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公开(公告)号:US20160287122A1
公开(公告)日:2016-10-06
申请号:US15079339
申请日:2016-03-24
发明人: Conor Heneghan
IPC分类号: A61B5/04 , A61B5/11 , A61B5/0408 , A61B5/0456 , A61B5/08
CPC分类号: A61B5/04017 , A61B5/0402 , A61B5/0452 , A61B5/113 , A61B5/4818 , A61B5/7264 , A61B5/7278 , A61B2562/0219
摘要: Methods and apparatus perform periodic breathing detection, such as Cheyne-Stokes respiration detection. The detection may be performed by one or more processors, such as by analysis of data from one or more sensors. In some cases, the detection may be based on an electrocardiogram (ECG) signal, such as from ECG electrodes and/or an accelerometer signal, such as from an accelerometer. An occurrence of periodic breathing may be detected based on features derived from the signal(s). For example, detection may be based on deriving a respiration signal from the sensed signal(s) and/or analysis of RR interval times or relative QRS amplitude values, which may be evaluated on a segment-by-segment basis. The detection may provide monitoring and reporting of the occurrence of periodic breathing by a monitoring device and/or provide a basis for controlling changes to a provided respiratory treatment or therapy, such as by a respiratory pressure therapy device.
摘要翻译: 方法和装置执行定期呼吸检测,如Cheyne-Stokes呼吸检测。 检测可以由一个或多个处理器执行,例如通过分析来自一个或多个传感器的数据。 在一些情况下,检测可以基于心电图(ECG)信号,例如来自ECG电极和/或加速度计信号,例如来自加速度计。 可以基于从信号导出的特征来检测周期性呼吸的发生。 例如,检测可以基于从感测的信号导出呼吸信号和/或分析RR间隔时间或相对QRS振幅值,其可以逐段评估。 该检测可以通过监测装置提供监测和报告周期性呼吸的发生和/或提供用于控制所提供的呼吸治疗或治疗的改变的基础,例如通过呼吸压力治疗装置。
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公开(公告)号:US20140163343A1
公开(公告)日:2014-06-12
申请号:US14029423
申请日:2013-09-17
发明人: Conor Heneghan , Conor Hanley , Niall Fox , Philip De Chazal
IPC分类号: A61B5/0205 , A61B5/08
摘要: An apparatus, system, and method monitors the motion, breathing, heart rate and sleep state of subjects, e.g., humans, in a convenient, non-invasive/non-contact, and low-cost fashion. More particularly, the motion, breathing, and heart rate signals are obtained through processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Periods of sleep disturbed respiration, or central apnea can be detected through analysis of the respiratory signal. The mean heart rate, and derived information, such as the presence of cardiac arrhythmias can be determined from the cardiac signal. Motion estimates can be used to recognize disturbed sleep and periodic limb movements. The sleep state may be determined by applying a classifier model to the resulting streams of respiratory, cardiac and motion data. A means for display of the sleep state, respiratory, cardiac, and movement status may also be provided.
摘要翻译: 装置,系统和方法以方便,非侵入/非接触和低成本的方式监测受试者(例如人)的运动,呼吸,心率和睡眠状态。 更具体地,通过应用于以非接触方式获得的原始信号的处理(通常使用射频传感器)获得运动,呼吸和心率信号。 睡眠期间呼吸紊乱或中枢性呼吸暂停可以通过分析呼吸信号进行检测。 可以从心脏信号中确定平均心率和派生信息,例如心律不齐的存在。 运动估计可用于识别受扰的睡眠和周期性肢体运动。 可以通过将分类器模型应用于所得到的呼吸,心脏和运动数据流来确定睡眠状态。 还可以提供用于显示睡眠状态,呼吸,心脏和运动状态的装置。
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公开(公告)号:US12070325B2
公开(公告)日:2024-08-27
申请号:US17523599
申请日:2021-11-10
IPC分类号: A61B5/00 , A61B5/0533 , A61B5/11 , A61B7/00 , A61M16/00 , G16H50/20 , G16H50/30 , A61B5/0205 , A61B5/024 , A61B5/0245 , A61B5/08 , A61B5/18 , A61B5/291 , A61B5/352 , A61B5/369
CPC分类号: A61B5/4815 , A61B5/0022 , A61B5/0533 , A61B5/1118 , A61B7/003 , A61M16/0069 , G16H50/20 , G16H50/30 , A61B5/02055 , A61B5/02405 , A61B5/0245 , A61B5/0816 , A61B5/18 , A61B5/291 , A61B5/352 , A61B5/369 , A61B5/4818 , A61B5/7253 , A61B5/7257 , A61B5/7264 , A61B5/746 , A61B2560/0242
摘要: A system monitors fatigue of a user. The system (100) may include one or more data sources, such as a non-obtrusive sleep sensor, configured to generate objective sleep measures of the user. The system may also include a fatigue monitoring module, which may be configured to generate an assessment, such as in one or more processors, of the fatigue state of the user based on the data from the one or more data sources.
