Disclosed are systems, methods, and devices that provide automated and secure pairing of a wireless device to a patient monitor device (PMD) and/or network or network of devices using a unique biometric identifier.

A pain measurement and diagnostic system (PMD) for bioanalytical analysis of pain matrix activity and the autonomic nervous system to diagnose and validate patient treatments, health status and outcomes to diagnose and validate patient treatments and outcomes. The PMD is implemented using medical devices for measuring and reporting objective measurements of pain through patient monitoring and analyzing related biological, psychological, social, environmental, and demographic factors that may contribute to and effect physiological outcomes for patients and through the analysis, improve diagnosis of pain, the evaluation of related disease states, and treatment options.

Devices, systems, and methods can be used to suggest a discovery to an individual related to their health and wellness, including receiving data about the individual from a user interface regarding a goal for the individual, querying the individual regarding their perception of the goal, determining, a likely state of the individual (e.g., readiness to change), and selecting a subset of discoveries to display to the individual from a database that correspond to both the goal for the individual and the likely state of the individual. Displaying information may include receiving motion data including duration of motion, classifying a type of activity the individual is engaged in based on the motion data and likely intensity of the activity, and displaying a graphical user interface including a color spectrum, depending on one of the type of activity, intensity of the activity, or duration of the activity.

Systems and methods as described include a system for monitoring health of a user. The system can include a plurality of sensors worn by or implanted in a user. The plurality of sensors can include at least one sensor implanted in the user. The system can include a communication unit electronically coupled with the plurality of sensors and receiving data therefrom. The system can include a controller electronically coupled with the communication unit, the controller configured to perform predictive analytics on data from the plurality of sensors, wherein the controller is configured to output a personalized intervention recommendation to at least one of the user or a health care provider for use by the user to preemptively address one or more health conditions prior to or in lieu of a surgical intervention for the user.

System for managing a patient's glucose level including a glucose sensor to generate raw data signals for measurements of the patient's glucose level. The system further includes sensor electronics operatively coupled to the glucose sensor. The sensor electronics have a memory storing one or more predetermined characteristics associated with the sensor electronics. The sensor electronics are in electronic communication with the glucose sensor. The system further includes a receiving device and external devices, wherein the external devices include a first disposable device and a second disposable device. Each external device is configured for wireless communication with both the receiving device and the sensor electronics. The system enables the transfer of sensor context information from the first disposable device to the second disposable device.

A system and a method for remotely controlling a medical device based on image data are disclosed. The system includes a medical device, an image sensor, and a remote caregiver interface. The medical device includes a controller coupled to a communication network. The image sensor is coupled to the communication network and is configured to capture image data. The remote caregiver interface is coupled to the communication network and is configured to display the image data for viewing by a user, receive a selected remote control function from the user, and transmit an input signal corresponding to the selected remote control function to the controller of the medical device to execute the selected remote control function based on the input signal.

The present disclosure relates to a method for processing noise in biometric information measurement data, wherein the method for processing noise in biometric information measurement data, according to one embodiment of the present invention, may comprise the steps of: measuring biometric information by a sensor-transmitter which is placed on a part of a user's body and which measures biometric information of the user; transmitting data on the measured biometric information from the sensor-transmitter to a communication terminal; processing noise in the biometric information data transmitted to the communication terminal; and displaying the noise-processed biometric information data on the communication terminal. According to the present invention, it is possible to obtain accurate biometric information data by processing various types of noise included in biometric information data by using various algorithms to process steps for removing noise in a sequential manner.

The present disclosure relates to the field of medicine and discloses a medical therapeutic device for monitoring and treating medical condition of patients. The device comprises an input unit, a plurality of sensors, a control unit, a waveform generator unit, and a coupling means. The input unit receives at least one input from a user. The sensors monitor a plurality of predetermined parameters associated with the health of a patient generate detection signals based on the monitored parameters. The control unit selects a program based on the input and the detection signals. The waveform generator unit generates a therapeutic signal of pre-determined values of at least one of voltage, current, and frequency based on the selected program for facilitating treatment of medical condition corresponding to the selected program.

A sensor network for pregnancy monitoring of a subject includes a plurality of sensor systems time-synchronized to each other, each sensor system placed on a respective region of the subject and having a sensor member configured to detect data associated with at least one of physiological parameters of the subject, and a Bluetooth low energy system-on-a-chip configured to process and transmit the detected data; and a controller adapted in wireless communication with the plurality of sensor systems and configured to receive, from the plurality of sensor systems, to process, and to display the physiological parameters.

A patient monitoring system is for a patient, and may include a base and a frame extending upwardly. The patient monitoring system may include a weight sensor carried by the base, a pair of handrails carried by the frame to be grasped by the patient, and a pair of impedance sensors to be attached to the patient while the patient is on the weight sensor. The patient monitoring system may have a controller coupled to the pair of impedance sensors and the weight sensor and configured to sense a lung impedance of the patient, sense a weight of the patient, and determine whether the patient is experiencing CHF based upon the lung impedance and the weight of the patient.