An Autonomous Sleep-Stage Detection Technique in Disruptive Technology Environment
Baskaran Lizzie Radhakrishnan,
Kirubakaran Ezra,
Immanuel Johnraja Jebadurai
et al.
Abstract:Autonomous sleep tracking at home has become inevitable in today’s fast-paced world. A crucial aspect of addressing sleep-related issues involves accurately classifying sleep stages. This paper introduces a novel approach PSO–XGBoost, combining particle swarm optimisation (PSO) with extreme gradient boosting (XGBoost) to enhance the XGBoost model’s performance. Our model achieves improved overall accuracy and faster convergence by leveraging PSO to fine-tune hyperparameters. Our proposed model utilises feature… Show more
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