A computer device generates a response to an emergency being reported by a plurality of sensor devices. The memory contains a sensor data engine and a determinant code calculator. The computer device determines the likelihood of an emergency based on received sensor data and, in some embodiments, answers received from an information provider. The sensor data engine receives external sensor data, determines data values associated with the external sensor data, and calculates an emergency likelihood based on the data values. The determinant code calculator generates a determinant code based on the calculated likelihood, and provides the code to an emergency responder system to generate an emergency dispatch response.

This application provides a method and apparatus of analyzing the ECG frequency parameters with applications for the diagnosis of ST-segment elevation myocardial infarction (STEMI) diseases, which relates to the interdisciplinary field of biomedical and science engineering. The method includes obtaining ECG signals from subjects through the designed electrodes; calculating ECG frequency domain parameters of the subjects based on the proposed power spectrum model and getting the analytical validation results after studying and verifying the parameters; generating indicators based on the analytical validation results, which could be potentially used as alternative indicators for STEMI diagnosis; and alerting when the indicators meet preset abnormal conditions. The present embodiment is a powerful tool to diagnose STEMI diseases faster and more effectively and helps patients receive timely assistance and treatment.

An approach for providing assistance to an operator of a vehicle during a medical event and/or driving impairment is disclosed. The approach includes determines driving profile of a driver, monitors the driver during a trip, identifies an occurrence of the medical event associated with the driver. The approach generates an initial action list in responsive the occurrence of the medical event. The approach executes the initial action list and determines whether the driver is cognizant. The approach generates a subsequent action list in responsive to the driver is not cognizant and executes the subsequent action list.

A computer-assisted patient navigational communication system for receiving electronic and oral communications from a patient, scanning data to determine the medical needs of the patient, and displaying relevant information to appropriate medical personnel who can immediately advise the patient of the most appropriate source of medical assistance relating to the patient's identified symptoms.

Dispatch-aiding communications between computing devices of a responder and a dispatch unit include a computing device of the responder determining that an event occurred, automatically sending an indication of the event to a computing device of the dispatch unit, receiving a request for information from the computing device of the dispatch unit, obtaining the information requested by the computing device of the dispatch unit, and sending the information requested by the computing device of the dispatch unit to the computing device of the dispatch unit. The computing device of the dispatch unit sends the request for information to the computing device of the responder in response to receiving the indication of the event.

Featured are devices (e.g., peripheral devices) and systems that interact with a device having sensors (e.g., a wearable device or device configured for use with a piece of equipment, such as a vehicle) to receive and process data (e.g., physiological data) from the sensors. Also featured are computer implemented methods including software (e.g., an application) for receiving and processing data by the peripheral device. An application that communicates with the device (e.g., wearable device or equipment device) and sensor information processed by the application or a device running or accessing the application provides situational awareness for users in adverse conditions, such as during combat or wartime. The wearable device may include one or more inflatable bladders configured to apply pressure to a wound site for treatment.

A vehicle allocation service system includes an acquisition unit configured to acquire biological information and positional information of a user, a selection unit configured to select a moving object to be provided to the user based on the biological information, a decision unit configured to acquire priority added to a satisfied condition of the biological information of the user and decide an order of vehicle allocation for the selected moving object according to the priority, and an instruction unit configured to instruct the selected moving object to move according to the positional information.

An example device of a patient includes an antenna configured to wirelessly receive communication from a medical device; and processing circuitry coupled to the antenna and configured to: determine that the received communication indicates that a patient is experiencing an acute health event; in response to the determination, determine one or more physical states of the patient based on sensed data from one or more sensors; confirm that the patient is not experiencing the acute health event based on the determined one or more physical states; and output information based on the confirmation that the patient is not experiencing the acute health event.

A method, system, apparatus, and/or device that may include: a first sensor operable to take a first physiological measurement; a second sensor operable to take a second physiological measurement; and a processing device operatively coupled to the first sensor and the second sensor. The processing device may be operable to: receive a first measurement data for the first physiological measurement; receive a second measurement data for the second physiological measurement; generate an event data set based on the first measurement data with the second measurement data; determine an event occurred based on the event data set; determine a type of the event; and in response to the event being a safety event: determine a type of the safety event; identify a risk level of the safety event; and in response to the risk level exceeding a threshold level, notify a second device of the safety event.

A monitoring system for a patient fall risk protocol includes a support apparatus that includes a sensor configured to sense a position of a patient. A control unit is in communication with the sensor. The control unit is configured to monitor the position of the patient relative to a monitoring area on the support apparatus. The control unit is configured to determine a preliminary risk evaluation. A controller is in communication with the support apparatus. The controller is configured to receive the preliminary risk evaluation from the support apparatus and adjust a monitoring level of the monitoring area in response to the preliminary risk evaluation.