Abstract: An edge device monitors a mechanical system for changes in vibration state. When an overall vibration state of the mechanical system deviates by at least a threshold from an expected vibration state, the edge device can send the data to a server for diagnostic processing. The edge device can thus monitor for a pre-failure condition that suggests an upcoming failure or a need for service. With selective sending of sensor data, the bandwidth and processing associated with diagnostics can be reserved for situations more likely indicative of a condition needing diagnosing, rather than performing constant diagnostic processing.

Abstract: An edge device monitors a mechanical system for changes in vibration state. When an overall vibration state of the mechanical system deviates by at least a threshold from an expected vibration state, the edge device can send the data to a server for diagnostic processing. The edge device can thus monitor for a pre-failure condition that suggests an upcoming failure or a need for service. With selective sending of sensor data, the bandwidth and processing associated with diagnostics can be reserved for situations more likely indicative of a condition needing diagnosing, rather than performing constant diagnostic processing.

Abstract: A method and systems for detecting a gesture and intended input are described herein. In one example, a method includes detecting the gestures from an input device and detecting a set of measurements, wherein each measurement corresponds to a gesture. The method also includes detecting that the set of measurements and the gestures correspond to a stored pattern and determining an intended input from the gestures based on the stored pattern.

Abstract: A system, apparatus and method for mobile real-time feedback based on changes in the heart to enhance cognitive behavioral therapy for anger or stress reduction. In an embodiment, an apparatus receives data relating to a heart of an individual from at least one input device. The apparatus provides a mobile intervention via at least one output device and measures the effectiveness of the mobile intervention in reducing anger or stress in the individual. Other embodiments are described and claimed.

Abstract: A system, apparatus and method for real-time health feedback on a mobile device based on physiological, contextual and self-monitored indicators of mental and physical health states. An embodiment of an apparatus is capable of receiving data relating to the physical or mental health states of a user from an input device and passive sensing. The apparatus is further capable of providing a mobile intervention via an output device and capable of measuring the effectiveness of the mobile intervention in improving the physical or mental health states and generating self-awareness. Other embodiments are described and claimed.

Abstract: The invention relates to an earpiece form factor including technology to monitor physiological, activity and environmental data on a user. The device includes a pulse oximeter unit to provide blood oxygenation level and beat-to-beat timing, a three-axis accelerometer to provide orientation and activity level, and a temperature sensor to provide a subject's skin temperature. The device may also capture other forms of data for the user and the user's surroundings. Captured data are transmitted wirelessly to a mobile phone, PDA or other device that supports wireless transmission, and enables monitoring form another location.

Abstract: A method for communicating data using at least one network linking at least one respondent device with at least one monitoring device, said method comprising the steps of: continuously measuring at least one physiologic parameter for purposes of detecting a predetermined event using said at least one monitoring device; operating said network in an off state in which said network is off except for the periodic transmission of patient status data while said network is in a first operative state wherein said predetermined event has not occurred and transmitting said measured data along said at least one said network in a second state when said predetermined event has occurred.

Abstract: A method for performing context management, said method comprising the steps of: producing a continuous physiologic signal, as detected by a monitoring device; associating at least one unique hardware identifier to said continuous physiologic signal and binding a unique patient identifier to said continuous signal wherein a change in said physiologic signal in which said signal is no longer continuous will cause the unique patient identifier to unbind from said signal.

Abstract: A system for actively monitoring a patient includes at least one body-worn monitoring device that has at least one sensor capable of measuring at least one physiologic parameter and detecting at least one predetermined event. At least one intermediary device is, linked to the body-worn monitoring device by means of a first wireless network and at least one respondent device is linked to said at least one intermediary device by a second wireless network wherein the respondent device is programmed to perform a specified function automatically when the at least one predetermined event is realized. The monitoring device operates to periodically transmit patient status data to the intermediary device but the system predominantly operates in a quiet state, providing very low power consumption.

Abstract: A method and apparatus for efficiently classifying and categorizing data objects such as electronic text, graphics, and audio based documents within very-large-scale hierarchical classification trees is provided. In accordance with one embodiment of the invention, a first node of a plurality of nodes of a subject hierarchy is selected. Previously classified data objects corresponding to a selected first node of a subject hierarchy as well as any associated sub-nodes of the selected node are aggregated to form a content class of data objects. Similarly, data objects corresponding to sibling nodes of the selected node and any associated sub-nodes of the sibling nodes are then aggregated to form an anti-content class of data objects. Features are then extracted from each of the content class of data objects and the anti-content class of data objects to facilitate characterization of said previously classified data objects.