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1. 发明申请

US20120029298A1 Linear classification method for determining acoustic physiological signal quality and device for use therein 审中-公开
标题翻译：用于确定声学生理信号质量的线性分类方法及其中使用的装置
公开(公告)号：US20120029298A1
公开(公告)日：2012-02-02
申请号：US12804749
申请日：2010-07-28
申请人： Yongji Fu , Te-Chung Isaac Yang , Bryan Severt Hallberg
发明人： Yongji Fu , Te-Chung Isaac Yang , Bryan Severt Hallberg
IPC分类号： A61B5/00
CPC分类号： A61B5/024 , A61B5/08 , A61B5/7203 , A61B5/7221 , A61B5/7264 , A61B7/00 , G10L25/48
摘要： Linear classification is used to determine the quality of acoustic physiological signal samples. A feature dataset is extracted from acoustic physiological signal samples of known quality (i.e., weak, noisy, good) acquired over a sampling period. A linear discriminant analysis is performed on the feature dataset to determine a direction of a linear classifier for the feature dataset. A classification error risk analysis is performed on the feature dataset to determine an offset of the linear classifier. The linear classifier is used to classify into reliability classes acoustic physiological signal samples acquired over an operating period. Information is selected for outputting using the assigned classifications, and is outputted.
摘要翻译：线性分类用于确定声学生理信号样本的质量。从采样周期获取的已知质量（即，弱，噪声，良好）的声学生理信号样本中提取特征数据集。对特征数据集执行线性判别分析，以确定特征数据集的线性分类器的方向。对特征数据集执行分类误差风险分析，以确定线性分类器的偏移。线性分类器用于分类为运行期间获取的声学生理信号样本的可靠性等级。选择使用分配的分类进行输出的信息，并输出。

2. 发明申请

US20110301426A1 Method and device for conditioning display of physiological parameter estimates on conformance with expectations 审中-公开
标题翻译：用于调节显示符合预期的生理参数估计的方法和装置
公开(公告)号：US20110301426A1
公开(公告)日：2011-12-08
申请号：US12802331
申请日：2010-06-04
申请人： Yongji Fu , Bryan Severt Hallberg
发明人： Yongji Fu , Bryan Severt Hallberg
IPC分类号： A61B5/00
CPC分类号： A61B7/04 , A61B7/003
摘要： Method and device for continual physiological monitoring in which the display of physiological parameter estimates is conditioned on conformance of the estimates with expectations. Current estimates of physiological parameters are compared with expectations for the current estimates determined using prior estimates of the physiological parameters. Nonconformance with expectations can result in display of information indicating present unavailability of an estimate for the physiological parameter. The method and device are adaptable for use with various types of monitored physiological parameters and various expectation metrics.
摘要翻译：用于持续生理监测的方法和装置，其中生理参数估计的显示以估计与期望的一致性为条件。将生理参数的当前估计与使用先前估计的生理参数确定的当前估计值的预期进行比较。不符合预期可能导致显示表示生理参数的估计值的不可用性的信息。该方法和装置适用于各种类型的监测生理参数和各种期望度量。

3. 发明申请

US20100210962A1 Respiratory signal detection and time domain signal processing method and system 审中-公开
标题翻译：呼吸信号检测和时域信号处理方法及系统
公开(公告)号：US20100210962A1
公开(公告)日：2010-08-19
申请号：US12378476
申请日：2009-02-13
申请人： Jingping Xu , Deepak Ayyagari , Yongji Fu
发明人： Jingping Xu , Deepak Ayyagari , Yongji Fu
IPC分类号： A61B5/08
CPC分类号： A61B5/0803 , A61B5/0816 , A61B5/7264
摘要： A respiratory signal detection and time domain signal processing method and system classifies respiratory phases and determines respiratory time data useful in respiratory health determinations. The method and system analyze respiratory signals collected at multiple detection points at least one of which ensures that respiratory phases can be properly classified. Moreover, the method and system employ a time domain signal processing approach that facilitates determination of respiratory time data while realizing savings in computing power relative to frequency domain processing approaches.
摘要翻译：呼吸信号检测和时域信号处理方法和系统对呼吸相进行分类，并确定呼吸健康测定中有用的呼吸时间数据。该方法和系统分析在多个检测点收集的呼吸信号，其中至少一个确保呼吸阶段可以被适当地分类。此外，该方法和系统采用有助于确定呼吸时间数据的时域信号处理方法，同时实现相对于频域处理方法的计算能力的节省。

