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1. 发明授权

US09047226B2 Computing device having optimized file system and methods for use therein 有权
标题翻译：具有优化文件系统的计算设备及其中使用的方法
公开(公告)号：US09047226B2
公开(公告)日：2015-06-02
申请号：US13848538
申请日：2013-03-21
申请人： Sharp Laboratories of America, Inc.
发明人： Renjit Tom Thomas , Bryan Severt Hallberg
IPC分类号： G06F12/08 , G06F12/12 , G06F17/30
CPC分类号： G06F12/128 , G06F12/0811 , G06F12/0866 , G06F17/30067
摘要： 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.
摘要翻译：具有优化的文件系统的计算设备及其中使用的方法。文件系统优化包括扇区对齐的写入，锚定的集群搜索，锚定索引搜索，专用于特定文件管理数据类型的伴随高速缓存和预测性高速缓存更新，所有这些都加速了计算设备上的处理。文件系统优化对于数据收集系统是特别有利的，其中嵌入式设备被任务记录到在连续数据流中接收的目标存储器数据，并且其中没有一个流数据被删除，直到目标存储器被卸载到另一个设备。

2. 发明授权

US09883820B2 Method and engine for defining respiration events in body sensor signals 有权
公开(公告)号：US09883820B2
公开(公告)日：2018-02-06
申请号：US14231275
申请日：2014-03-31
申请人： Sharp Laboratories of America, Inc.
发明人： Bryan Severt Hallberg
IPC分类号： G01N33/48 , A61B5/08 , G06F19/00 , G06G7/58 , A61B5/00
CPC分类号： A61B5/0816 , A61B5/082 , A61B5/7264 , A61B5/7275 , G06F19/00 , G06F19/32 , G16H10/40
摘要： 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.

3. 发明授权

US09521483B2 Wearable physiological acoustic sensor 有权
标题翻译：穿戴式生理声学传感器
公开(公告)号：US09521483B2
公开(公告)日：2016-12-13
申请号：US14159663
申请日：2014-01-21
申请人： Sharp Laboratories of America, Inc.
发明人： Bryan Severt Hallberg , Glenn Peter Piekstra
IPC分类号： A61B7/04 , H04R1/46
CPC分类号： H04R1/46 , H04R2410/05
摘要： 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.
摘要翻译：可穿戴的生理声学传感器具有嵌入和堆叠的声学感测部件结构，其阻止运动相关的脉冲噪声和环境背景噪声，并且提供良好的身体声音捕获，良好的患者舒适度和不引人注目的存在。嵌入式和堆叠式组件架构还包括一个环境麦克风，可以消除背景噪音，进一步降低噪音。

4. 发明授权

US09370336B2 Model-based method for assessing acoustic signal quality in heart monitoring device 有权
标题翻译：用于评估心脏监测装置声学信号质量的基于模型的方法
公开(公告)号：US09370336B2
公开(公告)日：2016-06-21
申请号：US13894528
申请日：2013-05-15
申请人： Sharp Laboratories of America, Inc.
发明人： Bryan Severt Hallberg , Fredrick Norman Hill
IPC分类号： A61B7/04
CPC分类号： A61B7/04
摘要： 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.
摘要翻译：一种用于评估心脏监测装置中的声信号质量的基于模型的方法。将被主动监测的人的个人心音间隔分布与大多数人共享的建模的全球心音间隔分布进行比较，之后处理动作与质量评估一致。假设个人间隔分布与全局间隔分布之间最佳拟合的误差主要由噪声引起，允许拟合的质量用作声信号中噪声水平的代理，并用于制作处理决定。

5. 发明申请

US20160370203A1 Sensor Calibration Method and System 审中-公开
标题翻译：传感器校准方法和系统
公开(公告)号：US20160370203A1
公开(公告)日：2016-12-22
申请号：US14742852
申请日：2015-06-18
申请人： Sharp Laboratories of America, Inc.
发明人： Bryan Severt Hallberg
IPC分类号： G01C25/00
CPC分类号： G01C25/005 , G01C17/38 , G01C19/00 , G01P21/00 , G01R33/0035
摘要： 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.
摘要翻译：传感器校准方法和系统动态地计算偏差偏移量，该偏移偏移量由传感器产生的场强读数减去以校正它们。传感器周围的三维空间用定向目标种子。当传感器旋转到不同的方向时，场强读数由传感器产生并根据估计的接近度分配给不同的目标。一旦目标的占用符合第一个占用状态，则使用来自占用目标的读数计算传感器的粗偏移偏移。一旦目标的占用符合第二占用状态，就使用来自占用目标的读数来计算传感器的精确偏移偏移。多个传感器可以同时校准。此外，用户界面提供了显示各个目标的位置和占用状态的实时图形，并且突出显示与最近的校正传感器读数最佳对准的各个目标。

