Abstract: A method and apparatus are for determining a medical biomarker indicative of a neurodegenerative disease. The method includes receiving motion data from a sensor held or mounted for rotation with a body part of the user during a repeated rotational motion of the body part. The motion data are provided relative to a frame of reference associated with the sensor. The motion data are processed to identify orientation in the frame of reference associated with the sensor of primary, secondary, and tertiary axes of rotation for the motion of the body part of the user, each of the primary, secondary and tertiary axes being mutually perpendicular to one another. A medical biomarker is extracted by analysing the rotational motion of the body part of the user about the primary, secondary and tertiary axes.

Abstract: A computer-implemented method performed at a health study management system collects health-related data from data sources, including sensors monitoring system users. A modular data ingestion subsystem includes interface modules adapted to receive health-related data from a respective type of data source. A modular data processing subsystem includes processing modules, processing health-related data to determine derived health indicators. The system receives configuration information for a health study using the health study management system, the configuration information specifying data collection activities, for collecting respective health-related data. The data collection activities include sensor-based data collection activities associated with a sensor type for collecting sensor data, and processing collected sensor data. The data ingestion subsystem and data processing subsystem are configured for the health study.

Abstract: An audio matching technique generates audio fingerprints from a captured audio signal. Coarse and Fine fingerprints are generated from the captured audio. The coarse fingerprint is used to match with a set of coarse fingerprints stored in a database to identify a subset of possibly matching database entries. The fine fingerprint is then used to perform a detailed comparison with fine fingerprints associated with the subset of possibly matching database entries in order to find a match for the captured audio signal.

Abstract: A computer-implemented method performed at a health study management system collects health-related data from data sources, including sensors monitoring system users. A modular data ingestion subsystem includes interface modules adapted to receive health-related data from a respective type of data source. A modular data processing subsystem includes processing modules, processing health-related data to determine derived health indicators. The system receives configuration information for a health study using the health study management system, the configuration information specifying data collection activities, for collecting respective health-related data. The data collection activities include sensor-based data collection activities associated with a sensor type for collecting sensor data, and processing collected sensor data. The data ingestion subsystem and data processing subsystem are configured for the health study.

Abstract: A computer-implemented method performed at a user device for obtaining health-related data is disclosed. The method comprises receiving, over a communications network, a data collection configuration from a health monitoring system, the data collection configuration comprising schedule data defining a schedule of data collection activities to be performed at the user device, each data collection activity for acquiring at the user device respective health-related data. Based on the schedule data, a target time at which each data collection activity is to be performed is determined; and the data collection activities are initiated at the user device in accordance with their respective determined target times to obtain health-related data for the data collection activities. Result data is then transmitted to the health monitoring system based on the obtained health-related data.

Abstract: A computer-implemented method obtains health-related data at a user device, which runs a data collection application for obtaining health-related data. The data collection application supports data collection in: a sensor-based data collection mode for receiving health-related data from user device sensors, a user data input mode for obtaining health-related data based on user input of a configurable set of health-related data values, and an interactive health assessment mode for executing configurable interactive assessments for obtaining health-related data based on user/device interaction. A health monitoring system sends a data collection configuration, which specifies data collection activities. Each data collection activity is associated with a data collection mode(s) and is performed by the data collection application in accordance with the associated data collection mode to obtain health-related data.

Abstract: A method is performed in a health study management system for collecting health-related data from user devices associated with participants in a health study. The health-related data may include: data indicative of user health, and source data from which data indicative of user health can be derived. The method includes receiving a health study configuration specifying data collection activities for a health study and scheduling information for the data collection activities. For each study participant, a data collection configuration is generated including schedule data based on the health study configuration for a user device associated with the study participant. The schedule data defines a schedule of data collection activities performed at the user device, each data collection activity obtaining respective health-related data for the study participant. The data collection configuration generated is transmitted to each user device to configure data collection activities to be performed at the user device.

Abstract: A method and apparatus are for movement analysis. The apparatus and method receive acceleration data from an accelerometer (or measurements from other motion sensors) that is carried by a user. The acceleration data is divided into epochs and a determination is made as to whether the user is walking or running within each epoch. Consecutive epochs in which the user is found to be walking may be concatenated to determine periods of time during which the user is walking or running. An initial estimate of the time that the user starts to walk or run and stops walking or running are determined for each period of walking. An iterative optimization process is then performed to determine accurate start and stop times for the period of walking or running.

Abstract: An apparatus and method determine movement information for a user that carries an accelerometer whilst moving. The apparatus receives acceleration data from the accelerometer defined relative to a frame of reference of the accelerometer. A transformation is determined and applied to the acceleration data or to data derived from the acceleration data to determine acceleration data is a user frame of reference that includes a user direction of travel and a side to side direction transverse to the user direction of travel. The acceleration data or data derived from the acceleration data is analyzed to determine a time period corresponding either to a user stride period or to a step period as the user is walking or running; and information about accelerations in the side to side direction are used to disambiguate whether the determined time period corresponds to the user stride period or to the user step period.

