A smart multi-modal telehealth IoT system for respiratory analysis. Such a system includes a body area sensor network comprised of meshed wireless sensor nodes and advanced machine learning techniques. The system may be used to remotely diagnose a user's respiratory illness and monitor their health.

A system for interfacing an in-body medical device with an external network includes a subdermal wideband on-body network (WON) hub, which in turn includes a hub rechargeable battery, a hub processor coupled to the hub rechargeable battery, a device interface configured to communicate with the in-body medical device, and coupled to the hub processor, and a hub-satellite near field communications wireless interface coupled to the hub processor. The system also includes a wearable WON server that in turn includes a server processor, a server-satellite interface coupled to the server processor, and an external network interface coupled to the server processor. The server processor implements a software controller; and a skin-mountable WON tethered satellite that includes a wired satellite-server interface, coupled to the wearable WON server, and a tethered satellite near-field communications (NFC) wireless interface, configured to communicate with the hub-satellite NFC wireless interface, and coupled to the wired satellite-server interface.

A portable system is provided for measuring an analyte, such as acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user, and the application reports measurement data to a remote system.

An intelligent dog collar for monitoring physiological parameters of a dog, comprising: a movement sensor unit comprising an accelerometer and/or a gyrometer, wherein the movement sensor unit is configured to detect raw movement signals of the dog collar, a storage module storing a trained neural network, the neural network being configured to determine a physiologic information into raw movement signals detected by the movement sensor unit, a processing unit connected to the movement sensor unit and configured to operate the trained neural network, a memory configured to store the identified physiologic information, an interface for transmitting to a communication device the identified physiologic information.

An access system having a communication component that interfaces with a first device and a second device, where the first device is located inside or on an entity and coupled to a biological organism of the entity, and where the second device is located outside the entity and a controller component that controls a function of the first device, employing the communication component, to provide treatment to the biological organism of the entity coupled to the first device based on a request received from the second device.

This document discusses, among other things, systems and methods to receive cardiac electrical information and premature ventricular contraction (PVC) information of a subject, detect atrial fibrillation (AF) of the subject using the received cardiac electrical information, and adjust AF detection using the received PVC information.

A method of dispensing a therapeutic fluid from a line includes providing an inlet line connectable to an upstream fluid source. The inlet line is in downstream fluid communication with a pumping chamber. The pumping chamber has a pump outlet. The method also includes actuating a force application assembly so as to restrict retrograde flow of fluid through the inlet while pressurizing the pumping chamber to urge flow through the pump outlet. A corresponding system employs the method.

The present invention provides for a data acquisition system for EEG and other physiological conditions, preferably wireless, and method of using such system. The wireless EEG system can be used in a number of applications including both studies and clinical work. These include both clinical and research sleep studies, alertness studies, emergency brain monitoring, and any other tests or studies where a subject's or patient's EEG reading is required or helpful. This system includes a number of features, which enhance this system over other systems presently in the marketplace. These features include but are not limited to the having multiple channels for looking at a number of physiological features of the subject or patient, a built in accelerometer for looking at a subject's or patient's body motion, a removable memory for data buffering and storage, capability of operating below 2.0 GHz, which among other things allows for more channels, movement artifact correction including video, pressure sensors capable of measuring or determining airflow, tidal volume and ventilation rate, and capability of manual and automatic RF sweep.

Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to generate an indication of neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of an individual with the adapted computerized tasks to derive performance metrics and applying predictive models to generate the indication of neurodegenerative condition.

A system, method and wireless earpieces for populating an electronic health record utilizing wireless earpieces. Sensor measurements of a user are performed utilizing sensors of the wireless earpieces. The sensor measurements are analyzed. The sensor measurements are associated with the electronic health record of the user. The electronic health record of the user is populated with the sensor measurements. Communications including information from the electronic health record are communicated.