A system and method for remotely monitoring an individual, in accordance with some embodiments of the invention. More particularly, one or more physiological functions and/or physical activities of the individual may be monitored. In order to monitor the individual, a range to, and/or a range rate (i.e., velocity) of, one or more points on one or more surfaces of the individual (e.g., skin, clothing, lips, etc.) may be determined over time. Based on the determinations of the range and/or range rate of the points on the surfaces of the individual, the one or more physiological functions and/or physical activities of the individual may be monitored. This may enable the physiological functions and/or physical activities to be monitored remotely from the individual without access or proximity to the individual.

A system and method for remotely monitoring an individual, in accordance with some embodiments of the invention. More particularly, one or more physiological functions and/or physical activities of the individual may be monitored. In order to monitor the individual, a range to, and/or a range rate (i.e., velocity) of, one or more points on one or more surfaces of the individual (e.g., skin, clothing, lips, etc.) may be determined over time. Based on the determinations of the range and/or range rate of the points on the surfaces of the individual, the one or more physiological functions and/or physical activities of the individual may be monitored. This may enable the physiological functions and/or physical activities to be monitored remotely from the individual without access or proximity to the individual.

A textile-based electrode system includes a first fabric layer having an inner and an outer surface. The inner surface includes a knitted electrode configured to be placed in contact with the skin of a user. A second fabric layer is disposed and configured to contact the outer surface of the first fabric layer. The second fabric layer includes a knitted conductive pathway configured to be electrically coupled to the knitted electrode. Furthermore, a third fabric layer is configured and disposed to contact the second fabric layer. A connector is disposed on the third fabric layer and is configured to be electrically coupled to the knitted conductive pathway. The second fabric layer can be folded about a first fold axis and the third fabric layer can be folded about a second fold axis to place the second fabric layer in contact with the first fabric layer and the third fabric layer.

An apparatus 100 for sensing a physiological parameter of a subject comprises a force sensor 102 configured to generate a first signal representing force displacement of an organ of the subject and a displacement sensor 104 associated with the force sensor 102. The displacement sensor 104 is configured to generate a second signal representing displacement velocity of the organ of the subject. A coupler 106 is arranged on one of the force sensor 102 and the displacement sensor 104, the coupler 106 being configured to mechanically couple the force sensor 102 and the displacement sensor 104 with the organ.

Methods and systems for pulmonary function testing of a subject are provided. Aspects of the present invention include methods and systems configured to generate flow volume curves and compute lung function parameters of a subject and determine potential clinical interpretations of pulmonary function. In addition, the present invention offers advantages including (i) measuring lung function without initial calibration of spirometer information, (ii) the ability to use spirometer information to develop a machine learning based algorithm which will eventually measure lung function without needing spirometer information at all, (iii) computing metrics such as chest and waist width and sitting height of subject.

The present invention relates to a device, system and method for improved non-invasive and objective detection of pulse of a subject. The device comprises an input unit (2a) configured to obtain a series of images of a skin region of the subject and a processing unit (2b) for processing said series of images by detecting pulse-related motion of the skin within the skin region from the series of images, generating a motion map of the skin region from the detected pulse-related motion, comparing the generated motion map with an expected motion map of the skin region, and determining the presence of pulse within the skin region based on the comparison.

An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.

An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.

A system for ultrasound interrogation of a lung including a memory, an electromagnetic (EM) board, an extended working channel (EWC), an EM sensor, a US transducer, and a processor. The memory stores a three dimensional (3D) model and pathway plan for navigating a luminal network. The EM board generates an EM field. The EWC is configured to navigate the luminal network toward a target following the pathway plan. The EM sensor extends distally from a distal end of the EWC and is configured to sense the EM field. The US transducer extends distally from a distal end of the EWC, generates US waves, and receives US waves reflected from the luminal network. The processor processes the sensed EM field to synchronize a location of the EM sensor in the 3D model, to process the reflected US waves to generate images, or to integrate the generated images with the 3D model.

A system for ultrasound interrogation of a lung including a memory, an electromagnetic (EM) board, an extended working channel (EWC), an EM sensor, a US transducer, and a processor. The memory stores a three dimensional (3D) model and pathway plan for navigating a luminal network. The EM board generates an EM field. The EWC is configured to navigate the luminal network toward a target following the pathway plan. The EM sensor extends distally from a distal end of the EWC and is configured to sense the EM field. The US transducer extends distally from a distal end of the EWC, generates US waves, and receives US waves reflected from the luminal network. The processor processes the sensed EM field to synchronize a location of the EM sensor in the 3D model, to process the reflected US waves to generate images, or to integrate the generated images with the 3D model.