Disclosed herein are mobile battery powered medical carts, methods of operating these carts to increase efficiency of health-care operations, and methods of accurately calculating remaining battery runtime for these carts. A mobile battery powered medical cart may comprise a wheeled base portion having a sliding battery power bay, an upper workstation area having a monitor, a computer, and a printer, and at least one adjustable height column coupling the wheeled base portion to the upper workstation area. The carts may include a glass overlay display positioned on a top surface of the upper workstation area and having anti-bacterial and chemical resistant properties. The glass overlay display may be configured to provide medical employees with haptic feedback on remaining battery runtime, calculated via a custom algorithm for increased accuracy.

A medical cart apparatus includes at least one component and at least one holster that is tilted with respect to a horizontal plane and is configured to hold or store the at least one component. The medical cart apparatus is ergonomic and conveniently and securely stores elements in the cart. The holster is configured as a storage area, holder, or receptacle, and the holster has a back wall, at least one side, at least one side cut-out, a lip at an entrance of the holster, and a bottom surface that is tilted at the angle with respect to the horizontal plane. The side cut-outs of the holster provide visibility by showing whether a component is in the holster or not, and provide accessibility by facilitating or allowing easy insertion and easy takeout of the at least one component from the holster.

A method is provided, performed by a wearable computing device comprising at least one bio-signal measuring sensor, the at least one bio-signal measuring sensor including at least one brainwave sensor, comprising: acquiring at least one bio-signal measurement from a user using the at least one bio-signal measuring sensor, the at least one bio-signal measurement comprising at least one brainwave state measurement; processing the at least one bio-signal measurement, including at least the at least one brainwave state measurement, in accordance with a profile associated with the user; determining a correspondence between the processed at least one bio-signal measurement and at least one predefined device control action; and in accordance with the correspondence determination, controlling operation of at least one component of the wearable computing device, such as modifying content displayed on a display of the wearable computing device. Various types of bio-signals, including brainwaves, may be measured and used to control the device in various ways.

A system for monitoring quantitative health data of a user, the system includes a stationary sensor device for monitoring a first set of quantitative health data of the user when the user is resting in bed; and a wearable tracker for monitoring a second set of quantitative health data of the user when the user is resting; wherein the wearable tracker is worn by the user; the first set and second set are sequential in time to obtain around-the-clock monitoring of the quantitative health data of the user.

A method for emergency response handling includes receiving an emergency signal from at least one of a vehicle or a user device of an occupant of the vehicle. Sensor data from one or more sensors in the vehicle or the user device is collected. An in-vehicle emergency is detected based on the sensor data and a severity level and a context associated with the in-vehicle emergency are determined. From a plurality of responses, one or more responses are selected, based on the determined severity level and context, for handling the in-vehicle emergency. Response actions are executed based on the selected responses. Execution of the response actions includes communicating, an instruction to at least one of the user device, an emergency contact, a response team, and user devices associated with users present within a first distance from the vehicle.

A method is provided, performed by a wearable computing device comprising at least one bio-signal measuring sensor, the at least one bio-signal measuring sensor including at least one brainwave sensor, comprising: acquiring at least one bio-signal measurement from a user using the at least one bio-signal measuring sensor, the at least one bio-signal measurement comprising at least one brainwave state measurement; processing the at least one bio-signal measurement, including at least the at least one brainwave state measurement, in accordance with a profile associated with the user; determining a correspondence between the processed at least one bio-signal measurement and at least one predefined device control action; and in accordance with the correspondence determination, controlling operation of at least one component of the wearable computing device, such as modifying content displayed on a display of the wearable computing device. Various types of bio-signals, including brainwaves, may be measured and used to control the device in various ways.

A method, apparatus and computer program product of determining a state of a vehicle driver, the method comprising: receiving an image of the driver captured by a hyper spectral camera capable of imaging body features invisible to a human; receiving telemetry information from a car telemetry system; analyzing the image to receive at least one indicator to a clinical parameter of the driver; and fusing the at least one indicator with the telemetry information to obtain an assessment to a stress level of the driver.

A method and system for integrated diagnostic testing and real-time treatment that includes a medical data gathering device to capture multiple of source images, where at least one of the source images contains a fiducial marker. The method and system incorporate a low latency encoder to encode the captured source images into a data stream and further includes an environmental sensor device for the capturing of sensor data. A processor is used to contextually modify the source images based on the captured sensor data and the fiducial marker and a transmitting device is used to transmit the contextually modified source images to a display device.

A training apparatus has an input device and a wearable computing device with a bio-signal sensor and a display to provide an interactive virtual reality (VR) environment for a user. The bio-signal sensor receives bio-signal data from the user. The user interacts with content that is presented in the VR environment. The user interactions and bio-signal data are scored with a user state score and a performance scored. Feedback is given to the user based on the scores in furtherance of training. The feedback may update the VR environment and may trigger additional VR events to continue training.

A training apparatus has an input device and a wearable computing device with a bio-signal sensor and a display to provide an interactive virtual reality (VR) environment for a user. The bio-signal sensor receives bio-signal data from the user. The user interacts with content that is presented in the VR environment. The user interactions and bio-signal data are scored with a user state score and a performance scored. Feedback is given to the user based on the scores in furtherance of training. The feedback may update the VR environment and may trigger additional VR events to continue training.