941 results about "Health states" patented technology

Described are techniques used in monitoring the performance, security and health of a system used in an industrial application. Agents included in the industrial network report data to an appliance or server. The appliance stores the data and determines when an alarm condition has occurred. Notifications are sent upon detecting an alarm condition. The alarm thresholds may be user defined. A threat thermostat controller determines a threat level used to control the connectivity of a network used in the industrial application.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site.

A vibrational analysis system diagnosis the health of a mechanical system by reference to vibration signature data from multiple domains. Features are extracted from signature data by reference to pointer locations. The features provide an indication of signature deviation from a baseline signature in the observed domain. Several features applicable to a desired fault are aggregated to provide an indication of the likelihood that the fault has manifested in the observed mechanical system. The system may also be used for trend analysis of the health of the mechanical system.

A home-based remote care solution provides sensors including a basic health monitor (BHM) that is a measurement and feedback system. The BHM operates with low power integrated communications combined with an in-home, low power mesh network or programmable digital assistant (PDA) with cell phone technology. A cognitive system allows remote monitoring of the location and the basic health of an individual. The BHM measures oxygen saturation (SaO2), temperature of the ear canal, and motion, including detection of a fall and location within a facility. Optionally, the BHM measures CO2, respiration, EKG, EEG, and blood glucose. No intervention is required to determine the status of the individual and to convey this information to care providers. The cognitive system provides feedback and assistance to the individual while learning standard behavior patterns. An integrated audio speaker and microphone enable the BHM to deliver audio alerts, current measurements, and voice prompts. A remote care provider can deliver reminders via the BHM. The device may be worn overnight to allow monitoring and intervention. Through the ability to inquire, the cognitive system is able to qualify events such as loss of unconsciousness or falls. Simple voice commands activate the device to report its measurements and to give alerts to care providers. Alerts from care providers can be in a familiar voice to assist with compliance to medication regimens and disease management instructions. Simple switches allow volume control and manual activation. The device communicates with a series of low-power gateways to an in-home cognitive server and point-of-care (POC) appliance (computer). Alone the BHM provides basic feedback and monitoring with limited cognitive capabilities such as low oxygen or fall detection. While connected to the cognitive server, full cognitive capabilities are attained. Full alerting capability requires the cognitive server to be connected through an Internet gateway to the remote care provider.

Embodiments of the invention provide apparatuses, computer media, and methods for supporting lifestyle-reward health games, in which execution is altered based on health behavior of the participant. Input data indicative of the health behavior is obtained and converted into a gaming parameter. The gaming parameter is applied to the lifestyle-reward health game in order to alter the execution of the lifestyle-reward health game. A reward parameter for the participant may be determined based on a utility function, and the reward parameter is invoked when the participant is playing the life-reward health game. Feedback to the participant may be incorporated during the execution of the lifestyle-reward health game, where the feedback is indicative of the participant's health behavior. An avatar may be depicted during execution of the lifestyle-reward health game to illustrate a predicted health condition, in which the depiction is altered by changing the timeframe of the predicted health condition.

A method and system for monitoring. The monitoring system may include at least one wearable monitor, which may include an accelerometer, coupled to a user; at least one server communicatively coupled using a network to the at least one wearable monitor, the accelerometer facilitating detection of a fall by the user and transmitting notification of said fall to said at least one server, and the server allowing verification of the fall and adjustment of fall detection parameters either automatically or through a user interface.

The invention discloses a task scheduling method under a cloud computing environment, and belongs to the technical field of computer application. The method of the invention comprises the following steps that: computer nodes register node information from a data center node; the computer nodes transmit health states thereof to a task scheduler through a health state reporting mechanism; the task scheduler allocates tasks to the computer nodes according to the node information, wherein during allocation, the difference between the computer nodes is not considered; computer nodes report the completion of the task to the data center node after each task is completed; the task scheduler allocates a new task to balance the task load between the computer nodes according to the task completion condition of each computer node; the data center node deletes the node information thereof when an abnormal computer node is found, and reallocates the task which is not completed by the node and serves as the new task; and the task scheduler recovers the task which is not completed within a specified time threshold value and reallocates the task as the new task. By the method, the safety for the task allocation under the cloud computing environment can be improved, and the throughput of the task scheduling is effectively improved.

