An interactive exercise system includes an exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. The system also includes a communication module for connection to a cloud processing system, with the cloud processing system supporting exercise related analytics including those based on pose estimation provided by the local processing system.

A social engagement system includes a first exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. The system also includes a communication module for connection to a cloud processing system, with the cloud processing system supporting connection to a second exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. Additionally, the connection allows transfer of data useful for social engagement.

Methods and implantable medical devices (IMDs) are provided for monitoring a cardiac function of a heart. A heart sound sensor is configured to sense heart sound signals of the subject. The IMD includes a memory to store program instructions. The IMD includes a processor that, when executing the program instructions, is configured to identify S2 signal segment from the heart sound signals, analyze the S2 signal segment to identify a pulmonary valve signal (P2 signal) and an aortic valve signal (A2 signal) within an S2 signal segment of the heart sound signals. The processor is configured to determine a time interval between the A2 and P2 signals, characterize the S2 signal segment to exhibit a first type of S2 split based on the time interval, and identify a cardiac condition based on a comparison of the first type of S2 split and a cardiac condition matrix.

A vital signs detecting device and a method for detecting vital signs are provided. The vital signs detecting device comprises a detection unit; a multimode optical fiber configured to be connected to a light source and to the detection unit; a mechanical structure configured for receiving a pressure exerted by a person's body as a result of one or more of a group consisting of a movement of the person's body, a respiratory action of the person's body and a heart beat action of the person's body and to cause microbending of the multimode optical fiber under the exerted pressure and; wherein the multimode optical fiber is disposed between first and second sets of microbending elements of the mechanical structure substantially in a direction of the exerted pressure.

A vital signs detecting device and a method for detecting vital signs are provided. The vital signs detecting device comprises a detection unit; a multimode optical fiber configured to be connected to a light source and to the detection unit; a mechanical structure configured for receiving a pressure exerted by a person's body as a result of one or more of a group consisting of a movement of the person's body, a respiratory action of the person's body and a heart beat action of the person's body and to cause microbending of the multimode optical fiber under the exerted pressure and; wherein the multimode optical fiber is disposed between first and second sets of microbending elements of the mechanical structure substantially in a direction of the exerted pressure.

A method includes: receiving, by a terminal device, position information of the terminal device via a wireless signal, and time information; obtaining solar radiation amount information corresponding to the position information of the terminal device and the time information; obtaining a corrected received-light amount by correcting the amount of light received by the terminal device, based on a radio field reception intensity of the wireless signal that includes the position information, the amount of light received being indicated in the solar radiation amount information; and obtaining, by the terminal device, a cumulative value of amounts of light which the user of the terminal device has been exposed to, using the corrected received-light amount.

A system for light based interrogation of a lung includes a memory, an electromagnetic (EM) board, an extended working channel (EWC), an EM sensor, a light source, a light receptor and a processor. The memory stores a 3D model and a pathway plan of a luminal network and the EM board generates an EM field. The EWC navigates a luminal network of a patient toward a target in accordance with the pathway plan and the EM sensor extends distally from a distal end of the EWC and is configured to sense the EM field. The light source is located at or around the EWC and emits light, and the light receptor is located at or around the EWC and is configured to sense reflected light from airway of the luminal network. The processor converts the reflected light into light based data and identifies a type or density of tissue.

A system for light based interrogation of a lung includes a memory, an electromagnetic (EM) board, an extended working channel (EWC), an EM sensor, a light source, a light receptor and a processor. The memory stores a 3D model and a pathway plan of a luminal network and the EM board generates an EM field. The EWC navigates a luminal network of a patient toward a target in accordance with the pathway plan and the EM sensor extends distally from a distal end of the EWC and is configured to sense the EM field. The light source is located at or around the EWC and emits light, and the light receptor is located at or around the EWC and is configured to sense reflected light from airway of the luminal network. The processor converts the reflected light into light based data and identifies a type or density of tissue.

The present disclosure provides a method of DDCE-MRF. The method can include: a) introducing two or more contrast agents to a region of interest (ROI) of a subject, the two or more contrast agents having different relaxivities; b) measuring a T1 relaxation time and a T2 relaxation time for locations within the ROI using magnetic resonance fingerprinting (MRF); c) determining, using equations that relate the different relaxivities, the T1 relaxation time, the T2 relaxation time, and concentrations of the two or more contrast agents, the concentrations of the two or more contrast agents for each of the locations within the ROI; and d) producing an image depicting the ROI based, at least in part, on the concentrations of the two or more contrast agents.

Systems and methods for monitoring patient vasoactivity are discussed. An exemplary patient monitor system includes a sensor circuit configured to generate a heart sound (HS) metric using a HS signal sensed from a patient, and a vasoactivity monitor configured to monitor vasoactivity, such as degree of vasoconstriction or vasodilation, using the HS metric. The system can provide the monitored vasoactivity to a user to alert patient hemodynamic responses to vasoactive drugs, or initiate or adjust a vasoactive therapy according to the vasoactivity. The system may use the monitored vasoactivity to detect a medical condition such as worsening heart failure, pulmonary edema, or syncope.