Application of Artificial Intelligence Algorithms in Wearable Device Signal Processing Systems

Wearable devices refer to electronic devices that can be worn on the body, aiming to provide users with more information and internet services. This study proposed a wearable device signal processing system based on artificial intelligence algorithms. By investigating the basic principles and technical routes of wearable device signal processing systems, suitable artificial intelligence algorithms were selected and improved. A prototype of wearable device signal processing system based on artificial intelligence algorithms was developed, tested and validated. The experimental results showed that the accuracy of the artificial intelligence algorithm in predicting health status reached 95%, with a time consumption of 2.3 seconds. The wearable device signal processing system based on artificial intelligence algorithms could not only effectively process the raw signals collected by wearable devices, but also achieve automated analysis and prediction, which had good application prospects.