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    • 1. 发明授权
    • Automated detection of sleep and waking states
    • 自动检测睡眠和醒来状态
    • US08073534B2
    • 2011-12-06
    • US11431425
    • 2006-05-09
    • Philip Low
    • Philip Low
    • A61B5/04
    • G06K9/00536A61B5/048A61B5/4812A61B5/4815A61B5/7203A61B5/726A61B5/7264A61B5/7267
    • Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states.
    • 从频谱数据确定低功率频率范围信息。 与较高功率频率范围相比,可以调整原始信号数据以增加低功率频率范围内的功率的动态范围,以确定用于获取低功率频率范围信息的有价值的调整的源数据。 低功率频率范围信息可用于分析各种原始信号数据。 例如,可以使用从睡眠期间的对象的脑电图数据内的低功率频率范围信息来确定睡眠状态。 类似地,自动全频谱脑电图信号分析可用于定制分析,包括评估睡眠质量,检测病理状况以及确定药物对睡眠状态的影响。
    • 4. 发明申请
    • Diagnosis of macrophage mediated disease
    • 诊断巨噬细胞介导的疾病
    • US20070231266A1
    • 2007-10-04
    • US11648223
    • 2006-12-29
    • Philip LowMary Turk
    • Philip LowMary Turk
    • A61K51/00A61K49/00
    • A61K51/0482A61K9/127A61K47/646A61K47/6849A61K51/1027
    • The invention relates to a method of treating or monitoring/diagnosing a disease state mediated by activated macrophages. The method comprises the step of administering to a patient suffering from a macrophage mediated disease state an effective amount of a composition comprising a conjugate or complex of the general formula Ab-X where the group Ab comprises a ligand capable of binding to activated macrophages, and when the conjugate is being used for treatment of the disease state, the group X comprises an immunogen, a cytotoxin, or a compound capable of altering macrophage function, and when the conjugate is being used for monitoring/diagnosing the disease state, X comprises an imaging agent. The method is useful for treating a patient suffering from a disease selected from the group consisting of rheumatoid arthritis, ulcerative colitis, Crohn's disease, inflammation, infections, osteomyelitis, atherosclerosis, organ transplant rejection, pulmonary fibrosis, sarcoidosis, and systemic sclerosis.
    • 本发明涉及一种治疗或监测/诊断由活化的巨噬细胞介导的疾病状态的方法。 该方法包括向患有巨噬细胞介导的疾病状态的患者施用有效量的组合物的步骤,所述组合物包含通式为“?in-line-formula description =”In-Line Formulas“end =” 导线“>> -X <?in-line-formula description =”In-line Formulas“end =”tail“?>其中组A 能够结合活化的巨噬细胞的配体,当缀合物用于治疗疾病状态时,组X包含免疫原,细胞毒素或能够改变巨噬细胞功能的化合物,当缀合物用于 监测/诊断疾病状态,X包括成像剂。 该方法可用于治疗患有选自类风湿性关节炎,溃疡性结肠炎,克罗恩病,炎症,感染,骨髓炎,动脉粥样硬化,器官移植排斥,肺纤维化,结节病和系统性硬化症的疾病的患者。
    • 8. 发明申请
    • AUTOMATED DETECTION OF SLEEP AND WAKING STATES
    • 自动检测休眠和休眠状态
    • US20120029378A1
    • 2012-02-02
    • US13270099
    • 2011-10-10
    • Philip Low
    • Philip Low
    • A61B5/0476
    • G06K9/00536A61B5/048A61B5/4812A61B5/4815A61B5/7203A61B5/726A61B5/7264A61B5/7267
    • Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states.
    • 从频谱数据确定低功率频率范围信息。 与较高功率频率范围相比,可以调整原始信号数据以增加低功率频率范围内的功率的动态范围,以确定用于获取低功率频率范围信息的有价值的调整的源数据。 低功率频率范围信息可用于分析各种原始信号数据。 例如,可以使用从睡眠期间的对象的脑电图数据内的低功率频率范围信息来确定睡眠状态。 类似地,自动全频谱脑电图信号分析可用于定制分析,包括评估睡眠质量,检测病理状况以及确定药物对睡眠状态的影响。
    • 9. 发明申请
    • Automated detection of sleep and waking states
    • 自动检测睡眠和醒来状态
    • US20070016095A1
    • 2007-01-18
    • US11431425
    • 2006-05-09
    • Philip LowTerrence Sejnowski
    • Philip LowTerrence Sejnowski
    • A61B5/04
    • G06K9/00536A61B5/048A61B5/4812A61B5/4815A61B5/7203A61B5/726A61B5/7264A61B5/7267
    • Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states.
    • 从频谱数据确定低功率频率范围信息。 与较高功率频率范围相比,可以调整原始信号数据以增加低功率频率范围内的功率的动态范围,以确定用于获取低功率频率范围信息的有价值的调整的源数据。 低功率频率范围信息可用于分析各种原始信号数据。 例如,可以使用从睡眠期间的对象的脑电图数据内的低功率频率范围信息来确定睡眠状态。 类似地,自动全频谱脑电图信号分析可用于定制分析,包括评估睡眠质量,检测病理状况以及确定药物对睡眠状态的影响。