[Fetal ECG Detection System Based on WiFi Data Transmission].

Fetal ECG monitoring is a routine clinical detection method that can reflect the changes of fetal heart in utero in real time. At present, most of the clinical fetal heart rate detection adopts the ultrasonic Doppler method, which is technically difficult and highly specialized in operation and expensive. This study introduces a fetal ECG detection system based on the maternal abdominal electrode method.

[A Ventricular Fibrillation Recognition Method Based on Random Forest and BP Neural Network].

Ventricular fibrillation is the most common pathophysiological mechanism leading to cardiac arrest. If cardiac arrest can be rescued in time, the survival rate of patients can be greatly improved. Therefore, rapid and accurate identification of ventricular fibrillation is extremely important.

[An Atrial Fibrillation Classification Method Study Based on BP Neural Network and SVM].

Atrial fibrillation is a common arrhythmia, and its diagnosis is interfered by many factors. In order to achieve applicability in diagnosis and improve the level of automatic analysis of atrial fibrillation to the level of experts, the automatic detection of atrial fibrillation is very important. This study proposes an automatic detection algorithm for atrial fibrillation based on BP neural network (back propagation network) and support vector machine (SVM).

[Portable Multi Channel EEG Signal Acquisition System].

This study introduces a portable multi-channel EEG signal acquisition system. The system is mainly composed of EEG electrode connector, signal conditioning circuit, EEG acquisition part, main control MCU and power supply part. The low-power EEG acquisition front-end ADS1299 and STM32 are used to form the signal acquisition and data communication part.

[Development of Respiratory Signal Monitoring System Based on Photoplethysmography].

Breathing is of great significance in the monitoring of patients with obstructive sleep apnea hypopnea syndrome, perioperative monitoring and intensive care. In this study, a respiratory monitoring and verification system based on optical capacitance product pulse wave (PPG) is designed, which can synchronously collect human PPG signals. Through algorithm processing, the characteristic parameters of PPG signal are calculated, and the respiratory signal and respiratory frequency can be extracted in real time.

[Current Status of Hyperbaric Oxygen Therapy and Its Application].

Hyperbaric oxygen therapy is a method of breathing pure oxygen or high-concentration oxygen in a highpressure environment to treat hypoxic diseases and related diseases. According to clinical verification, this therapy has an irreplaceable effect on certain diseases and has gradually become a comprehensive clinical treatment. One of the main methods of certain diseases is widely recognized by the medical field at home and abroad.