Study on sleep health of convalescent population based on intelligent senseless sleep monitoring system

MA Qian; ZHANG Pingshu; WANG Lianhui; XUE Jing; OU Ya; YUAN Xiaodong

doi:10.16766/j.cnki.issn.1674-4152.003187

Volume 21 Issue 10

Oct. 2023

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Article Navigation > Chinese Journal of General Practice > 2023 > 21(10): 1636-1639

MA Qian, ZHANG Pingshu, WANG Lianhui, XUE Jing, OU Ya, YUAN Xiaodong. Study on sleep health of convalescent population based on intelligent senseless sleep monitoring system[J]. Chinese Journal of General Practice, 2023, 21(10): 1636-1639. doi: 10.16766/j.cnki.issn.1674-4152.003187

Citation:

MA Qian, ZHANG Pingshu, WANG Lianhui, XUE Jing, OU Ya, YUAN Xiaodong. Study on sleep health of convalescent population based on intelligent senseless sleep monitoring system[J]. Chinese Journal of General Practice, 2023, 21(10): 1636-1639. doi: 10.16766/j.cnki.issn.1674-4152.003187

Citation:

MA Qian, ZHANG Pingshu, WANG Lianhui, XUE Jing, OU Ya, YUAN Xiaodong. Study on sleep health of convalescent population based on intelligent senseless sleep monitoring system[J]. Chinese Journal of General Practice, 2023, 21(10): 1636-1639. doi: 10.16766/j.cnki.issn.1674-4152.003187

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Study on sleep health of convalescent population based on intelligent senseless sleep monitoring system

doi: 10.16766/j.cnki.issn.1674-4152.003187

MA Qian^{1, 2}
, ZHANG Pingshu^{1, 2}
, WANG Lianhui^{1, 2}
, XUE Jing^{1, 2}
, OU Ya¹
, YUAN Xiaodong^{1, 2
,
,}

1.
Department of Neurology, Affiliated Kailuan General Hospital of North China University of Science and Technology, Tangshan, Hebei 063000, China

Funds:

203777116D

20231854

GZ2020002

Received Date: 2023-02-15
Available Online: 2023-11-23

Abstract

Abstract

Objective To analyze the sleep structure and main sleep disorders of healthy people in nursing homes using the intelligent senseless sleep monitoring technology. Methods A total of 51 volunteers admitted to Jinggezhuang Medical Center and Fangezhuang Old-age Center in Kailuan from August to December 2021 were selected. The intelligent mattress sleep state monitoring platform system (IMSMPS, SC-500) was used to continuously monitor the sleep state at night (17:00-06:00). The data of continuous monitoring for 7 days were analyzed. Results There was significant difference between shallow sleep period and maximum heart rate on day 1 and day 7 in this population [(337.96±66.87) min vs. (318.18±74.05) min; 79 (76, 83) times/min vs. 78 (76, 81) times/min, all P < 0.05], but there was no difference in other sleep monitoring indexes (all P>0.05). The sleep persistence fluctuated between good, fair and bad accounted for 23.53% (12/51), sleep condition fluctuated between good, fair and bad accounted for 39.22% (20/51), sleep efficiency fluctuated between good, fair and bad accounted for only 7.84% (4/51). Conclusion The sleep state of this kind of people has great fluctuation every day, and the incidence of sleep disorder is very high, so only based on the results of a single sleep monitoring is not enough to exclude the diagnosis of sleep disorder.
- Intelligent mattress sleep monitoring platform system,
- Convalescent population,
- Health check-up,
- Sleep state,
- Sleep disorder

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References(19)

References

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