4. 发明授权

US08154723B2 Method and systems for particle characterization using optical sensor output signal fluctuation 有权
标题翻译：使用光学传感器输出信号波动进行粒子表征的方法和系统
公开(公告)号：US08154723B2
公开(公告)日：2012-04-10
申请号：US12384368
申请日：2009-04-03
申请人： Yongji Fu , Deepak Ayyagari
发明人： Yongji Fu , Deepak Ayyagari
IPC分类号： G01N15/02 , G01N21/00
CPC分类号： G01N15/0205 , G01N2015/0049 , G01N2015/0096 , G01N2015/0216
摘要： Methods and systems for particle characterization using a light fluctuation component of an optical sensor output signal. The use of the light fluctuation component enables particle characterization (e.g. provision of information on particle size, type and confidence) without requiring measurements at multiple wavelengths or multiple angles and using relatively lightweight calculations. The methods and systems allow integration of real-time airborne particle characterization into portable monitors. The methods and systems in some embodiments also use the output signal to further characterize particles through determination of particle density information.
摘要翻译：使用光学传感器输出信号的光波动分量进行粒子表征的方法和系统。光波动分量的使用使得能够进行粒子表征（例如，提供关于粒度，类型和置信度的信息），而不需要在多个波长或多个角度进行测量并且使用相对较轻的计算。该方法和系统允许将实时空中粒子表征集成到便携式监视器中。在一些实施方案中的方法和系统还使用输出信号通过确定颗粒密度信息进一步表征颗粒。

5. 发明申请

US20110230777A1 Lightweight wheeze detection methods and systems 有权
标题翻译：轻度喘鸣检测方法和系统
公开(公告)号：US20110230777A1
公开(公告)日：2011-09-22
申请号：US12661477
申请日：2010-03-18
申请人： Yongji Fu
发明人： Yongji Fu
IPC分类号： A61B5/08
CPC分类号： A61B7/003
摘要： Lightweight wheeze detection methods and systems for portable respiratory health monitoring devices conserve computing resources in portable respiratory health monitoring devices by employing lightweight algorithm that calculates a partial STFT image of a respiratory signal that includes all data points necessary for wheeze detection but excludes many data points that are unnecessary for wheeze detection. The methods and systems provide substantial savings in computing resources while still ensuring every wheeze in a respiratory signal is detected.
摘要翻译：用于便携式呼吸健康监测装置的轻度喘鸣检测方法和系统通过采用轻量化算法来节省便携式呼吸健康监测装置中的计算资源，所述轻量化算法计算包括喘鸣检测所需的所有数据点的呼吸信号的部分STFT图像，但不包括许多数据点不需要喘鸣检测。该方法和系统在计算资源方面提供了显着的节省，同时确保检测到呼吸信号中的每一个喘鸣。

6. 发明申请

US20100256505A1 Health monitoring method and system 审中-公开
标题翻译：健康监测方法和系统
公开(公告)号：US20100256505A1
公开(公告)日：2010-10-07
申请号：US12384367
申请日：2009-04-03
申请人： Jingping Xu , Deepak Ayyagari , Yongji Fu
发明人： Jingping Xu , Deepak Ayyagari , Yongji Fu
IPC分类号： A61B5/0205
CPC分类号： A61B7/003 , A61B5/0205 , A61B7/04
摘要： A heath monitoring method and system estimate a patient's respiratory rate and heart rate using different frequency components of a shared acoustic signal. Use of a common acoustic signal to estimate the patient's respiratory rate and heart rate permit more economical and simplified heath monitoring.
摘要翻译：卫生监测方法和系统使用共享声信号的不同频率分量估计患者的呼吸频率和心率。使用普通的声学信号来估计患者的呼吸频率和心率允许更经济和简化的健康监测。

7. 发明申请

US20140148711A1 Recursive Least Squares Adaptive Acoustic Signal Filtering for Physiological Monitoring System 审中-公开
标题翻译：递归最小二乘自适应声学信号滤波生理监测系统
公开(公告)号：US20140148711A1
公开(公告)日：2014-05-29
申请号：US13684808
申请日：2012-11-26
申请人： Te-Chung Isaac YANG , Yongji FU
发明人： Te-Chung Isaac YANG , Yongji FU
IPC分类号： A61B5/0205 , A61B5/00 , A61B7/00
CPC分类号： A61B5/0205 , A61B5/024 , A61B5/08 , A61B5/0816 , A61B5/6801 , A61B5/725 , A61B7/003
摘要： Recursive least squares (RLS) adaptive acoustic signal filtering for a physiological monitoring system reduces residual heart sound in a primary signal remaining after application of a respiration sound bandpass filter to a first instance of a mixed signal containing respiration sound and heart sound. Residual heart sound in the primary signal is reduced by minimizing a component in the primary signal that correlates with a reference signal containing heart sound but almost no residual respiration sound after application of a heart sound bandpass filter to a second instance of the mixed signal. The correlative component in the primary signal is minimized by applying an adaptive filter to the reference signal and subtracting the filtered reference signal from the primary signal to produce a residue signal, wherein the coefficients for the adaptive filter are selected to minimize the least square error of the residue signal.
摘要翻译：用于生理监测系统的递归最小二乘法（RLS）自适应声信号滤波将施加呼吸声带通滤波器之后剩余的主要信号中的残留心音降低到包含呼吸声和心音的混合信号的第一个实例。主信号中的残留心音通过使与主要信号中的分量相关联而减小，该分量与包含心音的参考信号相关，但在将心音声带通滤波器应用于混合信号的第二实例之后几乎不存在残留呼吸声。通过对参考信号应用自适应滤波器并从主信号中减去经滤波的参考信号以产生残差信号来最小化主信号中的相关分量，其中选择用于自适应滤波器的系数以最小化最小平方误差残留信号。

