Sleep State Monitoring System Based on Flexible Pressure Sensor Arrays for Evaluating Sleep Quality

Evaluating sleep quality through monitoring sleep state is crucial for improving the general public’s sleep health. This article proposes a sleep state monitoring system based on flexible pressure sensor arrays, hardware circuits, and intelligent algorithms, which can effectively evaluate sleep quality by monitoring sleeping posture and breathing state. A flexible capacitive pressure sensor array designed specifically for monitoring sleeping posture, which is based on a dust-free cloth substrate and a sponge dielectric layer with multiple layers of microstructure, manufactured using electrospinning technology. In addition, we have developed a three-layer core-shell linear fiber structure flexible capacitive sensor for monitoring breathing state based on wet spinning technology. These soft and biocompatible wearable sensor arrays are connected to signal acquisition circuits, which can wirelessly transmit data on sleeping posture and breathing state to the PC in real time for efficient monitoring. We also constructed a model based on multiclassification support vector machine (SVM) to recognize four sleeping postures, including supine state, prone state, left lying, and right lying, with an accuracy rate of up to 96%. Finally, a comprehensive analysis of sleeping posture and breathing state can provide a comprehensive evaluation of sleep quality and targeted sleep improvement suggestions based on monitoring results. The designed sleep state monitoring system can not only provide long-term sleep data for medical professionals but also provide important information for the diagnosis of patients with sleep disorders.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-09-09
DOI
https://doi.org/10.1109/jsen.2024.3452940
Citations
11
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
5.58

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sleep State Monitoring System Based on Flexible Pressure Sensor Arrays for Evaluating Sleep Quality

Liangsong Huang, Si Wu, Shuo Wang, Peng Zhang et al.
11 citations
IEEE Sensors Journal
Sleep and Work-Related Fatigue
5.58
article

Sleep State Monitoring System Based on Flexible Pressure Sensor Arrays for Evaluating Sleep Quality

Liangsong Huang, Si Wu, Shuo Wang, Peng Zhang, Yuxia Li, Kun Zhang, Tengteng Su
article en
11 citations

Abstract

Evaluating sleep quality through monitoring sleep state is crucial for improving the general public’s sleep health. This article proposes a sleep state monitoring system based on flexible pressure sensor arrays, hardware circuits, and intelligent algorithms, which can effectively evaluate sleep quality by monitoring sleeping posture and breathing state. A flexible capacitive pressure sensor array designed specifically for monitoring sleeping posture, which is based on a dust-free cloth substrate and a sponge dielectric layer with multiple layers of microstructure, manufactured using electrospinning technology. In addition, we have developed a three-layer core-shell linear fiber structure flexible capacitive sensor for monitoring breathing state based on wet spinning technology. These soft and biocompatible wearable sensor arrays are connected to signal acquisition circuits, which can wirelessly transmit data on sleeping posture and breathing state to the PC in real time for efficient monitoring. We also constructed a model based on multiclassification support vector machine (SVM) to recognize four sleeping postures, including supine state, prone state, left lying, and right lying, with an accuracy rate of up to 96%. Finally, a comprehensive analysis of sleeping posture and breathing state can provide a comprehensive evaluation of sleep quality and targeted sleep improvement suggestions based on monitoring results. The designed sleep state monitoring system can not only provide long-term sleep data for medical professionals but also provide important information for the diagnosis of patients with sleep disorders.

IEEE Sensors JournalVol. 24(20)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN), Shandong University of Science and Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 4%
Sleep and Work-Related Fatigue
5.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.