Research and application of astronauts′ physiological telemetry data processing algorithm

Abstract

In the manned space flight mission, the ground commanders and medical experts shall timely grasp the physiological conditions of astronauts in the cabin to ensure the safety of them. The heart rate and respiratory rate of astronauts are important physiological indexes to evaluate the health status of astronauts. How to calculate the heart rate and respiratory rate of astronauts quickly and accurately is one of the difficult problems faced by engineering tasks. Comprehensively considering the computing power under the condition of domestic autonomous controllable software and hardware, this paper presents a heart rate calculation R-wave detection algorithm based on self-learning threshold, and the zero-detection algorithm of respiratory rate calculation, and also designs a set of visual display software of heart rate and respiratory rate. It improves the real-time and accuracy of astronauts′ physiological data processing, and provides intuitive and reliable decision-making basis for the commanders and experts. The calculation and analysis of data shows that the algorithm has high accuracy and low computational requirements. It can meet the needs of medical support and medical supervision for astronauts in the waiting and ascending stages.

Keywords

• manned spaceflight
• physiological telemetry
• heart rate
• respiratory rate