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公开(公告)号:US11337645B2
公开(公告)日:2022-05-24
申请号:US16445894
申请日:2019-06-19
摘要: A sleep monitoring system includes an ECG device (2) and a respiration inductance plethysmogram (3) which monitor cardiac activity and physical (ribcage) respiration respectively and feed representative signals to a digital data processor. Operations (5-9) process the beat interval data, while in a second thread, operations (20-24) independently process the amplitude modulation of the ECG data caused by the respiratory motion of the subject. The inductance plethysmogram device (3) provides an input to the processor which represents respiration as directly monitored independently of the ECG. Operations (30-34) process this direct respiration data independently and in parallel, in a third thread. All extracted features are fed to a classifier which in step (10) combines selected combinations of features to make decisions in real time.
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公开(公告)号:US10376670B2
公开(公告)日:2019-08-13
申请号:US14900532
申请日:2014-07-08
发明人: Redmond Shouldice , Colin John Lawlor , Matthew Norton , David Mulligan , Stephen McMahon , Paul Phillips , Damien O'Rourke , Luke Gahan , Marc Lavelle , Conor Heneghan , Alberto Zaffaroni , Gareth McDarby
摘要: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.
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公开(公告)号:US10159421B2
公开(公告)日:2018-12-25
申请号:US15079339
申请日:2016-03-24
发明人: Conor Heneghan
IPC分类号: A61B5/0456 , A61B5/04 , A61B5/00 , A61B5/0402 , A61B5/0452 , A61B5/113
摘要: Methods and apparatus perform periodic breathing detection, such as Cheyne-Stokes respiration detection. The detection may be performed by one or more processors, such as by analysis of data from one or more sensors. In some cases, the detection may be based on an electrocardiogram (ECG) signal, such as from ECG electrodes and/or an accelerometer signal, such as from an accelerometer. An occurrence of periodic breathing may be detected based on features derived from the signal(s). For example, detection may be based on deriving a respiration signal from the sensed signal(s) and/or analysis of RR interval times or relative QRS amplitude values, which may be evaluated on a segment-by-segment basis. The detection may provide monitoring and reporting of the occurrence of periodic breathing by a monitoring device and/or provide a basis for controlling changes to a provided respiratory treatment or therapy, such as by a respiratory pressure therapy device.
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公开(公告)号:US20160151603A1
公开(公告)日:2016-06-02
申请号:US14900532
申请日:2014-07-08
发明人: Redmond Shouldice , Colin John Lawlor , Matthew Norton , David Mulligan , Stephen McMahon , Paul Phillips , Damien O'Rourke , Luke Gahan , Marc Lavelle , Conor Heneghan , Alberto Zaffaroni , Gareth McDarby
CPC分类号: A61M21/02 , A61M2021/0027 , A61M2021/0083 , A61M2021/0088 , A61M2205/18 , A61M2205/3303 , A61M2205/3306 , A61M2205/3368 , A61M2205/3375 , A61M2205/3584 , A61M2205/502 , A61M2205/52 , A61M2205/581 , A61M2205/583 , A61M2205/80 , A61M2230/40 , A61M2230/63 , G10L15/265 , G10L25/78 , G10L2015/223 , H04R3/00 , H04R5/04 , H04R29/00 , H04R2430/01
摘要: A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.
