AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement
Insomnia is a common public health problem and an open biomedical research topic. Insomnia results in various health problems, including memory decline, decreases concentration and weakens problem-solving ability. The insufficient sleep also leads to skin ageing, heart disease, high blood pressure,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9783166/ |
| _version_ | 1797805145692569600 |
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| author | Jing Huang Lifeng Ren Lifang Feng Fan Yang Lingfan Yang Ke Yan |
| author_facet | Jing Huang Lifeng Ren Lifang Feng Fan Yang Lingfan Yang Ke Yan |
| author_sort | Jing Huang |
| collection | DOAJ |
| description | Insomnia is a common public health problem and an open biomedical research topic. Insomnia results in various health problems, including memory decline, decreases concentration and weakens problem-solving ability. The insufficient sleep also leads to skin ageing, heart disease, high blood pressure, arrhythmia and stroke. While it remains as a global health concern, sleep quality improvement using modern technologies, such as machine learning, classification technologies, virtual reality (VR), becomes an open and hot research problem. These modern technologies offer new curing solutions under certain conditions. In this paper, we present a sleeping-aid system with a single-channel electroencephalogram (EEG) sleep stage classification algorithm to improve the sleep quality. The sleeping-aid system promotes machine learning integrated VR and multimedia technology for sleep improvement. Ninety participants were invited to test on three different systems with 3D VR, 2D video, and music only. An adequate stimulus of audio-vision can be a complement of the drug treatment. The experimental results showed that the proposed method demonstrated superior performance over existing methods. |
| first_indexed | 2024-03-13T05:46:48Z |
| format | Article |
| id | doaj.art-3b392cdec24f4e2eaf8053e87f97f1ec |
| institution | Directory Open Access Journal |
| issn | 1558-0210 |
| language | English |
| last_indexed | 2024-03-13T05:46:48Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj.art-3b392cdec24f4e2eaf8053e87f97f1ec2023-06-13T20:08:10ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1558-02102022-01-01301494150310.1109/TNSRE.2022.31784769783166AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality EnhancementJing Huang0https://orcid.org/0000-0001-8704-154XLifeng Ren1https://orcid.org/0000-0002-9250-9749Lifang Feng2Fan Yang3https://orcid.org/0000-0002-5273-1062Lingfan Yang4Ke Yan5https://orcid.org/0000-0001-5942-763XSchool of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, ChinaSchool of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, ChinaCollege of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, ChinaCollege of Information Engineering, China Jiliang University, Hangzhou, ChinaZhejiang Provincial People’s Hospital, Xiacheng, Hangzhou, Zhejiang, ChinaDepartment of the Built Environment, National University of Singapore, Singapore, SingaporeInsomnia is a common public health problem and an open biomedical research topic. Insomnia results in various health problems, including memory decline, decreases concentration and weakens problem-solving ability. The insufficient sleep also leads to skin ageing, heart disease, high blood pressure, arrhythmia and stroke. While it remains as a global health concern, sleep quality improvement using modern technologies, such as machine learning, classification technologies, virtual reality (VR), becomes an open and hot research problem. These modern technologies offer new curing solutions under certain conditions. In this paper, we present a sleeping-aid system with a single-channel electroencephalogram (EEG) sleep stage classification algorithm to improve the sleep quality. The sleeping-aid system promotes machine learning integrated VR and multimedia technology for sleep improvement. Ninety participants were invited to test on three different systems with 3D VR, 2D video, and music only. An adequate stimulus of audio-vision can be a complement of the drug treatment. The experimental results showed that the proposed method demonstrated superior performance over existing methods.https://ieeexplore.ieee.org/document/9783166/Sleep promotionhidden Markov modelclassification algorithmvirtual realityEEGsleep quality |
| spellingShingle | Jing Huang Lifeng Ren Lifang Feng Fan Yang Lingfan Yang Ke Yan AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement IEEE Transactions on Neural Systems and Rehabilitation Engineering Sleep promotion hidden Markov model classification algorithm virtual reality EEG sleep quality |
| title | AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement |
| title_full | AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement |
| title_fullStr | AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement |
| title_full_unstemmed | AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement |
| title_short | AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement |
| title_sort | ai empowered virtual reality integrated systems for sleep stage classification and quality enhancement |
| topic | Sleep promotion hidden Markov model classification algorithm virtual reality EEG sleep quality |
| url | https://ieeexplore.ieee.org/document/9783166/ |
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