齐鲁工业大学硕士学位论文
I
ABSTRACT
Cardiovascular diseases are a serious threat to human life and health. With the
acceleration of population aging and the increase of social pressure and other factors, the
prevalence of cardiovascular diseases is increasing year by year, and the age of onset
tends to be younger. However, most cardiovascular diseases are caused by organic lesions
of organs, and it is difficult to recover completely once diagnosed. Thus, long-term
monitoring and prevention is required. Electrocardiogram (ECG) is one of the most
important methods for diagnosis of cardiovascular diseases, but currently available
portable ECG monitoring devices have few leads, and the operation is complicated, so it
is not convenient for daily use. In view of this, a wearable 12-lead ECG monitoring
system is designed to realize 24-hour continuous real-time monitoring of dynamic ECG
signals. The main research contents of this thesis are summarized as follows:
(1) According to the actual demand of wearable 12-lead ECG monitoring system, a
wearable ECG monitoring terminal with small size, low power consumption and
comfortable wearing is studied and designed. The composite fabric dry electrode is
selected to design the ECG monitoring garment to improve the comfort of long-term
wearing. The hardware circuit is designed with low-power controller TM4C123GH6PM,
highly integrated 24-bit analog front-end chip ADS1298, motion sensor MPU6050 and
other components to realize real-time acquisition of ECG signal and motion status signal.
The SD card is used for data storage and wireless data transmission is performed with the
client through low-power Bluetooth. The power management and voltage regulator
circuit are designed to improve the power stability and safety of the device.
(2) The embedded software and ECG monitoring client are designed based on the
wearable ECG monitoring terminal. The embedded software contains drivers for
acquisition of ECG signal and motion state signal and other module drivers. And the data
format is customized to ensure the reliability of wireless transmission of the data. The
ECG monitoring client enables real-time dynamic rendering of ECG waveform,
calculation and display of heart rate, and alert of lead abnormality, etc. The collected data
can be saved to the local database for management after logging into the client with an
account, and meanwhile it can be uploaded to the cloud platform for data cloud storage
and establishment of personal health records.
(3) Since the wearable ECG monitoring device used in the motion scenarios is prone