A method for computing lung compliance imaging, the method comprising obtaining one or more images of lungs, determining a spatial transformation of each voxel within the lungs between the lungs at an inhale position and the lungs at an exhale position to provide displacement vector estimates for each voxel within the lungs, performing volume change inference operations to determine a volume change between the lungs at the inhale position and the lungs at the exhale position based on an inhale region of interest, an exhale region of interest, and the displacement vector estimates for each voxel within the lungs, computing a lung compliance based on the volume change inference operations.

The disclosure provides systems and methods for treating obstructive sleep apnea using an acoustic sensor configured to detect acoustic sounds generated by the heart and lungs. Sensory data from the acoustic sensor is used by an implanted stimulation system to determine when to deliver electrical stimulation to a nerve which innervates an upper airway muscle, such as the hypoglossal nerve, to treat sleep apnea.

Systems and methods of identifying medical disorders in one or more subjects are disclosed herein. In one embodiment, sound is transmitted toward a subject and at least a portion of the sound reflected by the subject and is acquired as echo data. The acquired echo data is used to generate a motion waveform having a plurality of peaks detected therein. At least a portion of the plurality of peaks may be indicative of movement of the subject. One or more medical disorders in the subject can be identified based on, for example, time durations and/or amplitude changes between peaks detected in the motion waveform.

Systems and methods for detecting and monitoring human breathing, respiration, and heart rate using statistics about the wireless channel between two or more connected devices. A user is monitored for identifying patterns in the uses behavior that may allow the system to alert a caregiver to deviations in the user behavior that may be indicative of a potential issue, such as depression. A presence may be further detected in a sensing area through the detection of spectral components in the breathing frequency range of comprises user includes transforming phase difference between spatial streams and amplitude of the samples representing frequency response of the channel for any frequency value into frequency domain to perform frequency analysis. Statistical analysis may be performed on the frequency space provided by the transformation. Micro motions may also be detected by detecting presence in a sensing area through the detection of spectral components in the micro motion frequency range.

Embodiments described herein relate to systems and methods for controlling sensors, receiving sensor data, and evaluating the interrelationship between breath and movement and providing analysis and feedback to the user through a device. The system generates digital instructions and output for an online web application, device hosted application, smart device, or similar system.

Embodiments described herein relate to systems and methods for controlling sensors, receiving sensor data, and evaluating the interrelationship between breath and movement and providing analysis and feedback to the user through a device. The system generates digital instructions and output for an online web application, device hosted application, smart device, or similar system.

Systems and methods for adapting physical activities and exercises based on facial analysis by image processing are disclosed. A method includes: identifying, by a computer device, a user; receiving, by the computer device, video data of a face region of the user while the user is engaged in exercise or physical activity; analyzing, by the computer device, the video data to determine a detected state of the user, wherein the analyzing the video data includes performing facial analysis using the video data; and providing, by the computer device, feedback to the user based on the analyzing the video data.

Systems and methods for adapting physical activities and exercises based on facial analysis by image processing are disclosed. A method includes: identifying, by a computer device, a user; receiving, by the computer device, video data of a face region of the user while the user is engaged in exercise or physical activity; analyzing, by the computer device, the video data to determine a detected state of the user, wherein the analyzing the video data includes performing facial analysis using the video data; and providing, by the computer device, feedback to the user based on the analyzing the video data.

A system for ultrasound interrogation of a lung includes 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, a pathway plan for navigating a luminal network. An EM board generates an EM field. The EWC is configured to navigate the luminal network of a patient toward a target following the pathway plan and the EM sensor extends distally from the EWC and senses the EM field. The US transducer extends distally from a distal end of the EWC and generates US waves and receives US waves reflected from the luminal network and 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 includes 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, a pathway plan for navigating a luminal network. An EM board generates an EM field. The EWC is configured to navigate the luminal network of a patient toward a target following the pathway plan and the EM sensor extends distally from the EWC and senses the EM field. The US transducer extends distally from a distal end of the EWC and generates US waves and receives US waves reflected from the luminal network and 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.