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公开(公告)号:US20060107954A1
公开(公告)日:2006-05-25
申请号:US11151685
申请日:2005-06-13
申请人: Richard Katz , Jeffrey Hall , Albert Nuttall , Tracey Dodenhoff , Douglas Sawyer
发明人: Richard Katz , Jeffrey Hall , Albert Nuttall , Tracey Dodenhoff , Douglas Sawyer
CPC分类号: A61B5/0205 , A61B5/024 , A61B5/04017 , A61B5/0402 , A61B5/0476 , A61B5/0488 , A61B5/087 , A61B5/4818 , A61B5/6819 , A61B5/7203
摘要: A method is provided for identifying a disease of a patient. The method includes collecting data of at least one cardio-respiratory function of the patient over time, eliminating artifacts from the collected data to create a new data record, constructing a phase-space from the new data record, and constructing a hypercube covering the phase-space. The method further includes calculating threshold criteria for quantifying dispersion characteristics of an attractor of the phase-space and determining the patient's tendency towards the disease based on the threshold criteria.
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公开(公告)号:US20050020930A1
公开(公告)日:2005-01-27
申请号:US10897304
申请日:2004-07-22
申请人: John Salisbury , Tracey Dodenhoff
发明人: John Salisbury , Tracey Dodenhoff
IPC分类号: A61B5/00 , A61B5/0402 , A61B5/08
CPC分类号: A61B5/4806 , A61B5/0402 , A61B5/08 , A61B5/0809 , A61B5/145 , A61B5/4818
摘要: An apparatus and method for identifying sleep disordered breathing while the patient is awake. The device includes collection of raw data which is normalized, then conditioned and transformed for comparison against a threshold, enabling identification of the presence of and severity of sleep disordered breathing. Step 1 is the collection of raw data and normalization. Step 2 is the conditioning of the data (using Empirical Mode Decomposition or similar technique). Step 3 is the selection of several components in the conditioned data. Step 4 is the performing of a Hilbert transform on the conditioned data. Step 5 is selecting a constant frequency. Step 6 is charting output against a threshold. Step 7 is identifying the patient's condition based on an array of amplitudes and the threshold.
摘要翻译: 一种用于在患者清醒时识别睡眠无序呼吸的装置和方法。 该装置包括原始数据的收集,其被标准化,然后进行条件化和变换以与阈值进行比较,使得能够识别睡眠呼吸紊乱的存在和严重程度。 步骤1是收集原始数据和归一化。 步骤2是调节数据(使用经验模式分解或类似技术)。 步骤3是在条件数据中选择几个组件。 步骤4是在条件数据上执行希尔伯特变换。 步骤5是选择恒定频率。 步骤6是针对阈值绘制输出。 步骤7是基于幅度和阈值的阵列识别患者的状况。
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