Abstract: A sensor calibration method and system dynamically compute a bias offset which is subtracted from field strength readings generated by a sensor to correct them. The three-dimensional space around a sensor is seeded with orientation targets. As the sensor is rotated to different orientations, field strength readings are generated by the sensor and assigned to different targets based on estimated proximity. Once occupancy of targets conforms to a first state of occupancy, a coarse bias offset is computed for the sensor using readings from occupied targets. Once occupancy of targets conforms to a second state of occupancy, a refined bias offset is computed for the sensor using readings from occupied targets. Multiple sensors may be calibrated concurrently. Moreover, a user interface provides a real-time graphic showing the location and occupancy status of individual targets and highlighting the individual target best aligned with a most recent corrected sensor reading.

Abstract: A method is provided for selectively enabling inertial measurement unit (IMU) sensors. The method comprises enabling a gyroscope of the IMU sensors for generating a device orientation output estimate, selectively enabling an accelerometer of the IMU sensors for improving the device orientation output estimate when a magnitude of an angular velocity is less than a centripetal velocity threshold, an accelerometer jitter error estimate is less than a gyroscopic orientation error estimate, a filled accelerometer filter length is less than a full length of an accelerometer filter, and a filled magnetometer filter length is less than a full length of a magnetometer filter. The method also includes enabling a magnetometer of the IMU sensors when the accelerometer is enabled, and an accelerometer gravitational error angle is less than a predetermined accelerometer gravitational error angle threshold.

Abstract: A method is provided for selectively enabling inertial measurement unit (IMU) sensors. The method comprises enabling a gyroscope of the IMU sensors for generating a device orientation output estimate, selectively enabling an accelerometer of the IMU sensors for improving the device orientation output estimate when a magnitude of an angular velocity is less than a centripetal velocity threshold, an accelerometer jitter error estimate is less than a gyroscopic orientation error estimate, a filled accelerometer filter length is less than a full length of an accelerometer filter, and a filled magnetometer filter length is less than a full length of a magnetometer filter. The method also includes enabling a magnetometer of the IMU sensors when the accelerometer is enabled, and an accelerometer gravitational error angle is less than a predetermined accelerometer gravitational error angle threshold.

Abstract: The present invention provides a method and engine for defining respiration events in body sensor signals that are highly accurate and compatible with many different classes of respiration monitoring devices. The present method and engine provide improved respiration event definition through the expedients of dynamic thresholding, segment merging and tail identification.

Abstract: A sensor calibration method and system dynamically compute a bias offset which is subtracted from field strength readings generated by a sensor to correct them. The three-dimensional space around a sensor is seeded with orientation targets. As the sensor is rotated to different orientations, field strength readings are generated by the sensor and assigned to different targets based on estimated proximity. Once occupancy of targets conforms to a first state of occupancy, a coarse bias offset is computed for the sensor using readings from occupied targets. Once occupancy of targets conforms to a second state of occupancy, a refined bias offset is computed for the sensor using readings from occupied targets. Multiple sensors may be calibrated concurrently. Moreover, a user interface provides a real-time graphic showing the location and occupancy status of individual targets and highlighting the individual target best aligned with a most recent corrected sensor reading.

Abstract: A wearable physiological acoustic sensor has an embedded and stacked acoustic sensing component architecture that inhibits motion-related impulse noise and environmental background noise, and provides good body sound capture, good patient comfort and an unobtrusive presence. The embedded and stacked component architecture also includes an environmental microphone that enables cancellation of background noise for further noise reduction.

Abstract: A method and system for low latency, low power, high fidelity wireless transmission of quaternions provides superior performance of real-time applications that transmit and consume quaternions. The method and system provide a quaternion transmission protocol wherein quaternion sources, such as sensor units, construct quaternion update packets containing quaternions encoded in a notation that both conserves bandwidth and preserves angular resolution provided by quaternions. The update packets are transmitted on a wireless communication link to a quaternion destination, such as a data hub, which deconstructs and interprets the update packets.

Abstract: A model-based method for assessing acoustic signal quality in a heart monitoring device. The personal heart sound interval distribution of a person being actively monitored is compared with a modeled global heart sound interval distribution shared by most human beings after which processing action is taken consistent with the quality assessment. The error in the best fit between the personal interval distribution and the global interval distribution is presumed to be caused predominantly by noise, allowing the quality of the fit to serve as a proxy for the level of noise in the acoustic signal and used in making processing decisions.

Abstract: A respiration monitoring method and device with context-aware noise detection use context supplied by neighboring events when deciding how to classify a target event. More particularly, the present invention considers similarities between a target event and neighboring events relative to event attributes and timing to inform the decision whether to classify the target event as a respiration event or a noise event. Target events classified as noise events are removed from the respiration signal or otherwise ignored when estimating respiration parameters.

