A bio-electrode composition includes (A) an ionic material and (B) a lithium titanate powder. The component (A) is a polymer compound containing a repeating unit-a having a structure selected from an ammonium salt, a sodium salt, a potassium salt, and a silver salt of any of fluorosulfonic acid, fluorosulfonimide, and N-carbonyl-fluorosulfonamide. Thus, the present invention provides a bio-electrode composition capable of forming a living body contact layer for a bio-electrode that is excellent in electric conductivity and biocompatibility, is light-weight, can be manufactured at low cost, and can control significant reduction in the electric conductivity even when the bio-electrode is wetted with water or dried; a bio-electrode including a living body contact layer formed of the bio-electrode composition; and a method for manufacturing the bio-electrode.

A computer-implemented system for training a subject to improve psychophysiological function for performance of stress-inducing activity includes a sensor interface device and a non-transitory, tangible computer readable storage medium storing computer program code. The sensor interface provides measurement of a physiological parameter of the subject, indicating stress in the subject. The computer readable storage medium stores computer code that provides a set of training segments presenting the subject with one or more visual, audible, or tactile prompts wherein at least one of the training segments simultaneously presents the subject with a stress-inducing prompt while inducing the subject to perform a relaxation-inducing protocol.

The present invention provides a personalized, three-dimensional printed, human auricle-specific multiple auricular points' bio-signal acquisition, health status monitoring, and bio-stimulation device, including an artificial ear model made of at least one bio-compatible, flexible polymer, a plurality of sensing and stimulating electrodes with at least one sensing end and a signal acquisition/processing end penetrating through a body of the ear mold conformably with a human auricle so that a surface of the ear mold where sensing end of the electrodes is disposed creates an electrode-human skin interface for bio-signal detection and bio-stimulation responsive thereto. Methods of fabricating the device based on 3-D printing, 3D scanning and modelling techniques and using thereof for bio-signal acquisition, analysis, health status monitoring and bio-stimulation are also provided.

The present invention provides a personalized, three-dimensional printed, human auricle-specific multiple auricular points' bio-signal acquisition, health status monitoring, and bio-stimulation device, including an artificial ear model made of at least one bio-compatible, flexible polymer, a plurality of sensing and stimulating electrodes with at least one sensing end and a signal acquisition/processing end penetrating through a body of the ear mold conformably with a human auricle so that a surface of the ear mold where sensing end of the electrodes is disposed creates an electrode-human skin interface for bio-signal detection and bio-stimulation responsive thereto. Methods of fabricating the device based on 3-D printing, 3D scanning and modelling techniques and using thereof for bio-signal acquisition, analysis, health status monitoring and bio-stimulation are also provided.

Disclosed herein are devices, methods and systems for monitoring and detection of adverse events in a subject. In an embodiment, an insulin delivery device includes an insulin injection device in communication with a controller for controlling the insulin injection device. The controller is configured to receive a heart signal from one or more heart sensors, and a blood glucose signal from one or more blood glucose sensors. The controller is further configured to analyze changes in the heart rhythm of the subject based on the heart signal and determine, based on the changes in the heart rhythm and the blood glucose signal, whether the subject is and/or will be experiencing an adverse event. Upon determination that the subject is or will be experiencing an adverse event, the controller determines one or more parameters of delivery of insulin to be delivered to the subject. Finally, the controller is configured to control the injection device to deliver insulin to the subject in accordance with the determined one or more parameters of delivery.

One or more processors identify an occupant of a passenger vehicle, and then receive biometric sensor readings from a biometric sensor that is monitoring the occupant in real time, where the biometric sensor readings indicate a real-time emotional state of the occupant. The processor(s) generate a personal profile for the occupant of the passenger vehicle based on the biometric sensor readings. The processor(s) receive a desired destination and travel schedule for the occupant of the passenger vehicle, as well as environmental sensor readings indicating a real-time environmental state of the passenger vehicle. The processor(s) then create a travel route for the passenger vehicle based on the biometric sensor readings, the personal profile of the vehicle occupant, the desired destination and travel schedule, and the real-time environmental state of the passenger vehicle. One or more processors then transmit, to the passenger vehicle, directions for the travel route.

The invention provides a system for characterizing a patient including a substrate, a first electrode, a second electrode, and an electrical system. The electrical system is connected to the substrate and worn entirely on the patient's body. The electrical system in electrical contact with both the first and second electrodes and configured to inject an alternating electrical current through the first electrode and into the region of tissue. The electrical system is configured to measure a first electrical signal from the region of tissue through the second electrode. The electrical system is configured to measure a second electrical signal from the region of tissue. The first electrical signal or a signal determined therefrom indicates a resistance of the region of tissue and the second electrical signal or a signal determined therefrom indicates a reactance of the region of tissue.

Systems and methods for using bioimpedance analysis to determine the condition of muscles are generally described.

An impedance monitoring method is applied to a non-implantable electrical stimulation device including an electrical stimulator and an electrode assembly. The electrical stimulator is detachably electrically connected to the electrode assembly, and stores the impedance values of the electrical stimulator and the electrode assembly. The impedance monitoring method includes the following steps. The electrical stimulator generates an electrical stimulation signal. The electrical stimulation signal performs electrical stimulation of a target area through the electrode assembly. The electrical stimulator samples the electrical stimulation signal to calculate the total impedance value corresponding to the electrical stimulation signal. The electrical stimulator calculates the tissue impedance value according to the total impedance value, the impedance value of the electrical stimulator, and the impedance value of the electrode assembly. The tissue impedance value is used to calculate the energy value corresponding to the electrical stimulation signal transmitted to the target area.

An impedance monitoring method is applied to a non-implantable electrical stimulation device including an electrical stimulator and an electrode assembly. The electrical stimulator is detachably electrically connected to the electrode assembly, and stores the impedance values of the electrical stimulator and the electrode assembly. The impedance monitoring method includes the following steps. The electrical stimulator generates an electrical stimulation signal. The electrical stimulation signal performs electrical stimulation of a target area through the electrode assembly. The electrical stimulator samples the electrical stimulation signal to calculate the total impedance value corresponding to the electrical stimulation signal. The electrical stimulator calculates the tissue impedance value according to the total impedance value, the impedance value of the electrical stimulator, and the impedance value of the electrode assembly. The tissue impedance value is used to calculate the energy value corresponding to the electrical stimulation signal transmitted to the target area.