Quick blind source separating fetal electrocardioscanner and detection method

Abstract

The invention relates to a quick blind source separating fetal electrocardioscanner and a detection method. The electrocardioscanner comprises a dual channel acquisition and analog-to-digital conversion module, an FPGA provided with an internal storage, a DSP and an ARM for separating a blind source, and an output device, wherein the dual channel acquisition and analog-to-digital conversion module is electrically connected with a common electrocardiogram lead cable and the FPGA through two data channels; the FPGA is electrically connected with the DSP through two data channels; the DSP is also sequentially electrically connected with the ARM and the output device ; and the DSP and the ARM are all externally connected with a program storage and a data storage. The electrocardioscanner adopts a high-speed acquisition and processing structure, detects fetal electrocardiosignals in aliasing electrocardiosignals in real time, adopts a blind source separation method to solve the problem that time domains and frequency domains of mother electrocardiosignals and the fetal electrocardiosignals are mutually overlapped and difficult to separate, and extracts the fetal electrocardiosignals efficiently and accurately for diagnosis.

Description

technical field [0001] The invention belongs to the field of medical equipment, and in particular relates to a rapid blind source separation fetal electrocardiogram detector and a detection method for fetal electrocardiogram monitoring. Background technique [0002] With the society's increasing demands on the health and safety of mothers and infants, the physiological and pathological research on fetal development has become an important topic. Fetal monitoring is an important method to evaluate the intrauterine development and safety status of the fetus by means of physiological physics and biochemistry. Fetal Electrocardiogram (FECG, Fetal Electrocardiogram) can provide information about fetal health, so as to determine fetal diseases. Therefore, fetal electrocardiogram detection has very important significance in clinical application of fetal monitoring. [0003] At present, fetal monitoring, which is widely used in clinical practice, refers to electronic fetal heart ra...

AI Technical Summary

Problems solved by technology

The ICA method or FastICA method of blind source separation is the main application method at present, but this type of blind source separation method uses a large amount of statistical information, so the calculation is complicated, which affects the real-time processing; therefore, only by reducing the sampling accuracy and The sampling rate is used to complete the operation of the algorithm, so many subtle features are easily overlooked in real-time observation

Images