Novel tools and techniques are provided for implementing intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem to placement procedures for cardiac implantable electronic device (“CIED”). In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in performing a CIED placement procedure in a heart of the patient, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the heart of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.

A method and a system of alerting and/or monitoring patient with sleep disorder includes: a detector for detecting a change in a first parameter, a storage device, a control unit for deciding if the change meets a set criteria, and if the change meets the set criteria, saving the first parameter and/or time in the storage device, a feedback unit for adjusting the set criteria according to sleep behavior of the patient, and an alarm device for sending an alarm, wherein the first parameter includes sound, motion, heart rate, blood pressure, breathing frequency, magnitude and/or frequency of movement, muscle activity, brain activity, eye movements, heart rhythm, heart rate variability, blood oxygen levels, breathing pattern, and/or body position.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

An imaging system is provided with: a first imaging apparatus (2) that captures an image of an imaging target (T, TP) that is located at a first point (P1); a second imaging apparatus (3) a focus position of which is set at a second point (P2) that is located at a forward side along a moving direction of the imaging target than the first point; and a control apparatus (6) that controls the second imaging apparatus to capture an image of the imaging target that is located at the second point on the basis of the image (200) captured by the first imaging apparatus.

A monitoring system includes a sensor data acquisition device configured to acquire information on an activity of a user; a data analyzer configured to analyze the acquired information on the activity of the user and detect occurrence of an abnormality in the activity of the user; an imaging controller configured to instruct an imaging terminal device that captures an image of the activity of the user to start capturing an image of the user and record imaging data in a case where the occurrence of the abnormality is detected by the data analyzer; an imaging data acquisition device configured to acquire the imaging data recorded by the imaging terminal device; a data storage device configured to store the imaging data acquired by the imaging data acquisition device; and an output device configured to output the imaging data.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

Systems and methods are provided for delivering images to a patient before and/or during a medical procedure in which a patient is translated on a table relative to a gantry. In various example embodiments, images are projected to the patient while preserving the projected field size during table motion, thereby potentially reducing patient anxiety by providing a more immersive patient viewing experience. In some example embodiments, the projected field size is maintained by a display system that is secured to the table such that both a projector and a projection screen are fixed relative to the table, and relative to the patient, during translation of the table. In some example embodiments, a reduction in patient anxiety may be achieved by projecting images as virtual images that are perceived by the patient as residing at a depth that lies beyond the confined spatial region in which the patient resides.

A device and a method for identifying a motion pattern of a person that allow suitable feedback about an identified motion pattern to be produced in real time, to address the disadvantage that there is no provision for direct feedback to the person in the event of abnormal behavior being detected. This is achieved by virtue of a device for identifying a motion pattern of a person having at least one sensor for capturing motion parameters and at least one evaluation unit, which is couplable to the at least one sensor, for evaluating the motion parameters and for producing a motion pattern.

A system and a method for predicting kinesthetic outcomes from observed position, posture, behavior or activity of an individual 1602, 1702. The system uses kinesthetic activity sensors 102, 104 each collecting one or more of audio, video, or physiological signals and capturing the activity of the individual or an ambient environment of the individual. These signals are delivered into a computer system 106 implementing a learning routine 108 which constructs one or more personalized kinetic state models 1510 of positional states for the individual and transitions between the positional states, and further develops one or more customized multi-dimensional prediction models 1500 for the individual and uses the multidimensional prediction models to predict behaviors, activities and/or positional changes likely to occur in the future, and provides notice of predicted unsafe or undesired outcomes.

A system for noninvasively monitoring physiological data of non-human animals, said system includes a sensor module having a transmit antenna, a receive antenna and a microprocessor. The transmit antenna being configured to wirelessly transmit electromagnetic waves to an area in the vicinity of an animal. The receive antenna being configured to receive modulated signals back from the animal that have been modulated as a function of physiological characteristics of animal. A hub having a processor and configured to receive signals from the sensor module. The processor in the hub being further configured to compare the signals from the sensor module with previously obtained data and generate an alert to a user if the comparison indicates an abnormal physiological characteristic of the animal.