8. 发明授权

US08506501B2 Lightweight wheeze detection methods and systems 有权
标题翻译：轻度喘鸣检测方法和系统
公开(公告)号：US08506501B2
公开(公告)日：2013-08-13
申请号：US12661477
申请日：2010-03-18
申请人： Yongji Fu
发明人： Yongji Fu
IPC分类号： A61B5/08
CPC分类号： A61B7/003
摘要： Lightweight wheeze detection methods and systems for portable respiratory health monitoring devices conserve computing resources in portable respiratory health monitoring devices by employing lightweight algorithm that calculates a partial STFT image of a respiratory signal that includes all data points necessary for wheeze detection but excludes many data points that are unnecessary for wheeze detection. The methods and systems provide substantial savings in computing resources while still ensuring every wheeze in a respiratory signal is detected.
摘要翻译：用于便携式呼吸健康监测装置的轻度喘鸣检测方法和系统通过采用轻量化算法来节省便携式呼吸健康监测装置中的计算资源，所述轻量化算法计算包括喘鸣检测所需的所有数据点的呼吸信号的部分STFT图像，但不包括许多数据点不需要喘鸣检测。该方法和系统在计算资源方面提供了显着的节省，同时确保检测到呼吸信号中的每一个喘鸣。

9. 发明申请

US20110301428A1 Lightweight automatic gain control for ambulatory monitoring systems 审中-公开
标题翻译：便携式监控系统的轻量级自动增益控制
公开(公告)号：US20110301428A1
公开(公告)日：2011-12-08
申请号：US12802336
申请日：2010-06-04
申请人： Yongji Fu , Bryan Severt Hallberg , Bharat Kumar Vegesna
发明人： Yongji Fu , Bryan Severt Hallberg , Bharat Kumar Vegesna
IPC分类号： A61B5/00 , H03L5/00
CPC分类号： A61B7/04 , A61B5/0428 , A61B7/003
摘要： Lightweight automatic gain control (AGC) methods and systems reduce usage of often scarce computing resources in ambulatory monitoring systems through an AGC algorithm that relies on lightweight calculations and judicious constraints on gain reevaluations and adjustments. Statistical range sampling is used to adjust the gain of a physiological signal to keep the signal within a target amplitude range and may be coupled with dynamic range control to prevent gain adjustments from occurring too frequently. Moreover, gain reevaluations and adjustments may be temporarily suspended when the physiological signal is noisy.
摘要翻译：轻量级自动增益控制（AGC）方法和系统通过AGC算法减少了门诊监控系统中经常稀缺的计算资源的使用，AGC算法依赖于轻量化计算和对增益重新评估和调整的明智约束。使用统计范围采样来调整生理信号的增益以将信号保持在目标幅度范围内，并且可以与动态范围控制相结合，以防止增益调节发生得太频繁。此外，当生理信号嘈杂时，获得重新评估和调整可能会暂时中止。

10. 发明申请

US20110301427A1 Acoustic physiological monitoring device and large noise handling method for use thereon 审中-公开
标题翻译：声学生理监测装置和用于其上的大噪声处理方法
公开(公告)号：US20110301427A1
公开(公告)日：2011-12-08
申请号：US12802332
申请日：2010-06-04
申请人： Yongji Fu , Bryan Severt Hallberg
发明人： Yongji Fu , Bryan Severt Hallberg
IPC分类号： A61B5/00
CPC分类号： A61B7/003 , A61B7/04
摘要： A physiological monitoring device and large noise handling method for use on such a device in which a reliable estimate of a physiological parameter is ensured by identifying and replacing large noise components of a physiological signal prior to estimation. An estimation period for a physiological parameter is segmented into time windows. Noisy time windows within the estimation period are identified. The noisy time windows are replaced with replacement time windows having a baseline amplitude. An estimate of the physiological parameter for the estimation period is calculated using the replacement time windows in lieu of the noisy time windows, and is outputted. If the share of noisy time windows exceeds a predetermined limit share, calculating and/or outputting of an estimate may be precluded. The physiological parameter may be heart rate.
摘要翻译：一种用于这种装置的生理监测装置和大噪声处理方法，其中通过在估计之前识别和替换生理信号的大噪声分量来确保生理参数的可靠估计。生理参数的估计周期被分割成时间窗口。确定估计期内的嘈杂时间窗。噪声时间窗被替换为具有基线幅度的替换时间窗。使用替换时间窗代替噪声时间窗计算估计周期的生理参数的估计值，并输出。如果嘈杂时间窗口的份额超过预定限制份额，则可以排除估计的计算和/或输出。生理参数可以是心率。

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