Wearable dynamic maternal fetal ECG monitor

Abstract

The wearable dynamic mother fetal ECG monitor comprises an ECG signal detection module for collecting an ECG signal of a pregnant woman and connected with an analog to digital conversion module, a microprocessor, a data storage card for storing the pregnant woman ECG signal and storing the generated maternal fetal electrocardiogram information bar according to the preset storage frequency, and a wireless communication module for wirelessly transmitting the generated maternal fetal electrocardiogram information bar to a hospital or a monitoring center; the analog to digital conversion module, the data storage card and the wireless communication module are connected to the microprocessor; the microprocessor is used for real-time analysis of ECG signals, data storage and communication control, completing ECG signal quality assessment, maternal ECG signal processing, fetal ECG signal processing and generation of the maternal fetal ECG information bar. The wearable dynamic mother fetal ECGmonitor can realize dynamic, long-range monitoring and real-time analysis and processing of maternal and fetal ECG signals, and can remotely monitor the maternal and fetal ECG.

Description

technical field [0001] The invention relates to a device for non-invasive dynamic long-term ECG monitoring of mother and fetus, real-time evaluation of ECG signal quality and extraction of maternal and fetal heart rate information, and simultaneously generating maternal and fetal ECG information sticks that can be transmitted wirelessly. 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 electrical activity process of the heart's excitement, which reflects the basic functions of the heart and its pathological changes, analyzes and differentiates various arrhythmias, evaluates the degree of myocardial damage a...

AI Technical Summary

Problems solved by technology

As society pays more and more attention to the health of mothers and fetuses, traditional detection methods can no longer meet the requirements of comprehensive dynamic long-term ECG detection for mothers and fetuses. Specifically, it has the following four deficiencies: First, the traditional maternal Fetal ECG detection is mainly due to the lack of dynamic monitoring of maternal and fetal ECG activity in the resting state, while existing studies have shown that ECG signals in the active state are more likely to present potential disease information, so it is necessary to Dynamic monitoring of maternal and fetal ECG activities; second, traditional maternal and fetal ECG detection is mostly short-range detection, and the detection time generally lasts for a few minutes, lacking long-term tracking of maternal and fetal ECG activities. The occurrence of ECG signal fragments of disease information is sporadic and does not necessarily appear during the detection of pregnant women, so long-term monitoring of maternal and fetal ECG activities is required; third, traditional maternal fetal ECG detection focuses on fetal ECG signals Make medical interpretation and judgment, ignoring 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 comprehensively analyze the maternal and fetal ECG signals. Multi-angle clinical interpretation; Fourth, the traditional computer automatic analysis method of fetal ECG detection is suitable for ECG analysis in a steady state; it is not suitable for long-term acquisition of ECG signal analysis in a dynamic environment. The appearance of expected noise 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, and the quality evaluation of ECG signals is a medical treatment of ECG signals. The premise and prerequisite for interpretation 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.

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