Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of Sleep
High-quality sleep is essential for both physiological and cognitive functions. However, periodic leg movements of sleep (PLMS), an involuntary phenomenon during sleep, affects millions of people worldwide, contributing to sleep fragmentation and functional impairments. The accurate monitoring of PL...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Biosensors |
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| Online Access: | https://www.mdpi.com/2079-6374/14/11/532 |
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| author | Zongyi Jiang Yunzhong Wang Damian Tohl Liming Fang Youhong Tang |
| author_facet | Zongyi Jiang Yunzhong Wang Damian Tohl Liming Fang Youhong Tang |
| author_sort | Zongyi Jiang |
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| description | High-quality sleep is essential for both physiological and cognitive functions. However, periodic leg movements of sleep (PLMS), an involuntary phenomenon during sleep, affects millions of people worldwide, contributing to sleep fragmentation and functional impairments. The accurate monitoring of PLMS is important for identifying and addressing these issues. Traditional methods, such as polysomnography (PSG), which monitor the bare tibialis muscle movements in clinical environments, may not adequately reflect the natural sleep patterns at home. They are costly and unsuitable for long-term studies. In recent years, there has been growing interest in using flexible sensors for sleep monitoring. Previous studies have applied triboelectric nanogenerators (TENGs) as flexible sensors to detect muscle movements during sleep. However, distinguishing true PLMS from false signals caused by external factors, such as blankets, remains a challenge. This study proposes a method using three TENG sensors placed on the dorsum, ankle, and tibialis, respectively, along with signal processing techniques to enhance the accuracy of PLMS detection. This study provides a cost-effective, comfortable method for PLMS monitoring, with the potential for widespread use in home-based sleep studies and long-term care in the future. |
| format | Article |
| id | doaj-art-7d48bfebbf354d91a7d031effe8df325 |
| institution | Kabale University |
| issn | 2079-6374 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj-art-7d48bfebbf354d91a7d031effe8df3252024-11-26T17:54:35ZengMDPI AGBiosensors2079-63742024-11-01141153210.3390/bios14110532Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of SleepZongyi Jiang0Yunzhong Wang1Damian Tohl2Liming Fang3Youhong Tang4Medical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide, SA 5042, AustraliaMedical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide, SA 5042, AustraliaMedical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide, SA 5042, AustraliaNational Engineering Research Centre for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou Higher Education Mega Centre, Panyu District, Guangzhou 510006, ChinaMedical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide, SA 5042, AustraliaHigh-quality sleep is essential for both physiological and cognitive functions. However, periodic leg movements of sleep (PLMS), an involuntary phenomenon during sleep, affects millions of people worldwide, contributing to sleep fragmentation and functional impairments. The accurate monitoring of PLMS is important for identifying and addressing these issues. Traditional methods, such as polysomnography (PSG), which monitor the bare tibialis muscle movements in clinical environments, may not adequately reflect the natural sleep patterns at home. They are costly and unsuitable for long-term studies. In recent years, there has been growing interest in using flexible sensors for sleep monitoring. Previous studies have applied triboelectric nanogenerators (TENGs) as flexible sensors to detect muscle movements during sleep. However, distinguishing true PLMS from false signals caused by external factors, such as blankets, remains a challenge. This study proposes a method using three TENG sensors placed on the dorsum, ankle, and tibialis, respectively, along with signal processing techniques to enhance the accuracy of PLMS detection. This study provides a cost-effective, comfortable method for PLMS monitoring, with the potential for widespread use in home-based sleep studies and long-term care in the future.https://www.mdpi.com/2079-6374/14/11/532periodic leg movements of sleeptriboelectric nanogeneratorbiosensorsmulti-sensinghome-based sleep monitoring |
| spellingShingle | Zongyi Jiang Yunzhong Wang Damian Tohl Liming Fang Youhong Tang Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of Sleep Biosensors periodic leg movements of sleep triboelectric nanogenerator biosensors multi-sensing home-based sleep monitoring |
| title | Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of Sleep |
| title_full | Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of Sleep |
| title_fullStr | Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of Sleep |
| title_full_unstemmed | Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of Sleep |
| title_short | Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of Sleep |
| title_sort | utilizing multiple triboelectric nanogenerator sensors and signal processing technology for monitoring periodic leg movements of sleep |
| topic | periodic leg movements of sleep triboelectric nanogenerator biosensors multi-sensing home-based sleep monitoring |
| url | https://www.mdpi.com/2079-6374/14/11/532 |
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