摘要翻译: 处理系统包括促进睡眠的方法。 系统可以包括诸如非接触运动传感器的监视器,可以从其中确定睡眠信息。 可以为用户记录,评估和/或显示用户睡眠信息,例如睡眠阶段,呼吸记录,睡眠评分,心理充盈分数和身体得分。 该系统可以进一步监测对应于睡眠会话的环境和/或环境条件。 可以基于来自一个或多个睡眠会话的睡眠信息,用户查询和/或环境条件来生成睡眠建议。 通信的睡眠咨询可以包括促进良好睡眠习惯和/或检测风险睡眠状况的内容。 在系统的一些版本中,可以实现床边单元3000传感器模块,智能处理设备(例如智能电话或智能设备3002)和网络服务器中的任何一个或多个,以执行系统的方法。
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公开(公告)号:US20150164375A1
公开(公告)日:2015-06-18
申请号:US14403398
申请日:2013-05-30
发明人: Klaus Henry Schindhelm , Steven Paul Farrugia , Michael Waclaw Colefax , Faizan Javed , Rami Khushaba , Conor Heneghan , Philip De Chazal , Alberto Zaffaroni , Niall Fox , Patrick Celka , Emer O' Hare , Stephen James Redmond
CPC分类号: A61B5/113 , A61B5/0507 , A61B5/08 , A61B5/0816 , A61B5/087 , A61B5/097 , A61B5/103 , A61B5/1115 , A61B5/1118 , A61B5/1126 , A61B5/4809 , A61B5/4818 , A61B5/7221 , A61B5/7246 , A61B5/7264 , A61B5/7275 , A61B5/742 , A61B5/746 , G08B21/02 , G16H40/63 , G16H50/20 , G16H50/30
摘要: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.
摘要翻译: 公开了一种心肺健康监测装置。 该装置包括非接触运动传感器,其被配置为产生一个或多个运动信号,其表示在监视会话期间患者的身体运动; 处理器 以及存储器存储程序指令,其被配置为使处理器执行处理所述一个或多个移动信号的方法。 该方法包括从所述一个或多个运动信号中提取一个或多个睡眠无序呼吸特征,以及基于所述一个或多个睡眠无序呼吸特征来预测临床事件是否可能在预定预测期间内发生。
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公开(公告)号:US20140088373A1
公开(公告)日:2014-03-27
申请号:US14031553
申请日:2013-09-19
发明人: Paul Phillips , Conor Heneghan , Trevor Murray
CPC分类号: A61B5/4812 , A61B5/05 , A61B5/0507 , A61B5/0816 , A61B5/1118 , A61B5/113 , A61B5/726 , A61B5/7264 , A61B5/7278 , A61B2562/0228 , A61M16/0069 , A61M2205/3303 , A61M2230/63
摘要: Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor may access sensor data signals related to bodily movement and respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include variability of respiration rate or variability of respiration amplitude. A processor may then determine a sleep stage based on a combination bodily movement and respiration variability. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).
摘要翻译: 方法和设备通过睡眠阶段的检测来监测健康。 例如,睡眠阶段监视器可以访问与身体运动和呼吸运动相关的传感器数据信号。 可以分析至少一部分检测到的信号以计算呼吸变异性。 呼吸变异性可能包括呼吸频率的变化或呼吸振幅的变化。 处理器然后可以基于组合运动和呼吸变异性来确定睡眠阶段。 睡眠阶段的确定可以区分深睡眠和其他睡眠阶段,或者可以区分深度睡眠,轻睡眠和REM睡眠。 身体运动和呼吸运动信号可以从一个或多个传感器(例如非侵入式传感器(例如,非接触式射频运动传感器或压敏床垫))导出。
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公开(公告)号:US11801009B2
公开(公告)日:2023-10-31
申请号:US16846959
申请日:2020-04-13
发明人: Gareth McDarby , Emer O'Hare , Paul Phillips , Conor Heneghan , Trevor Murray
CPC分类号: A61B5/4812 , A61B5/05 , A61B5/0507 , A61B5/0816 , A61B5/113 , A61B5/726 , A61B5/7264 , A61B5/7278 , A61M16/0069 , A61B5/1118 , A61B2562/0228 , A61M2205/3303 , A61M2230/63
摘要: Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).
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