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Data processing method and apparatus

A data processing and data technology, applied in the field of data processing, can solve problems such as insufficient analysis accuracy, long time spent, and inability to diagnose the direction of diseases in real time, so as to achieve the effects of ensuring real-time performance, improving accuracy, and increasing accuracy

Inactive Publication Date: 2018-04-06
CHINA MOBILE COMM LTD RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, current polysomnography devices can only analyze one or several types of characteristic data, and the analysis is generally based on the accuracy of the default acquisition signal, so the analysis accuracy is not enough
For the special polysomnography used in the hospital, the monitoring data will be interpreted by professional technicians in the form of sleep chart, which takes a long time and cannot guarantee real-time performance, that is, the direction of the disease cannot be diagnosed in real time

Method used

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Experimental program
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Embodiment 1

[0113] The method for data processing in the embodiment of the present invention is specifically a method for monitoring data quality monitoring, such as figure 1 shown, including the following steps:

[0114] Step 101: Obtain the first lead monitoring data from the lead sleep device in real time;

[0115] Here, the monitoring data of the first lead includes at least one type of lead data.

[0116] In practical application, such as figure 2 As shown, the monitoring data of the first lead generally includes eight categories: EEG, electrooculogram, mandibular electromyography, electrocardiogram or heart rate, respiratory airflow, leg movement, body position and SpO2. Among them, in figure 2 Among them, the signals from top to bottom are divided into oculogram (E1, E2), EEG (F3, F4, C3, C4, O1, O2), mandibular myoelectricity (Chin1, Chin2), electrocardiogram (ECG), leg Movement (Lleg, RLeg), respiratory airflow (Snore snoring, Nasal nasal pressure, Airflow nasal airflow, Th...

Embodiment 2

[0171] The data processing method of this embodiment is specifically a method for predicting the direction of disease diagnosis by using lead monitoring data, such as image 3 shown, including the following steps:

[0172] Step 301: Using the lead monitoring data output from the lead sleep device, extract at least two-dimensional feature values ​​for disease prediction; and perform normalization processing;

[0173] Among them, in practical applications, when predicting the direction of disease diagnosis, in order to ensure the accuracy of the prediction, a relatively comprehensive feature value can be used for analysis, so it generally includes: SpO2, heart rate, leg movement, apnea and hypopnea event duration. several eigenvalues.

[0174] Based on this, the specific implementation of this step may include:

[0175] Using the lead monitoring data to count SpO2 parameters and heart rate parameters;

[0176] Using the lead monitoring data, determine the monitored person's l...

Embodiment 3

[0192] On the basis of Embodiments 1 and 2, this embodiment describes in detail the process of monitoring the quality of the collected signals and the process of predicting the direction of disease diagnosis.

[0193] Such as Figure 4 As shown, taking the special polysomnography sleep device used in the hospital as the processing object, by adding the signal quality monitoring module and the lead metadata preliminary screening module to the polysomnography acquisition equipment, the sleep signal quality monitoring and metadata extraction, disease Pre-diagnosis.

[0194] Among them, for the quality monitoring process of collected signals, for the special polysomnography sleep system used in hospitals, a signal quality monitoring module is added to the polysomnography instrument to classify the collected signals, and through single-feature and multi-feature correlation analysis to ensure monitoring The signal quality of the data.

[0195] Specifically, as Figure 5 As shown,...

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Abstract

The invention discloses a data processing method. The method comprises: acquiring first lead monitoring data including at least one kind of lead data from a lead sleeping apparatus in real time; for each kind of lead data among the first lead monitoring data, determining invalid data in the corresponding lead data by using a clustering algorithm to obtain second lead detection data; and on the basis of an association relationship of all kinds of lead data, determining invalid data with conflicts among all kinds of lead data in the second lead monitoring data so as to obtain third lead monitoring data; and outputting the third lead monitoring data as valid data. Meanwhile, the invention also discloses a data processing apparatus.

Description

technical field [0001] The invention relates to data processing technology, in particular to a data processing method and device. Background technique [0002] Polysomnography technology is an important new technology in sleep medicine today. It is also known as the "gold standard" for diagnosing sleep disorders in the world's sleep research community. play an increasingly important role. [0003] The polysomnography device can objectively evaluate the patient's sleep quality, sleep time, sleep efficiency and stage monitoring by monitoring the EEG, oculoelectricity and electromyography of the whole night's sleep, eliminate the misunderstanding of sleep cognition, and enable patients to correctly understand themselves Sleep problems, have an objective evaluation and understanding of your sleep quality. [0004] However, current polysomnography devices can only analyze one or several types of characteristic data, and the analysis is generally based on the accuracy of the def...

Claims

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Application Information

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IPC IPC(8): G16H50/70G06K9/62
CPCG06F18/24133
Inventor 方若洁常耀斌吴娜徐青青许利群
Owner CHINA MOBILE COMM LTD RES INST
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