A system and method for automatically varying the flight envelope of an aircraft based upon the material health of the aircraft and the flight environment is provided. The system includes a plurality of structural health monitoring and load sensors that determine the approximate size and the approximate location of the damage. The system performs residual strength calculations for individual aircraft components to determine the overall aircraft residual strength. The system uses these calculations to determine a maximum flight envelope based on the overall aircraft residual strength, and transmits this information to the flight controller and optionally to the pilot.

A computerized monitoring system and corresponding method of monitoring the status and health of a blowout preventer. The system includes a graphics display at which a graphical user interface (GUI) displays the health of various sealing elements and control systems by way of “traffic light” indicators. The health indicators are evaluated, by the monitoring system, based on a risk profile for each of the indicated elements and control systems. The risk profiles are evaluated based on inputs such as measurement inputs, feedback signals, mechanical positions, diagnostic results, drilling conditions, and other status information of the blowout preventer at a given time and based on levels of redundancy and levels of deviation from normal conditions. The GUI includes recent history of changes in operating condition, and alarm indications such as poor health, along with the times of those events.

Disclosed is an apparatus and methodology for providing a personal wellness monitor (PWM) that may be used to measure and store physiological parameters indicative of sustained activity by a User. Data collected by the PWM may be correlated over time with relation to a particular activity mode. Activity modes monitored may include walking, sleeping, exercising, or other activities. The User may be alerted by the PWM as predetermined physiological parameters are reached. Data from the PWM may be uploaded to a Data Center and stored for analysis and historical record in a central database, accessible by the User. The User's historical record may be pertinent in determining changes in health and wellness.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site.

A monitoring system operable to monitor an oilfield additive system having multiple components. The oilfield additive system is operable to transfer an additive-containing substance for injection into a wellbore. The monitoring system includes sensors each associated with, and operable to generate information related to an operational parameter of, a corresponding one of the oilfield additive system components. The monitoring system also includes a monitoring device in communication with the sensors and operable to record the information generated by the sensors to generate a database. The database includes information indicative of maintenance aspects of the oil-field additive system and/or the oilfield additive system components.

The invention discloses an intelligent home based old person caring device and belongs to the technical field of Internet of things. The device comprises a sign detection terminal, a fall detection terminal, a remote server and a personal mobile terminal, wherein the sign detection terminal is used for monitoring pulse, body temperature and heart rate data of a human body in real time and sending the data to the remote server; the fall detection terminal is used for monitoring acceleration, posture change and geographical position of the human body in real time, and sending alarm information and position information to the remote server and the personal mobile terminal when detecting the occurrence of fall, and a user receives falling condition information of old persons in real time through the personal mobile terminal and logging in of the remote server. The device can realize remote access, monitoring and positioning to the device user by medical staff and family members via dependence on the Internet of things about intelligent home while monitoring physical conditions and falling conditions of the old persons, and performs real-time attention on the health status of the old persons, so as to provide rescue and help in the shortest time conveniently.

A status monitoring and reporting mechanism which distinguishes more significant events and prominently displays events pertaining to nodes, interconnections, and other network entities which may present problems, and to suppresses benign messages which may not require immediate attention, provides an “at a glance” view of overall system health. By processing and displaying aggregate status events from a plurality of agent components to highlight the most severe and critical events from among a large volume of general status events allows an operator to quickly diagnose potential problems before detrimental results occur, and helps maintain a general efficient system health by isolating less efficient areas to allow for timely remedial action prior to failure. Various agents disseminated in a storage area network determine and report status events back to a central server. The server receives, aggregates, and processes the status events to display a status array indicative of overall system health.

A portable Chlorophyll Fluorescence Imaging Time (CFIT) system for use in determining plant health. The system includes an enclosure for placement around a plant to be imaged in-situ. There is a controlled light source that controllably provides to the plant light of a desired wavelength range, to controllably irradiate the plant within the enclosure. The chlorophyll fluorescence emitted from the plant both spatially and temporally is captured, and the captured fluorescence information is analyzed to provide plant health information.

Disclosed are techniques used in connection with determining a health indicator (HI) of a component, such as that of an aircraft component. The HI is determined using condition indicators (CIs) which parameterize characteristics about a component minimizing possibility of a false alarm. Different algorithms are disclosed which may be used in determining one or more CIs. The HI may be determined using a normalized CI value. Techniques are also described in connection with selecting particular CIs that provide for maximizing separation between HI classifications. Given a particular HI at a point in time for a component, techniques are described for predicting a future state or health of the component using the Kalmán filter. Techniques are described for estimating data values as an alternative to performing data acquisitions, as may be used when there is no pre-existing data.