An implantable monitoring device includes first sensors to measure state information of one or both of a posture and an activity of a user and second sensors to measure bioinformation of two or more of an electrocardiogram (ECG) of a heart of the user, a pulmonary impedance of a lung of the user, a movement of the heart, a movement of a thorax including the lung, and a respiratory quotient (RQ) of the lung, two electrodes to detect bioinformation to measure one or both of the ECG and the pulmonary impedance, an analog circuit to process the detected bioinformation to measure the one or both of the ECG and the pulmonary impedance, and a processor to monitor an abnormal state of the heart and the lung of the user based on the state information and the bioinformation.

A method for signaling a measured and/or a predetermined vital parameter and/or vital parameter pattern for a vehicle occupant in a vehicle involves arranging a functional element set up to have a visual and/or audible and/or haptic effect on at least one vehicle occupant, and a measured and/or a predetermined vital parameter and/or vital parameter pattern is signaled non-verbally by the functional element.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations for parasomnia episode management. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations for parasomnia episode management using at least one of pre-sleep parasomnia episode likelihood prediction machine learning models, in-sleep parasomnia episode likelihood prediction machine learning models, augmented parasomnia episode likelihood prediction machine learning models that are configured to generate conditional likelihood scores for candidate parasomnia reduction interventions, deep reinforcement learning machine learning models that are configured to generate recommended parasomnia reduction interventions, and dynamically-deployable parasomnia episode likelihood prediction machine learning models.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations for parasomnia episode management. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations for parasomnia episode management using at least one of pre-sleep parasomnia episode likelihood prediction machine learning models, in-sleep parasomnia episode likelihood prediction machine learning models, augmented parasomnia episode likelihood prediction machine learning models that are configured to generate conditional likelihood scores for candidate parasomnia reduction interventions, deep reinforcement learning machine learning models that are configured to generate recommended parasomnia reduction interventions, and dynamically-deployable parasomnia episode likelihood prediction machine learning models.

Systems and methods for authenticating users are described herein. One or more inputs including of biometric data, physical trait data, and other data sources may be collected passively when an individual is present in a space. A confidence ratio associated with one or more of the collected inputs may be determined. One or more of the determined confidence ratios may be evaluated together to determine a final confidence ratio for a user, on which an authentication decision is based. An access level may be selected from a plurality of access levels with different access privileges based on the determined confidence ratio. Authentication may be continuous or ongoing.

Provided is a WCD system, including a collection module, a master control module and a defibrillation module; the collection module collects a signal, and has human body motion detection and vibration prompting functions; the master control module has a VF/VT analysis algorithm to analyze the collected signal, and can control a power supply of the defibrillation module; the defibrillation module has the VF/VT analysis algorithm and a defibrillation control function. Through the independent defibrillation module and the independent collection module, the reliability of the system can be improved.

An electrocardiogram electrode application system includes electrodes that detect electrical signals connected by a single connecting wire and transmitters capable of wirelessly transmitting the detected electrical signals to a computing device for analysis.

An apparatus for measuring patient data includes a frame having a plurality of electrode hubs. Each hub can include one or more electrode members. The frame can be configured to receive a head of a patient. Each of the electrode hubs can have a single electrode member or a plurality of electrode members that extend from or are connected to an outer member for contacting a scalp of the head of the patient. The outer member can have at least one circuit configured to transmit data received by at least one of the electrode members to a measurement device via a wireless communication connection (e.g. Bluetooth, near field communication, etc.) or a wired communication connection.

The present invention provides a stretchable and flexible multi-leads ECG monitoring apparatus having a primary circuitry encased in a thin and flexible polymer patch configured to be worn on a human body. At least four flexible leads are connected to the primary circuitry at a first end and are configured to be connected to ECG electrode patches at a second end. The ECG electrode patches being configured to be attached to a plurality positions on a human body. The wireless transmitter is configured to transmit the ECG monitoring signals to a receiving device for recording or displaying the ECG monitoring signal.

A wearable electrode includes an electrode (203) fixed to garment (21) such that the electrode (203) can simultaneously come in contact with the skin of respective parts from the ventral side to the dorsal side of the upper left part of the body of a wearer (20), and an electrode (204) fixed to the garment such that the electrode (204) can simultaneously come in contact with the skin of respective parts from the ventral side to the dorsal side of the upper right part of the body of the wearer (20). The electrodes (203, 204) are installed such that the attaching positions gradually descend from the ventral side to the dorsal side with the wearer (20) standing upright, or the attaching positions gradually ascend from the ventral side to the dorsal side with the wearer (20) standing upright.