An ultrasonic communication system and method provide a networking framework for wearable devices based on ultrasonic communications. The ultrasonic communication system and method incorporate a set of physical, data link, network and application layer functionalities that can flexibly adapt to application and system requirements to efficiently distribute information between ultrasonic wearable devices.

The present technology relates to interatrial shunting systems and methods. In some embodiments, the present technology includes interatrial shunting systems that include a shunting element having a lumen extending therethrough that is configured to fluidly couple the left atrium and the right atrium when the shunting element is implanted in a patient. The system can also include an energy receiving component for receiving energy from an energy source positioned external to the body, an energy storage component for storing the received energy, and/or a flow control mechanism for adjusting a geometry of the lumen.

A gateway device comprises a processing device, network interface, and sensor device interconnect. The processing device is configured to pair sensor devices associated with a subject with the gateway device utilizing the sensor device interconnect, wherein pairing the sensor devices comprises identifying sensing capabilities of the sensor devices. The processing device is also configured to provide, to a study coordinating system over a first network connection established utilizing the network interface, a gateway identifier and information characterizing the identified sensing capabilities of the sensor devices paired with the gateway device. The processing device is further configured to receive, from the study coordinating system, parameters for a study identifying data to be collected from sensor devices paired with the gateway device, to collect the identified data from the sensor devices over a second network connection established utilizing the network interface, and to provide the collected data to the study coordinating system.

An eco-system for tracking a user's physiological parameters comprises a central sensor and at least one remote sensor in wireless communication with the central sensor, a portable device readily accessible to the user, and a cloud platform. Each sensor may be worn by the user and measure data indicative of one or more of the physiological parameters. The central sensor may receive and process the measured data from each remote sensor and processes its own measured data. The portable device comprises a receiver wirelessly receiving the processed data and instructions from the central sensor; a processor running a mobile application handling the processed data and instructions; and a transmitter transmitting the processed data. The cloud platform receives the processed data from the transmitter; analyzes the received processed data; and transmits the results of the analysis to at least one of the portable device and an authorized healthcare entity.

A method uses telemetry data based on user habit information or user monitoring. User information is acquired from one or more sensors of a monitoring device. The user information is selected from of at least one of, a user's activities, behaviors and habit information. Signals are routed through ID circuitry at the user monitoring device. User information is communicated between the monitoring device and a telemetry system. A database of user ID's is accessed at the telemetry system. The telemetry system analyzes telemetry data based on at least one of, user's activities, behaviors and habit information, user condition, and user parameter, to create personalized information about the user. One or more contexts of a user activity are associated with an activity manager. The activity manager is a standalone device, included with the telemetry system or included with the monitoring device.

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations.

The invention provides a system and method for measuring vital signs and motion from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

In some implementations, a system can transmit communications indicating an occurrence of a particular type of safety incident experienced by a user. Registration information that indicates that a plurality of safety devices of different types are to be registered with the user is initially obtained. Sensor data from the plurality of safety devices of different types are obtained. An occurrence of a particular type of safety incident experienced by the user is then selected from among a plurality of types of safety incidents. The selection may be based at least on the obtained sensor data and the obtained registration information. A communication is then provided to another user to indicate the occurrence of the particular type of safety incident experienced by the user in response to selecting the occurrence of the particular type of safety incident.

Disclosed is an energy self-sufficient real time bio-signal monitoring and nutrient and/or drug delivery system based on salinity gradient power generation. The energy self-sufficient real time bio-signal monitoring and/or nutrient delivery system based on salinity gradient power generation includes: an electricity generation and nutrient and/or drug delivery module including a reverse electrodialysis device which generates electricity by using a nutrient and/or drug solution and discharge a diluted nutrient solution; and a bio-signal measuring unit inserted into the electricity generation and nutrient and/or drug delivery module and configured to receive electricity from the electricity generation and nutrient and/or drug delivery module and measure a bio-signal.

A wearable device may take a set of health inputs from embedded body sensors for the duration of an activity performed by a user of the wearable device. Based on these inputs, the wearable device can calculate a health parameter (e.g., calories burned during the activity). The wearable device can also track its location during the activity, and provide this location to a geolocation data network. The geolocation data network may provide geolocation data (e.g., weather/environmental/terrain data) pertaining to the wearable device's location. The wearable device can then modify its measurements and/or calculated health parameters based on the geolocation data (e.g. Increasing calories burned during a run due to high heat and uphill terrain in the location of the run).