一种新的睡眠阶段分类算法

2019 13th International Conference on Sensing Technology (ICST) Pub Date : 2019-12-01 DOI:10.1109/ICST46873.2019.9047717

Pham Son Lam, Nguyen Dinh Son, Hoang Phuong Chi, Nguyen Thi Phuoc Van, Duc Minh Nguyen

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引用次数: 1

摘要

本文提出了一种新的多阶段睡眠分类算法。在该算法中，提出了一种新的时域特征向量。使用各种机器学习模型将睡眠问题分为四类。本研究的结果优于以往的研究，在实时应用中具有很大的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Novel Algorithm to Classify Sleep Stages

This paper presents a new algorithm to classify the multiple stages of sleeping. In this algorithm, the novel feature vector in the time domain is proposed. Various machine learning models were utilized to classify sleeping problems in four categories. The results of this research outperform previous studies and shows high potential in real-time application.

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来源期刊

2019 13th International Conference on Sensing Technology (ICST)

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