Wearable type dynamitic maternal fetus electrocardio-detecting device

Abstract

A wearable type dynamitic maternal fetus electrocardio-detecting device comprises an electrocardiosignal detecting module which is used for collecting the electrocardiosignal of a pregnant woman and is connected with an analog-digital converting module, a microprocessor, a data storage card which is used for storing the electrocardiosignal of the pregnant woman and storing a generated maternal fetus electrocardio-information rod according to preset storing frequency, and a wireless communication module which transmits the generated maternal fetus electrocardio-information rod to a hospital or a custody center. The analog-digital converting module, the data storage card and the wireless communication module are connected with the microprocessor. The microprocessor is used for analyzing the electrocardiosignal in real time, storing data, controlling communication, completing electrocardiosignal quality assessment, processing the maternal electrocardiosignal, processing the electrocardiosignal of a fetus and generating the maternal fetus electrocardio-information rod. According to the device, the fact that the electrocardiosignals of a pregnant woman and the fetus are monitored in a dynamic-long-distance mode and are analyzed and processed in real time can be achieved, and maternal and fetus electrocardio-long-distance monitoring can be achieved.

Description

technical field [0001] The invention relates to a device for performing non-invasive dynamic long-range ECG monitoring on the mother and the fetus, evaluating the quality of the ECG signal in real time, extracting the heart rate information of the mother and the fetus, and generating a wirelessly transmittable maternal-fetal ECG information bar, in particular a device A wearable maternal-fetal electrocardiogram mobile phone belongs to the technical field of maternal-fetal electrocardiogram detection. Background technique [0002] Since the Dutch physiologist W. Einthoven first recorded the ECG waveform from the body surface in 1885, after more than 100 years of development, ECG detection has become one of the most commonly used clinical detection methods. The ECG waveform reflects the exciting electrical activity process of the heart, which is used to reflect the basic function of the heart and its pathological changes, analyze and identify various arrhythmias, assess the de...

AI Technical Summary

Problems solved by technology

With the increasing attention paid to the health of mothers and fetuses, the traditional detection methods can no longer meet the requirements of comprehensive dynamic long-term ECG detection for mothers and fetuses. Specifically, there are four deficiencies in the following four aspects: Maternal-fetal ECG detection is mainly the detection of ECG signals in a resting state, and lacks dynamic monitoring of maternal and fetal ECG activity. Previous studies have shown that ECG signals in an active state are more likely to present potential disease information. Therefore, dynamic monitoring of maternal and fetal ECG activities is required; second, traditional maternal and fetal ECG detection is mostly a short-range detection, and the detection time generally lasts for a few minutes, lacking long-term tracking of maternal and fetal ECG activities. The appearance of ECG signal fragments carrying specific disease information is sporadic and not necessarily presented during the detection of pregnant women. Therefore, long-term monitoring of maternal and fetal ECG activities is required; third, traditional maternal fetal ECG detection focuses more on The medical interpretation and judgment of the fetal ECG signal ignores the medical interpretation and judgment of the mother's own ECG signal, and the change of the mother's own ECG activity also has very important clinical diagnostic value, so it is necessary to analyze the maternal and fetal ECG. All-round and multi-angle clinical interpretation of the signal; Fourth, the traditional computer automatic analysis method of fetal ECG detection is suitable for ECG analysis in a stable state, but not suitable for long-term acquisition of ECG signal analysis in a dynamic environment. A large number of unpredictable noises in a dynamic environment will seriously affect the judgment of maternal and fetal ECG characteristics by traditional methods. In addition, the existing computer analysis software does not pay enough attention to the quality evaluation of ECG signals. The premise and prerequisite for medical interpretation of ECG signals is also a necessary step for dynamic long-range ECG signal analysis. Therefore, it is imperative to optimize the traditional method and establish a new method suitable for dynamic long-range maternal and fetal ECG signal processing. Row

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