Fetal electrocardiogram monitoring system based on Android smartphone

Abstract

The invention provides a fetal electrocardiogram monitoring system based on an Android smartphone so as to achieve home monitoring of the fetal electrocardiogram. The system is composed of a pregnantwoman abdomen three-lead electrocardiogram collector, a fetal electrocardiogram real-time algorithm and Android smartphone software. The circuit of the pregnant woman abdomen three-lead electrocardiogram collector is mainly composed of a low-power-consumption Bluetooth processor Cypress CY8C4247 and a three-lead analog front end ADS1293, and pregnant woman abdomen three-lead electrocardiogram signals are collected by the 24-bit ADS1293, transmitted to the processor CY8C4247 through SPI communication to be processed and then wirelessly sent to the Android smartphone through Bluetooth. The functions of the Android smartphone software include BLE service acquisition, communication connection, Service provision, broadcasting, thread establishment and drawing canvas design, heart rate calculation, electrocardiogram abnormity warning and the like. The fetal electrocardiogram detection algorithm is a fast ICA algorithm with optimized parameters.

Description

technical field [0001] The invention belongs to the field of family health monitoring and relates to a fetal electrocardiographic monitoring system. Background technique [0002] The fetus may be temporarily hypoxic due to umbilical cord compression or other reasons during the perinatal period, which can cause asphyxia, mental retardation, dementia and even death. According to statistics, most of the mentally handicapped children in our country are caused by dysplasia or premature birth due to the distressed state of hypoxia during the fetal growth process. Therefore, perinatal monitoring of pregnant women and fetuses is very important. Through the analysis of fetal ECG signals, many fetal pathological conditions during pregnancy or childbirth can be detected early, and measures can be taken early, so as to prevent neonatal diseases and achieve prenatal and postnatal care. [0003] At present, scholars at home and abroad have proposed many fetal ECG extraction methods. The...

AI Technical Summary

Problems solved by technology

[0003] At present, scholars at home and abroad have proposed many fetal ECG extraction methods. The adaptive filtering technology is simple to calculate, but it cannot adapt to the strong non-stationary fetal ECG.

The algorithm of matched filter technology is simple, but it is easy to eliminate fetal ECG, resulting in low recognition rate of fetal ECG

Wavelet decomposition technology needs to select parameters such as wavelet basis, which requires a large amount of calculation, different data, and different parameters, so it is difficult to extract in real time

The singular value decomposition method becomes larger and larger with the growth of time, which requires a lot of calculation and storage space, and there are certain difficulties in practical application.

The support vector machine method has problems such as weak generalization ability, local extremum, and structural design.

Blind signal separation method and independent component analysis method have problems such as difficult modeling and implementation

[0004] Although there are various fetal heart rate monitors, most of them are based on ultrasonic Doppler detection technology, the measurement is inconvenient, and the equipment is expensive

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