基于小波神经网络的睡眠呼吸暂停识别数据集

资源简介

基于小波神经网络的睡眠呼吸暂停识别数据集

【数据集背景】

本数据集源站标题为《Apnea Recognition with Wavelet Neural Networks》。源站首次发布：2018-09-19。

【数据内容】

源站原始描述：ABSTRACT Apnea is a Sleep Disorder Syndrome characterized by an interruption or reduction of air flow for at least 10 seconds. Polysomnography is a test used to apnea diagnosis. Several signals, including Electrocardiogram (ECG), Electroencephalogram (EEG) and Oxygen Saturation (SpO 2) are obtained in this diagnostic test. Since most tests for apnea are uncomfortable to the patients, there is an increase search for alternative methods to reduce cost and improve patient well-being. In this work,…

【数据结构与技术规格】

文件数 11 个，合计 405.14 KB。数据集 DOI：10.6084/m9.figshare.7101377.v1。

【主题与分类】

源站学科分类：Applied Computer Science、Applied Mathematics not elsewhere classified。主题标签：Neural Network、Sleep Disorder Syndrome、Apnea。

【适用方向】

源站学科分类标注为 Applied Computer Science、Applied Mathematics not elsewhere classified。

【获取与许可】

源站页面：https://scielo.figshare.com/articles/dataset/Apnea_Recognition_with_Wavelet_Neural_Networks/7101377

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：ZANIOL, C.; VARRIALE, M.C.; MANICA, E. (2018). Apnea Recognition with Wavelet Neural Networks. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-01，引用时请注意版本时效。