An information processing apparatus acquires projection data obtained by dividing a subject into first and second divided areas and capturing the first and second divided areas, the projection data including first projection data obtained by capturing a dynamic state of the subject in a first capturing range including the first divided area and second projection data obtained by capturing the dynamic state of the subject in a second capturing range including the second divided area. The apparatus acquires similarity relating to the dynamic state of the subject on a basis of projection data of a first partial area and projection data of a second partial area, and acquires a first timing for reconstructing an image of the first divided area and a second timing for reconstructing an image of the second divided area, on a basis of the similarity.

An information processing apparatus acquires projection data obtained by dividing a subject into first and second divided areas and capturing the first and second divided areas, the projection data including first projection data obtained by capturing a dynamic state of the subject in a first capturing range including the first divided area and second projection data obtained by capturing the dynamic state of the subject in a second capturing range including the second divided area. The apparatus acquires similarity relating to the dynamic state of the subject on a basis of projection data of a first partial area and projection data of a second partial area, and acquires a first timing for reconstructing an image of the first divided area and a second timing for reconstructing an image of the second divided area, on a basis of the similarity.

A non-invasive method and system is provided for determining an internal component of respiratory effort of a subject in a respiratory study. Both a thoracic signal (T) and an abdomen signal (A) are obtained, which are indicators of a thoracic component and an abdominal component of the respiratory effort, respectively. A first parameter of a respiratory model is determined from the obtained thoracic signal (T) and the abdomen signal (A). The first parameter is an estimated parameter of the respiratory model that is not directly measured during the study. The internal component of the respiratory effort is determined based at least on the determined first parameter of the respiratory model. The first model parameter is determined based on the thorax signal (T) and the obtained abdomen signal (A) without an invasive measurement.

Systems and methods for assessing a cardiac arrhythmia risk of a patient, such as a risk for developing atrial fibrillation, are disclosed. An exemplary medical-device system includes an arrhythmia predictor circuit configured to receive physiologic information of a patient, and in an absence of atrial tachyarrhythmia in the patient, determine a risk of the patient developing future atrial tachyarrhythmia using the physiologic information. In accordance with the arrhythmia risk indication, the system can generate an alert, or initiate more aggressive monitoring of a patient identified as having a high atrial tachyarrhythmia risk.

An implant unit configured for implantation into a body of a subject is provided. The implant unit may include a flexible carrier unit including a central portion and two elongated arms extending from the central portion, an antenna, located on the central portion, configured to receive a signal, at least one pair of electrodes arranged on a first elongated arm of the two elongated arms. The at least one pair of electrodes may be adapted to modulate a first nerve. The elongated arms of the flexible carrier may be configured to form an open ended curvature around a muscle with the nerve to be stimulated within an arc of the curvature.

An implant unit configured for implantation into a body of a subject is provided. The implant unit may include a flexible carrier unit including a central portion and two elongated arms extending from the central portion, an antenna, located on the central portion, configured to receive a signal, at least one pair of electrodes arranged on a first elongated arm of the two elongated arms. The at least one pair of electrodes may be adapted to modulate a first nerve. The elongated arms of the flexible carrier may be configured to form an open ended curvature around a muscle with the nerve to be stimulated within an arc of the curvature.

A hybrid vision device is provided. The hybrid vision device comprises: an articulating elongate member comprising a proximal end and a distal end, and a positional sensor is located at the distal end of the articulating elongate member; and a multimodal sensing probe removably coupled to the articulating elongate member, and the multimodal sensing probe comprises an ultrasound transducer and a camera located at a distal portion of the multimodal sensing probe.

The invention relates to a respiratory motion detection apparatus (1) for detecting respiratory motion of a person. An illuminator (3) illuminates the person (2) with an illumination pattern (11), and a detector (4) detects the illumination pattern (11) on the person (2) over time. A temporal respiratory motion signal being indicative of the respiratory motion of the person (2) is determined from the detected illumination pattern by a respiratory motion signal determination unit (5). The illumination pattern deforms significantly with slight movements of the person. Thus, since the respiratory motion signal determination unit (5) is adapted to determine the temporal respiratory motion signal from the detected illumination pattern, even slight respiratory movements of the person can be determined. The sensitivity of detecting respiratory movements of a person can therefore be improved.

A device for analyzing sleep breathing using a radar includes a transceiver configured to transmit a radar signal toward a subject and receive the radar signal reflected from the subject; an average breathing signal calculation unit configured to calculate an average breathing signal of the subject based on the radar signal; a sleep breathing pattern information generation unit configured to generate sleep breathing pattern information of the subject by comparing the radar signal with the average breathing signal; and a sleep breathing event detection unit configured to detect a sleep breathing event based on the sleep breathing pattern information.

A device for analyzing sleep breathing using a radar includes a transceiver configured to transmit a radar signal toward a subject and receive the radar signal reflected from the subject; an average breathing signal calculation unit configured to calculate an average breathing signal of the subject based on the radar signal; a sleep breathing pattern information generation unit configured to generate sleep breathing pattern information of the subject by comparing the radar signal with the average breathing signal; and a sleep breathing event detection unit configured to detect a sleep breathing event based on the sleep breathing pattern information.