6. 发明申请

US20160120479A1 Respiration Monitoring Method and Device with Context-Aware Event Classification 审中-公开
标题翻译：呼吸监测方法和设备与上下文感知事件分类
公开(公告)号：US20160120479A1
公开(公告)日：2016-05-05
申请号：US14529949
申请日：2014-10-31
申请人： Sharp Laboratories of America, Inc.
发明人： Bryan Severt Hallberg
IPC分类号： A61B5/00 , A61B7/00 , A61B5/08
CPC分类号： A61B5/7264 , A61B5/0816 , A61B5/0836 , A61B5/7203 , A61B5/7246 , A61B5/7282 , A61B7/003 , A61B2562/0204
摘要： 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.
摘要翻译：当决定如何对目标事件进行分类时，具有上下文感知噪声检测的呼吸监测方法和装置使用由相邻事件提供的上下文。更具体地，本发明考虑了目标事件和相邻事件之间相对于事件属性和定时的相似性，以通知决定是否将目标事件分类为呼吸事件或噪声事件。分类为噪声事件的目标事件从呼吸信号中消除，或在估计呼吸参数时被忽略。

7. 发明申请

US20150199951A1 Noise Event Suppression for Monitoring System 有权
标题翻译：监控系统噪声事件抑制
公开(公告)号：US20150199951A1
公开(公告)日：2015-07-16
申请号：US14155564
申请日：2014-01-15
申请人： Sharp Laboratories of America, Inc.
发明人： Bryan Severt Hallberg
IPC分类号： G10K11/16
CPC分类号： G10K11/16 , A61B5/0205 , A61B5/024 , A61B5/0816 , A61B5/113 , A61B5/6803 , A61B5/6823 , A61B5/7203 , A61B2562/0204
摘要： 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.
摘要翻译：当波形中的焦点样本的振幅大于与焦点样本不相关的波形中算法上确定的较早和稍后样本的幅度时，用于监视系统的噪声事件抑制技术检测信号波形中的噪声事件。当监控系统检测到噪声事件时，监控系统将焦点样本的幅度减小到较早和较晚样本的幅度之间的幅度。一旦噪声事件被充分抑制，监控系统就会输出使用波形确定的数据。

8. 发明申请

US20140343446A1 Model-Based Method for Assessing Acoustic Signal Quality in Heart Monitoring Device 有权
标题翻译：用于评估心脏监测装置中声信号质量的基于模型的方法
公开(公告)号：US20140343446A1
公开(公告)日：2014-11-20
申请号：US13894528
申请日：2013-05-15
申请人： Sharp Laboratories of America, Inc.
发明人： Bryan Severt Hallberg , Frederick Norman Hill
IPC分类号： A61B7/04
CPC分类号： A61B7/04
摘要： 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.
摘要翻译：一种用于评估心脏监测装置中的声信号质量的基于模型的方法。将被主动监测的人的个人心音间隔分布与大多数人共享的建模的全球心音间隔分布进行比较，之后处理动作与质量评估一致。假设个人间隔分布与全局间隔分布之间最佳拟合的误差主要由噪声引起，允许拟合的质量用作声信号中噪声水平的代理，并用于制作处理决定。

9. 发明申请

US20140289470A1 Computing Device Having Optimized File System and Methods for Use Therein 有权
标题翻译：优化文件系统的计算设备及其使用方法
公开(公告)号：US20140289470A1
公开(公告)日：2014-09-25
申请号：US13848538
申请日：2013-03-21
申请人： SHARP LABORATORIES OF AMERICA, INC.
发明人： Renjit Tom Thomas , Bryan Severt Hallberg
IPC分类号： G06F12/12 , G06F12/08
CPC分类号： G06F12/128 , G06F12/0811 , G06F12/0866 , G06F17/30067
摘要： 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.
摘要翻译：具有优化的文件系统的计算设备及其中使用的方法。文件系统优化包括扇区对齐的写入，锚定的集群搜索，锚定索引搜索，专用于特定文件管理数据类型的伴随高速缓存和预测性高速缓存更新，所有这些都加速了计算设备上的处理。文件系统优化对于数据收集系统是特别有利的，其中嵌入式设备被任务记录到在连续数据流中接收的目标存储器数据，并且其中没有一个流数据被删除，直到目标存储器被卸载到另一个设备。

10. 发明授权

US10352725B2 Sensor calibration method and system 有权
公开(公告)号：US10352725B2
公开(公告)日：2019-07-16
申请号：US14742852
申请日：2015-06-18
申请人： Sharp Laboratories of America, Inc.
发明人： Bryan Severt Hallberg
IPC分类号： G01C25/00 , G01C17/38 , G01C19/00 , G01P21/00 , G01R33/00
摘要： 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.

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