound image universal back-projection reconstruction method is disclosed. Further, a PACT system for imaging a breast of a subject is disclosed.

A single-impulse panoramic photoacoustic computed tomography (SIP-PACT) system for small-animal whole-body imaging is disclosed. In addition, a dual-speed of sound image universal back-projection reconstruction method is disclosed. Further, a PACT system for imaging a breast of a subject is disclosed.

A system and method for monitoring and auditing the patient's health care compliances in order to detect bedside patient's information such as bed sores, oral health care, insertion of invasive devices, patient positions etc. The system employs visual sensors such as lidars, IR cameras etc. for observing the patients. The system also uses machine learning algorithms that use the bedside patient information into pre-trained models so as to monitor, trace and diagnose patient histories by the caretakers.

An apparatus for monitoring a sleep parameter of a user includes an adhesive pad configured to conform to a surface of the user and a flexible element coupled to the adhesive pad. The flexible element includes a conductive fabric, and exhibits a modified electrical property in response to an applied force. The apparatus also includes a power source electrically coupled to the flexible element, and an electrical circuit electrically coupled to the power source and the flexible conductive element. The electrical circuit is configured to detect, during use, a change in an electrical property of the flexible element.

An apparatus for monitoring a sleep parameter of a user includes an adhesive pad configured to conform to a surface of the user and a flexible element coupled to the adhesive pad. The flexible element includes a conductive fabric, and exhibits a modified electrical property in response to an applied force. The apparatus also includes a power source electrically coupled to the flexible element, and an electrical circuit electrically coupled to the power source and the flexible conductive element. The electrical circuit is configured to detect, during use, a change in an electrical property of the flexible element.

Disclosed are systems, methods, and computer-readable media for navigating to and interacting with a region of interest during a respiratory cycle of a patient. An exemplary system includes a percutaneous tool, a plurality of patient sensors disposed on the patient, a tracking module configured to determine location and motion data of the plurality of patient sensors and a tool coupled to the percutaneous tool, a display device, and a computing device configured to receive a plurality of images of the patient's body, receive the location and motion data determined by the tracking module, generate a model of the interior of the patient, determine likely movement of the interior of the patient, the percutaneous tool, and the region of interest throughout the respiratory cycle, and cause the display device to display a graphical user interface including a window for depicting movement throughout the respiratory cycle.

Disclosed are systems, methods, and computer-readable media for navigating to and interacting with a region of interest during a respiratory cycle of a patient. An exemplary system includes a percutaneous tool, a plurality of patient sensors disposed on the patient, a tracking module configured to determine location and motion data of the plurality of patient sensors and a tool coupled to the percutaneous tool, a display device, and a computing device configured to receive a plurality of images of the patient's body, receive the location and motion data determined by the tracking module, generate a model of the interior of the patient, determine likely movement of the interior of the patient, the percutaneous tool, and the region of interest throughout the respiratory cycle, and cause the display device to display a graphical user interface including a window for depicting movement throughout the respiratory cycle.

This disclosure relates generally to systems and methods for characterizing a behavior of an anatomical structure. Tracking data can be generated by a tracking system to represent at least a location of at least one sensor in a three-dimensional tracking coordinate system over time. A motion model is generated to characterize the behavior of the anatomical structure over a plurality of time instances. For instance, the motion model includes at least one free parameter and a temporal parameter. Each free parameter estimating geometry of the anatomical structure derived from the tracking data, and the temporal parameter indexes the free parameter over the plurality of time instances. A visualization is generated to provide a sequence of graphical images based on the motion model to characterize behavior of the anatomical structure over time.

Methods and systems are provided for obtaining cleaned sequences showing trajectories of movement of a center of gravity and for estimating a biometric information pattern or value of a target. One of the methods includes removing noises from initial sequences showing trajectories of movement of a center of gravity to obtain the cleaned sequences. Another one of the methods includes reading cleaned sequences of the target into a memory, extracting features from the cleaned sequences, and estimating a biometric information pattern or value of the target from the extracted features, using a classification or regression model of biometric information patterns or values. The biometric information pattern may be a pattern derived from respiratory or circulatory organs of a target.