Abstract: What is disclosed is a system and method for identifying a patient's breathing pattern for respiratory function assessment without contact and with a depth-capable imaging system. In one embodiment, a time-varying sequence of depth maps are received of a target region of a subject of interest over a period of inspiration and expiration. Once received, the depth maps are processed to obtain a breathing signal for the subject. The subject's breathing signal comprises a temporal sequence of instantaneous volumes. One or more segments of the subject's breathing signal are then compared against one or more reference breathing signals each associated with a known pattern of breathing. As a result of the comparison, a breathing pattern for the subject is identified. The identified breathing pattern is then used to assess the subject's respiratory function. The teachings hereof find their uses in an array of diverse medical applications. Various embodiments are disclosed.

Abstract: Systems and methods are proposed for non-contact monitoring of spatio-temporal mechanics comprising motion patterns of respiratory muscles, lungs and diaphragm. The depth capable sensors system is comprised of modules, including a depth estimation module, a reference shape generation module, a region of interest shape estimation module, and a shape comparison module. A recommender module is optionally included. The acquisition of spatio-temporal respiratory mechanic data comprising a time varying sequence of spatially dependent representations of the respiratory mechanics of the subject are processed for identifying differences between the subject's actual respiratory mechanics and desired mechanics that can improve the health of the subject, or identify particular maladies.

Abstract: Systems and methods are proposed for non-contact monitoring of spatio-temporal mechanics comprising motion patterns of respiratory muscles, lungs and diaphragm. The depth capable sensors system is comprised of modules, including a depth estimation module, a reference shape generation module, a region of interest shape estimation module, and a shape comparison module. A recommender module is optionally included. The acquisition of spatio-temporal respiratory mechanic data comprising a time varying sequence of spatially dependent representations of the respiratory mechanics of the subject are processed for identifying differences between the subject's actual respiratory mechanics and desired mechanics that can improve the health of the subject, or identify particular maladies.

Abstract: What is disclosed is a system and method for identifying a patient's breathing pattern for respiratory function assessment without contact and with a depth-capable imaging system. In one embodiment, a time-varying sequence of depth maps are received of a target region of a subject of interest over a period of inspiration and expiration. Once received, the depth maps are processed to obtain a breathing signal for the subject. The subject's breathing signal comprises a temporal sequence of instantaneous volumes. One or more segments of the subject's breathing signal are then compared against one or more reference breathing signals each associated with a known pattern of breathing. As a result of the comparison, a breathing pattern for the subject is identified. The identified breathing pattern is then used to assess the subject's respiratory function. The teachings hereof find their uses in an array of diverse medical applications. Various embodiments are disclosed.

Abstract: What is disclosed is a system and method for identifying a patient's breathing pattern for respiratory function assessment without contact and with a depth-capable imaging system. In one embodiment, a time-varying sequence of depth maps are received of a target region of a subject of interest over a period of inspiration and expiration. Once received, the depth maps are processed to obtain a breathing signal for the subject. The subject's breathing signal comprises a temporal sequence of instantaneous volumes. One or more segments of the subject's breathing signal are then compared against one or more reference breathing signals each associated with a known pattern of breathing. As a result of the comparison, a breathing pattern for the subject is identified. The identified breathing pattern is then used to assess the subject's respiratory function. The teachings hereof find their uses in an array of diverse medical applications. Various embodiments are disclosed.

Abstract: What is disclosed is a system and method for generating a flow-volume loop for respiratory function assessment of a subject of interest in a non-contact, remote sensing environment. In one embodiment, a time-varying sequence of depth maps of a target region of a subject of interest being monitored for respiratory function is received. The depth maps are of that target region over a period of inspiration and expiration. The depth maps are processed to obtain a volume signal comprising a temporal sequence of instantaneous volumes. The time-varying volume signal is processed to obtain a flow-volume loop. Changes in a contour of the flow-volume loop are used to assess the subject's respiratory function. The teachings hereof find their uses in a wide array of medical applications where it is desired to monitor respiratory function of patients such as elderly patients, chronically ill patients with respiratory diseases and premature babies.