Fetus fetal movement monitoring system and monitoring method for ultra-low power consumption automatic sleep and wake-up

Abstract

The invention provides a fetus fetal movement monitoring system and monitoring method for ultra-low power consumption automatic sleep and wake-up. The fetus fetal movement monitoring system includes asensor array (2) composed of at least two sensors (1), and a system level integrated circuit chip (9), and is characterized in that an automatic sleep wake-up analog switch (6) on the system level integrated circuit chip (9) is controlled to enter a wake-up or sleep state respectively by an automatic wake-up logic circuit (7) and an automatic sleep logic circuit (8), data read by an analog-to-digital converter (5) are transmitted to the automatic sleep logic circuit (8), and a digital input/output connection interface (11) controls and switches each sensor (1) by a data instruction of the automatic wake-up logic circuit (7). According to the fetus fetal movement monitoring system and monitoring method for the ultra-low power consumption automatic sleep and wake-up, the complexity of wiring is reduced by inserting a control circuit at the sensors, by adopting an automatic sleep wake-up analog switch, operation of the analog-to-digital converter is controlled, overall power consumptionof the system is reduced, and more effective and reliable sensor array data acquisition is provided.

Description

technical field [0001] The invention relates to a distributed fetal movement data monitoring system through a sensor array, especially a low-power data monitoring system that controls an analog-to-digital converter through an analog switch module of a system-level integrated circuit chip, and belongs to information science technology and medical treatment. health field. Background technique [0002] With the development of Internet of Things technology, distributed sensors and system-level integrated circuit chip technology have been widely used. As an important branch of the Internet of Things, wearable medical devices have developed rapidly in recent years, extending many applications in the national health and medical fields, such as EEG detection, ECG monitoring, and fetal detection. As far as fetal monitoring is concerned, there are still two problems that need to be solved urgently: (1) The sensors need to be distributed throughout the pregnant woman’s abdomen, and mu...

AI Technical Summary

Problems solved by technology

As far as fetal monitoring is concerned, there are still two problems that need to be solved urgently: (1) The sensors need to be distributed throughout the pregnant woman’s abdomen, and multiple sensing unit arrays need to be wired, which makes the wiring of the entire system very messy Disorder, which greatly affects the reliability and robustness of the system; (2) The amount of data monitoring is large, especially for the collection of signals such as fetal movement that require 24-hour continuous monitoring and have a very low frequency of occurrence

Fetal movement is only about 4 times an hour, and only a few tens of times in 24 hours. Continuous detection of fetal movement signals will cause a lot of unnecessary power consumption and data collection, processing and storage loads for the entire system, resulting in many unnecessary processing. data, while seriously shortening the service life of wearable devices, it also increases the complexity and difficulty of data post-processing

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