Abstract: A method and apparatus are for movement analysis. The apparatus and method receive acceleration data from an accelerometer (or measurements from other motion sensors) that is carried by a user. The acceleration data is divided into epochs and a determination is made as to whether the user is walking or running within each epoch. Consecutive epochs in which the user is found to be walking may be concatenated to determine periods of time during which the user is walking or running. An initial estimate of the time that the user starts to walk or run and stops walking or running are determined for each period of walking. An iterative optimization process is then performed to determine accurate start and stop times for the period of walking or running.

Abstract: An apparatus and method determine movement information for a user that carries an accelerometer whilst moving. The apparatus receives acceleration data from the accelerometer defined relative to a frame of reference of the accelerometer. A transformation is determined and applied to the acceleration data or to data derived from the acceleration data to determine acceleration data is a user frame of reference that includes a user direction of travel and a side to side direction transverse to the user direction of travel. The acceleration data or data derived from the acceleration data is analyzed to determine a time period corresponding either to a user stride period or to a step period as the user is walking or running; and information about accelerations in the side to side direction are used to disambiguate whether the determined time period corresponds to the user stride period or to the user step period.

Abstract: An audio matching technique generates audio fingerprints from a captured audio signal. Coarse and Fine fingerprints are generated from the captured audio. The coarse fingerprint is used to match with a set of coarse fingerprints stored in a database to identify a subset of possibly matching database entries. The fine fingerprint is then used to perform a detailed comparison with fine fingerprints associated with the subset of possibly matching database entries in order to find a match for the captured audio signal.

Abstract: An audio matching technique generates audio fingerprints from a captured audio signal. Coarse and Fine fingerprints are generated from the captured audio. The coarse fingerprint is used to match with a set of coarse fingerprints stored in a database to identify a subset of possibly matching database entries. The fine fingerprint is then used to perform a detailed comparison with fine fingerprints associated with the subset of possibly matching database entries in order to find a match for the captured audio signal.

Abstract: An audio matching technique generates audio fingerprints from a captured audio signal. Coarse and Fine fingerprints are generated from the captured audio. The coarse fingerprint is used to match with a set of coarse fingerprints stored in a database to identify a subset of possibly matching database entries. The fine fingerprint is then used to perform a detailed comparison with fine fingerprints associated with the subset of possibly matching database entries in order to find a match for the captured audio signal.

Abstract: A communications system distributes code word pairs within the audio of a television or radio program or the like. Each pair of code words includes an ID code word that is the same for a given program and a synchronization code word that is unique within the program. A portable user device is able to synchronize itself to the program using the embedded synchronization code words.

Abstract: A user interface includes a display for displaying of a plurality of sensor data sets representative of signals associated with a plurality of sensors configured for sensing of a subsurface. At least some of the sensors are configured for subsurface sensing in a manner differing from other sensors of the plurality of sensors. Each of the sensor data sets comprises sensor data samples each associated with geographic position data. The sensor data sets are shown overlaid within a volume depicted on the display. The graphical representations of the sensor data sets are individually viewable within the volume and displayed in geographical alignment relative to one another within the volume in accordance with the geographic position data of the sensor data samples of each of the sensor data sets.

Abstract: A communications system distributes code word pairs within the audio of a television or radio program or the like. Each pair of code words includes an ID code word that is the same for a given program and a synchronization code word that is unique within the program. A portable user device is able to synchronize itself to the program using the embedded synchronization code words.

Abstract: A communications system distributes code word pairs within the audio of a television or radio program or the like. Each pair of code words includes an ID code word that is the same for a given program and a synchronization code word that is unique within the program. A portable user device is able to synchronize itself to the program using the embedded synchronization code words.

Abstract: A movable platform has a front end, a back end, a longitudinal axis, and at least one axle oriented generally transverse to the longitudinal axis and located between the front and back ends for supporting wheels of the platform. A position sensor is affixed on the platform at a location other than at a location defined by a plane passing through the axle and normal to the longitudinal axis. The position sensor provides position data as the platform traverses a path. A sensor arrangement is supported by the platform and configured to provide subsurface sensor data as the platform traverses the path. A processor is configured to associate the position data with the sensor data relative to a reference frame and in a manner that accounts for dynamic motion of the platform.

Abstract: A communications system distributes code word pairs within the audio of a television or radio program or the like. Each pair of code words includes an ID code word that is the same for a given program and a synchronization code word that is unique within the program. A portable user device is able to synchronize itself to the program using the embedded synchronization code words.