Abstract: A remote support site having a detector internally collecting information on a user-selectable intrinsic broadcast characteristic of a media-playing set or television and a server enabling specification of a preferred setting for such characteristic from this information. A method including maintaining a remote site, therefrom internally collecting information from the set about a user-selectable intrinsic broadcast characteristic, and therefrom specifying a preferred setting for such characteristic. A similar method but information detected upon user request about user-adjustable component for selecting on-screen characteristic and final step is remotely adjusting component. A similar method but information is about broadcast characteristic potentially selectable initially by user instead remotely specified initially. A similar method but information is about plural broadcast characteristics and final step is remotely providing settings for each.

Abstract: A noise event suppression technique for a monitoring system detects a noise event in a signal waveform when a focal sample in the waveform has an amplitude greater than an amplitude of algorithmically determined earlier and later samples in the waveform that are noncontiguous with the focal sample. When the monitoring system detects the noise event, the monitoring system reduces the amplitude of the focal sample to an amplitude between those of the earlier and later samples. The monitoring system outputs data determined using the waveform once noise events have been adequately suppressed.

Abstract: The present invention provides a method and engine for defining respiration events in body sensor signals that are highly accurate and compatible with many different classes of respiration monitoring devices. The present method and engine provide improved respiration event definition through the expedients of dynamic thresholding, segment merging and tail identification.

Abstract: A wearable physiological acoustic sensor has an embedded and stacked acoustic sensing component architecture that inhibits motion-related impulse noise and environmental background noise, and provides good body sound capture, good patient comfort and an unobtrusive presence. The embedded and stacked component architecture also includes an environmental microphone that enables cancellation of background noise for further noise reduction.

Abstract: A noise event suppression technique for a monitoring system detects a noise event in a signal waveform when a focal sample in the waveform has an amplitude greater than an amplitude of algorithmically determined earlier and later samples in the waveform that are noncontiguous with the focal sample. When the monitoring system detects the noise event, the monitoring system reduces the amplitude of the focal sample to an amplitude between those of the earlier and later samples. The monitoring system outputs data determined using the waveform once noise events have been adequately suppressed.

Abstract: A computing device having an optimized file system and methods for use therein. File system optimizations include sector-aligned writes, anchored cluster searches, anchored index searches, companion caches dedicated to particular file management data types and predictive cache updates, all of which expedite processing on the computing device. The file system optimizations are especially advantageous for data collection systems where an embedded device is tasked with logging to a target memory data received in a continuous data stream and where none of the streamed data is deleted until after the target memory has been offloaded to another device.

Abstract: A model-based method for assessing acoustic signal quality in a heart monitoring device. The personal heart sound interval distribution of a person being actively monitored is compared with a modeled global heart sound interval distribution shared by most human beings after which processing action is taken consistent with the quality assessment. The error in the best fit between the personal interval distribution and the global interval distribution is presumed to be caused predominantly by noise, allowing the quality of the fit to serve as a proxy for the level of noise in the acoustic signal and used in making processing decisions.

Abstract: A computing device having an optimized file system and methods for use therein. File system optimizations include sector-aligned writes, anchored cluster searches, anchored index searches, companion caches dedicated to particular file management data types and predictive cache updates, all of which expedite processing on the computing device. The file system optimizations are especially advantageous for data collection systems where an embedded device is tasked with logging to a target memory data received in a continuous data stream and where none of the streamed data is deleted until after the target memory has been offloaded to another device.

Abstract: A remote support site having a detector internally collecting information on a user-selectable intrinsic broadcast characteristic of a media-playing set or television and a server enabling specification of a preferred setting for such characteristic from this information. A method including maintaining a remote site, therefrom internally collecting information from the set about a user-selectable intrinsic broadcast characteristic, and therefrom specifying a preferred setting for such characteristic. A similar method but information detected upon user request about user-adjustable component for selecting on-screen characteristic and final step is remotely adjusting component. A similar method but information is about broadcast characteristic potentially selectable initially by user instead remotely specified initially. A similar method but information is about plural broadcast characteristics and final step is remotely providing settings for each.

Abstract: A multistage system and method for estimating respiration parameters from an acoustic signal. At a first stage, the method and system detect and isolate portions of the signal that exhibit long-term, moderate amplitude noise by analyzing cumulative energies in the signal, and portions of the signal that exhibit short-term, high amplitude noise by analyzing peak energies in the signal. At a second stage, the method and system filter heart sound from the signal energy envelope by applying an adaptive filter that minimizes the loss of respiration sound. At a third stage, the system and method isolate respiration phases in the signal by identifying trends in the energy envelope. Once respiration phases are isolated, these phases are used to estimate respiration parameters, such as respiration rate and I/E ratio.

Abstract: Dual path noise detection and isolation for an acoustic respiration monitoring system detects noise in an acoustic signal recording lung sounds using two discrete noise detection techniques. A first technique detects portions of the signal that exhibit long-term, moderate amplitude noise by analyzing cumulative energy in the signal. A second technique detects portions of the signal that exhibit short-term, high amplitude noise by analyzing peak energy in the signal. Noisy portions of the signal are isolated using the combined results of the dual path detection. A respiration parameter is estimated using the signal without resort to the noisy portions and information based at least in part on the respiration parameter is outputted.