Xi'an Jiaotong University

Jin Li

Zhongbo Bai

Xiang Chen

Xu Zhang

Quangui Qu

Fenghu Zhou

Ke Han

Peiyuan Huang

Hua Jin

Huakui Yang

Feng Yun

Provided is an accurate, fast and long-term stable fused CRAP. The electrode includes a positioning anchor, a silicone catheter, a sensor compartment and a connecting wire. The method monitors physiological information such as blood PPG, blood oxygen saturation, temperature and impedance of blood in the right ventricular cavity, and monitors blood temperature information, which is also a slowly changing metabolic rate, to provide cross-comparison with blood oxygen saturation information, improving monitoring accuracy of blood oxygen saturation. The rapidly changing right ventricular apical impedance information is monitored to improve rapid response ability of CRAP. The LEDs driving current is dynamically adjusted by monitoring the internal temperature of the PPG sensor and the impedance change of the attached biological tissue, which indirectly reflects thickness change of the attached biological tissue, thereby delaying the failure time of the PPG sensor.

Multi-sensor composite right ventricular electrode and fused cardiac rate adaptive pacing method

The present application discloses an early warning method, device and system of sudden death. The method includes: 1. extracting 6 indicators of 4 types of physiological information 2. performing abnormality detection on the physiological information and calculating an early warning level, proceeding to stepwhen a result of the abnormality detection indicates abnormal, and continuing the abnormality detection when the result of the abnormality detection indicates normal; and 3. producing sound, light and vibration alarms, in which an alarm device is driven to produce sound, light and vibration and provide a corresponding early warning level. A higher early warning level indicates a higher risk of sudden death.

Early warning method, device and system of sudden death

Growing community of inventors

Xi'an, China

Jin Li