Design of a health monitoring system for astronauts based on artificial intelligence

Abstract

Objective. To design a health monitoring system for astronauts through the integration of the artificial intelligence (AI) and biomedical sensors. Methods. A experimental type study was developed. The population consisted of simulated data of astronauts and the sample was obtained through the intentioned selection of critical biometric parameters. The data was collected using a set of sensors EEG, EMG, and optics, integrated in a smart suit. The signals were processed in real time through a central module with technology ESP32 and the use of neural networks RNN-CNN for the analysis were proposed. Results. An AI architecture is proposed that, theoretically, it could achieve 90% accuracy in detecting potential diseases. The system presented a data transmission rate of 1.5 kbps and a latency of < 100 ms, which would allow real-time monitoring. Conclusions. The system developed has the potential to be effective for the early detection of alterations in the health of astronauts, showing its capacity for safeguarding the safety of space missions