一种心电动力学数据量化分析方法

    公开(公告)号:WO2019015017A1

    公开(公告)日:2019-01-24

    申请号:PCT/CN2017/098901

    申请日:2017-08-24

    CPC classification number: A61B5/04012 A61B5/0402 A61B5/7235 A61B5/7257

    Abstract: 一种心电动力学数据量化分析方法,属于心电检测技术领域;方法包括:步骤S1,采集心电向量图得到心电数据;步骤S2,根据采集到的心电数据获取对应的心电动力学数据;步骤S3,提取心电动力学数据的空间离散量化特征,以及提取心电动力学数据的时间离散量化特征;步骤S4,根据空间离散量化特征和时间离散量化特征形成心电动力学数据的量化信息,并根据量化信息对心电向量图进行量化分析。该方法的有益效果是:能够对心电动力学数据进行定量描述,提供有效的量化指标,为医生采用心电动力学数据进行病情诊断提供了便利。

    SYSTEM AND METHOD FOR ONSET/OFFSET CAPTURE
    6.
    发明申请
    SYSTEM AND METHOD FOR ONSET/OFFSET CAPTURE 审中-公开
    用于开始/偏移捕捉的系统和方法

    公开(公告)号:WO2018085337A1

    公开(公告)日:2018-05-11

    申请号:PCT/US2017/059458

    申请日:2017-11-01

    Abstract: A medical device is utilized to monitor physiological parameters of a patient and capture segments of the monitored physiological parameters. The medical device includes circuitry configured to monitor one or more physiological parameters associated with the patient and an analysis module that includes a buffer and a processor. The buffer stores monitored physiological parameters and the processor analyzes the monitored physiological parameters and triggers capture of segments from the buffer in response to a triggering criteria being satisfied. The analysis module selects a pre-trigger duration based at least in part on the triggering criteria.

    Abstract translation: 利用医疗设备来监测患者的生理参数并且捕获所监测的生理参数的片段。 医疗设备包括被配置为监测与患者相关联的一个或多个生理参数的电路以及包括缓冲器和处理器的分析模块。 缓冲器存储所监测的生理参数,并且处理器分析所监测的生理参数并且响应于触发标准被满足而触发从缓冲器捕获分段。 分析模块至少部分基于触发标准来选择预触发持续时间。

    RELIABLE SEIZURE DETECTION WITH A PARALLELIZABLE, MULTI-TRAJECTORY ESTIMATE OF LYAPUNOV EXPONENTS
    8.
    发明申请
    RELIABLE SEIZURE DETECTION WITH A PARALLELIZABLE, MULTI-TRAJECTORY ESTIMATE OF LYAPUNOV EXPONENTS 审中-公开
    可靠性检测与LYAPUNOV EXPONENTS的可平行多轨迹估计

    公开(公告)号:WO2018035299A1

    公开(公告)日:2018-02-22

    申请号:PCT/US2017/047303

    申请日:2017-08-17

    Abstract: Systems and methods for tracking EEG data and providing enhanced seizure detection and prediction are disclosed. The systems and methods use input sensors for receiving and collecting data from a plurality of EEG channels in association with a subject and processing said data to calculate and average Lyapunov exponents for a composite EEG data set. The systems and methods convert the average Lyapunov exponents into graphical representations that are displayed against a time axis. The graphical output adjusts in real-time according to the input data obtained from EEG channels. The systems and methods utilize pattern recognition to output alarms based upon input data and recommend diagnoses related to seizures.

    Abstract translation: 公开了用于跟踪EEG数据并提供增强的癫痫发作检测和预测的系统和方法。 该系统和方法使用输入传感器来接收和收集来自与对象相关的多个EEG通道的数据,并处理所述数据以计算和平均复合EEG数据集的Lyapunov指数。 该系统和方法将平均Lyapunov指数转换成相对于时间轴显示的图形表示。 图形输出根据从EEG通道获得的输入数据进行实时调整。 该系统和方法利用模式识别来输出基于输入数据的警报并推荐与癫痫相关的诊断。

    METHODS OF COGNITIVE FITNESS DETECTION AND TRAINING AND SYSTEMS FOR PRACTICING THE SAME
    9.
    发明申请
    METHODS OF COGNITIVE FITNESS DETECTION AND TRAINING AND SYSTEMS FOR PRACTICING THE SAME 审中-公开
    认知健身检测和训练方法以及用于实施该方法的系统

    公开(公告)号:WO2018026710A1

    公开(公告)日:2018-02-08

    申请号:PCT/US2017/044670

    申请日:2017-07-31

    Abstract: Provided are methods of assessing and/or training cognitive fitness. Aspects of the instant methods generally relate to identifying and observing neural activity that underlies an event occurring in response to the stimulus or sequence of stimuli of a cognitive task performed by a subject. As such, the instant methods generally include presenting a cognitive task to a subject that includes a stimulus or sequence of stimuli, and monitoring the neural activity of the subject during performance of the cognitive task. Monitoring of such neural activity may be used, at least in part, to determine a neural performance level of a subject which may, in turn, be used in various ways including e.g., as an assessment of cognitive fitness, to tailor a subsequently presented cognitive task to train the cognitive fitness of the subject, etc. Systems and computer readable media for practicing the methods of the present disclosure are also provided.

    Abstract translation: 提供评估和/或训练认知适应性的方法。 本方法的各方面通常涉及识别和观察作为响应于由受试者执行的认知任务的刺激或刺激序列而发生的事件的基础的神经活动。 因此,本方法通常包括向包括刺激或刺激序列的对象呈现认知任务,并且在认知任务的执行期间监视对象的神经活动。 可以至少部分地使用这种神经活动的监测来确定受试者的神经表现水平,所述神经表现水平又可以各种方式使用,包括例如作为认知适应性的评估,以调整随后呈现的认知 训练主体的认知适应性的任务等。还提供了用于实践本公开的方法的系统和计算机可读介质。

    SYSTEM AND METHOD FOR RAPID ECG ACQUISITION
    10.
    发明申请
    SYSTEM AND METHOD FOR RAPID ECG ACQUISITION 审中-公开
    用于快速ECG采集的系统和方法

    公开(公告)号:WO2017222888A1

    公开(公告)日:2017-12-28

    申请号:PCT/US2017/037423

    申请日:2017-06-14

    Abstract: In one embodiment, an ECG monitoring system includes two or more electrodes configured to record cardiac potentials from a patient, at least one processor, and a rapid acquisition module executable on the at least one processor to: determine that an impedance of each electrode is less than an impedance threshold; record initial ECG lead data based on the cardiac potentials; determine that a noise level in each ECG lead of the initial ECG data is less than a noise threshold; start a recording timer once the noise level is below the noise threshold; record an ECG dataset while the noise level is maintained below the noise threshold until the recording timer reaches a predetermined test duration; store the ECG dataset and provide a completion alert.

    Abstract translation: 在一个实施例中,ECG监测系统包括配置为记录来自患者的心脏电位的两个或更多个电极,至少一个处理器以及可在所述至少一个处理器上执行的快速获取模块,以:确定 每个电极的阻抗小于阻抗阈值; 记录基于心电位的初始ECG导联数据; 确定初始ECG数据的每个ECG导联中的噪声水平小于噪声阈值; 一旦噪音水平低于噪音阈值,开始录音计时器; 记录ECG数据集,同时将噪声水平保持在噪声阈值以下直到记录定时器达到预定测试持续时间; 存储ECG数据集并提供完成警报。

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