A dynamic analysis system includes an imaging device and an analysis device. The imaging device performs dynamic imaging by emitting radiation to a chest part of a human body, thereby obtaining a series of frame images showing a dynamic state of the chest part. The analysis device includes a controller. The controller (i) selects a first plurality of frame images to be analyzed from the series of frame images obtained by the imaging device, (ii) calculates, based on the first plurality of frame images, a ventilation amount index value that indicates an amount of ventilation of a lung field and a perfusion amount index value that indicates an amount of perfusion of the lung field, and (iii) calculates a ratio of the ventilation amount index value to the perfusion amount index value.

A dynamic analysis system includes an imaging device and an analysis device. The imaging device performs dynamic imaging by emitting radiation to a chest part of a human body, thereby obtaining a series of frame images showing a dynamic state of the chest part. The analysis device includes a controller. The controller (i) selects a first plurality of frame images to be analyzed from the series of frame images obtained by the imaging device, (ii) calculates, based on the first plurality of frame images, a ventilation amount index value that indicates an amount of ventilation of a lung field and a perfusion amount index value that indicates an amount of perfusion of the lung field, and (iii) calculates a ratio of the ventilation amount index value to the perfusion amount index value.

A user-wearable sensor device may be configured to be directly or indirectly secured to a user or to an article worn by the user. The user-wearable sensor device may include at least one sensor configured to collect sensor data associated with an orientation of the user, a display unit including at least one LED or other visual indicator, a battery configured to provide power to at least the display unit, and a control system. The control system may be configured to determine the orientation of the user based on sensor data collected by the at least one sensor, maintain the display unit in a deactivated state in the absence of a defined activation input, detect a defined activation input, activate the deactivated display unit in response to detecting the defined activation input, and control the activated display unit based on the determined orientation of the user.

Physiological information is extracted from detected electromagnetic radiation emitted or reflected by a subject (10). A data stream (30) derivable from the electromagnetic radiation is received. The data stream (30) includes a sequence (76; 152) of signal samples (78a, 78b, 78c; 154a, 154b, 154c) indicative of desired subject motion and of disturbing motion, the signal samples representing at least one region of interest (84; 164) and at least one non-indicative motion region (86; 166). The at least one defined region of interest (84; 164) exhibiting an at least partially periodic indicative motion pattern attributable to at least one physiological parameter (56), and a disturbing motion portion. A sequence (158) of motion compensated samples (80; 160a, 160b, 160c) at least partially compensated for undesired overall motion is derived. At least one characteristic signal (90; 112) at least partially indicative of the at least partially periodic indicative motion pattern is derived from the sequence (158) of derived motion compensated samples (80; 160a, 160b, 160c).

Physiological information is extracted from detected electromagnetic radiation emitted or reflected by a subject (10). A data stream (30) derivable from the electromagnetic radiation is received. The data stream (30) includes a sequence (76; 152) of signal samples (78a, 78b, 78c; 154a, 154b, 154c) indicative of desired subject motion and of disturbing motion, the signal samples representing at least one region of interest (84; 164) and at least one non-indicative motion region (86; 166). The at least one defined region of interest (84; 164) exhibiting an at least partially periodic indicative motion pattern attributable to at least one physiological parameter (56), and a disturbing motion portion. A sequence (158) of motion compensated samples (80; 160a, 160b, 160c) at least partially compensated for undesired overall motion is derived. At least one characteristic signal (90; 112) at least partially indicative of the at least partially periodic indicative motion pattern is derived from the sequence (158) of derived motion compensated samples (80; 160a, 160b, 160c).

Disordered breathing events may be classified as central, obstructive or a combination of central an obstructive in origin based on patient motion associated with respiratory effort. Central disordered breathing is associated with disrupted respiration with reduced respiratory effort. Obstructive disordered breathing is associated with disrupted respiration accompanied by respiratory effort. A disordered breathing classification system includes a disordered breathing detector and a respiratory effort motion sensor. Components of the disordered breathing classification system may be fully or partially implantable.

Provided is a sleep guidance device that serves to control a stimulus imparter for imparting stimuli to a human subject. The sleep guidance device acquires a biorhythm of the human subject; estimates sleep depths of the human subject from the acquired biorhythm of the human subject; and controls the stimulus imparter to impart a stimulus to the human subject in accordance with the acquired biorhythm of the human subject, and from among the sleep depths, a current sleep depth estimated for the human subject.

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.

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.

A motion compensation system for tracking and compensating for patient motion during a medical imaging scan comprises an optical marker comprising an optically visible pattern and a mounting portion; a first optical detector positioned to digitally image the optically visible pattern along a first line of sight; a second optical detector positioned to digitally image the optically visible pattern along a second line of sight; a tracking engine configured to determine a pose of the object in six degrees of freedom by analyzing images from the first and second optical detectors; and a controller interface configured to generate tracking information based on the pose and to electronically transmit the tracking information to a scanner controller to enable compensation within a medical imaging scanner for object motion.