Medical devices coupled to a sensor, and systems including such devices, can generate data and analysis based on that data, which may be used to identify and/or address problems associated with the implanted medical device, including incorrect placement of the device, unanticipated degradation of the device, and undesired movement of the device. Also provided are medical devices coupled to a sensor, and devices and methods to address problems that have been identified with an implanted medical device.

The invention is autonomous aircraft disease detection system including an on-board medical device for obtaining medical samples from passengers, flight crew or from the cabin air, a pathogen testing station for analyzing the medical samples, and air samples, and a disease detection docking station using a data processor to produce disease detection results, and a transmitter automatically notifying ground-based facilities of any indication of a viral pathogen.

A cardiac monitoring device includes: at least one sensing electrode for obtaining an electrocardiogram (ECG) signal from a patient; a processing unit comprising at least one processor operatively coupled to the at least one sensing electrode; and at least one non-transitory computer-readable medium comprising program instructions that, when executed by the at least one processor, causes the cardiac monitoring device to: obtain the ECG signal from the at least one sensing electrode; determine a transformed ECG signal based on the ECG signal; extract at least one value representing at least one feature of the transformed ECG signal; provide the at least one value to determine a score associated with the ECG signal, thereby providing an ECG-derived score; compare the ECG-derived score to a predetermined threshold score determined by machine learning; and provide an indication of a cardiac event if the ECG-derived score is one of above or below the predetermined threshold score determined by the machine learning.

A system and approach for integrating of health parameters from wearable cloud connected access control devices to provide life safety measures, and also for controlling access to facilities. A monitoring system may incorporate a device for a wearer or holder and a sensor at an entrance to or exit from a specified facility, and a processor connected to the sensor. The device may sense a parameter of the wearer or holder selected from a group of items incorporating heartbeat, blood pressure, blood oxygen, pulse rate, and body temperature. If the selected parameter indicates an abnormal or worsening condition, then the wearer or holder may obtain access to a hospital or health care facility. Health professionals may hold or wear a device that permits them to enter a restricted facility to aid a person within the facility needing medical assistance.

A method for identifying a change associated with a state of health of a user. In one embodiment, the method includes at least one computer processors receiving monitoring data associated with monitoring a user, where the monitoring data is generated by one or more sensors. The method further includes determining a state of health of the monitored user by analyzing the monitoring data utilizing one or more models. The method further includes determining a level of urgency based, at least in part, upon the determine state of health of the monitored user. The method further includes transmitting one or more respective notifications to one or more devices based, at least in part, on the determined state of health of the user and the corresponding level of level of urgency, and where a notification includes a determined state of health and the corresponding determined state of urgency associated with the monitored user.

A device (10) for converting a movement of a user into a voltage comprises a neck cord (20), a piezoelectric sensor (30) and a printed circuit board (40). The neck cord is coupled to the piezoelectric sensor and provides in use a pulling force that acts on the piezoelectric sensor in a first direction. The printed circuit board is electrically and mechanically coupled to the piezoelectric sensor. The weight of the printed circuit board cause in use a gravity force to act on the piezoelectric sensor in a second direction, which differs from the first direction such that the movement of the user (5) wearing the neck cord causes a change in the shape of the piezoelectric sensor which in response thereto generates the voltage. The voltage may be used as a supply source for an electrical component (41) mounted on the PCB, or may be used as a wake-up signal for an electrical component such as a processor (41) or an accelerometer.

A monitoring system includes a wearable appliance; and a processor coupled to the wearable appliance to analyze vital data or wellness data.

Embodiments include methods, systems and computer program products for monitoring a user of a helmet for a traumatic brain injury. Aspects include monitoring one or more eyes of the user with a camera embedded in the helmet and analyzing, by a processor, one or more characteristics of the one or more eyes of the user. Aspects also include determining whether the one or more characteristics of the eyes indicate that the user may have suffered the traumatic brain injury and creating an alert that the user of the helmet may have suffered the traumatic brain injury.

Systems and methods for integrated automated sports data collection and analytics are disclosed. Different types of data, for example but not limited, location data, movement data, impact data and biometric data for individual players are collected via wearable sensors in real time during a sports activity and transmitted to a cloud-based platform together with other sports data, including video, timing, scoring, statistics, and events with time code. The cloud-based platform is operable to aggregate, correlate, organize and synchronize various data related to the sports activity; store, query and retrieve various live data and historical data in and from a proprietary database; and perform analytics and provide intelligence to different parties involved in a sports activity, including coaches, trainers, medical staff, live announcers, broadcasters, displays, viewers, and fans and etc. These different parties may subscribe to licensed access to the cloud-based platform for tailored data feeds with real time push.

The present invention provides an alarm system for monitoring a physical disorder of a user during an immersive virtual reality (VR) experience. The alarm system includes a physical information monitoring module, a control module, a display module, an alarm module, and a power module. The control module is configured to receive the human body physical sign information transmitted by the physical information monitoring module and feed back the information to the display module and the alarm module. When a user wearing a VR device has an adverse physical response during an experience and use, the alarm system of the present invention can quickly transmit a corresponding warning and prompt according to a detected abnormal physical sign. If the user has an adverse physical response and cannot carry out self-help, a remote call for help can be quickly made through software, thereby providing maximum protection for the user.