A biosensor assembly that measures multiple physical parameters is disclosed. The biosensor assembly includes a first implantable probe and a first skin contacting electrode. Wherein a first physiological parameter is measured between the first implantable probe and the first skin contactable electrode.

A subject's Default Mode Network is accessed through corresponding measurements of the Micro-Coherence Oximetry Network Strength (MCO-S). An associated MCO-S system (100) includes a wearable (102), a user device (112) and a processing platform (123). The wearable (102) collects subject information sufficient to enable monitoring and optimization of the subject's Default Mode Network include sensors such as pulse oximetry instrumentation and EEG electrodes to obtain brainwave data, oxygen saturation data, heart rate variability data, and galvanic skin conductance data. Information from the sensors may be communicated to a user device (112), such as a cell phone or VR headset. The user device (112) communicates with a remote processing platform (123) that may execute artificial intelligence functionality and other logic in connection with assessing the patient's micro-coherence network strength and optimizing behavior modification protocols in relation to attributes and objectives of the subject.

A method of treating a human subject which is effected by inhalation of gaseous nitric oxide, the method comprising a first treatment period comprising administering gNO by inhalation over a period of about at least 5 days, wherein the first treatment period is followed by a second treatment period comprising administering gNO by inhalation over a period of at least 3 months. The method can be utilized for treating a human subject suffering from, or prone to suffer from, a disease or disorder that is manifested in the respiratory tract, or from a disease or disorder that can be treated via the respiratory tract.

Disclosed in the present disclosure is a method, system and apparatus for prediction, estimation and prevention of occurrence of agitation episode in a subject predisposed to agitation. The method comprises receiving, from a first monitoring device attached to a subject, physiological data of sympathetic nervous system activity in the subject and activity data of the subject; receiving, from a computing device, a plurality of indications associated with a plurality of agitation episodes of the subject; analyzing, using at least one machine learning model, the physiological data, the activity data, and the plurality of indications to determine a probability of an occurrence of an agitation episode of the subject; and sending a signal to a second monitoring device to notify the second monitoring device of the probability of the occurrence of the agitation episode of the subject such that treatment can be provided to the subject to decrease sympathetic nervous system activity in the subject.

A pilot-monitoring safety system is disclosed. The system comprises a head worn display including one or more heart rate sensors configured to generate heart rate measurements of a user of the head worn display, and one or more eye trackers configured to generate eye-gaze measurements of the user of the head worn display. The system further comprises a pilot-monitoring computing device configured to determine a health state of the user based on at least the heart rate measurements and the eye-gaze measurements, and responsive to the health state indicating a dangerous condition of the user, present an alert to the user using the head worn display. The system further comprises an autopilot computing device configured to, responsive to a predetermined time period elapsing without a response to the visual alert from the user, automatically control an aircraft.

This invention relates to an ingestible drug delivery device configured for wireless communication with other ingestible drug delivery devices.

An image processing device disclosed in the present specification includes a display control unit configured to display, on a display unit, an image obtained by visualizing functional information related to optical characteristics of a subject based on a photoacoustic signal obtained by receiving a photoacoustic wave generated in the subject by irradiating the subject with light, and a correction unit configured to correct the functional information of the image displayed on the display unit based on a first image value of the functional information of the image displayed on the display unit and a second image value of the functional information.

A system and method are described for controlling a vehicle interior environmental condition. A biometric sensor senses a biometric condition of a vehicle seat occupant and generates a sensed biometric condition value. A controller receives the sensed biometric condition value, a sensed interior environmental condition value, and a sensed exterior environmental condition value. Each of multiple exterior environmental condition values has an associated biometric condition value defined as optimal for the vehicle occupant. The controller determines the optimal biometric condition value associated with the sensed exterior environmental condition value, compares the optimal biometric condition value to the sensed biometric condition value, and in response to a difference between the optimal biometric condition value and the sensed biometric condition value, generates a control signal to control an actuator to control the controllable interior environmental condition to reduce the difference between sensed biometric condition value and the optimal biometric condition value.

A medical device capable of transmitting a radiofrequency signal to and/or receiving a radiofrequency signal from an external device is provided. The medical device comprises at least one component that contains a polymer composition that exhibits a dielectric constant of about 6 or less at a frequency of 2 GHz, wherein the polymer composition includes a liquid crystalline polymer.

An electronic battery-operated medical bracelet device that contains the technology to accurately detect collapse/fall or other medical emergencies, through the monitoring of the heart rate, oxygen saturation, heart rhythm, and patient input. The bracelet will also display the vital readings to the user if the readings return as abnormal, in an attempt to persuade the user to seek medical attention before it becomes worse. Once a medical emergency is detected, the device alerts surrounding people and paramedics of the emergency and distributes medical and personal information different for surrounding people and paramedics. This includes medical conditions, health insurance information, next of kin, etc. This information can be uploaded to the device's onboard memory drive and can share the information or steps to reach the information, through an onboard speaker system, Bluetooth pairing, and near-filled communication (NFC) to which paramedics have special access.