Evidence map›Paper›PMID 35055561›Full record

ArticleInternational journal of environmental research and public health2022

Modulation of Sleep Architecture by Whole-Body Static Magnetic Exposure: A Study Based on EEG-Based Automatic Sleep Staging.

Lei Yang, Haoyu Jiang, Xiaotong Ding, Zhongcai Liao, Min Wei, Juan Li, Tongning Wu, Congsheng Li, Yanwen Fang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 53% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Lei YangChina Academy of Information and Communications Technology, Beijing 100191, China.
Haoyu JiangChina Academy of Information and Communications Technology, Beijing 100191, China.
Xiaotong DingChina Academy of Information and Communications Technology, Beijing 100191, China.
Zhongcai LiaoZhejiang Heye Health Technology, Anji 313300, China.
Min WeiZhejiang Heye Health Technology, Anji 313300, China.
Juan LiChina Academy of Information and Communications Technology, Beijing 100191, China.
Tongning WuChina Academy of Information and Communications Technology, Beijing 100191, China.ORCID 0000-0002-9894-9518
Congsheng LiChina Academy of Information and Communications Technology, Beijing 100191, China.
Yanwen FangZhejiang Heye Health Technology, Anji 313300, China.
China Academy of Information and Communications Technology · CN

Funding

National Key Research and Development Program of China 2019YFF0216302
6 · The paper itself

Abstract

A steady increase in sleep problems has been observed along with the development of society. Overnight exposure to a static magnetic field has been found to improve sleep quality; however, such studies were mainly based on subjective evaluation. Thus, the presented data cannot be used to infer sleep architecture in detail. In this study, the subjects slept on a magneto-static mattress for four nights, and self-reported scales and electroencephalogram (EEG) were used to determine the effect of static magnetic field exposure (SMFE) on sleep. Machine learning operators, i.e., decision tree and supporting vector machine, were trained and optimized with the open access sleep EEG dataset to automatically discriminate the individual sleep stages, determined experimentally. SMEF was found to decrease light sleep duration (N2%) by 3.51%, and sleep onset latency (SOL) by 15.83%, while it increased deep sleep duration (N3%) by 8.43%, compared with the sham SMFE group. Further, the overall sleep efficiency (SE) was also enhanced by SMFE. It is the first study, to the best of our knowledge, where the change in sleep architecture was explored by SMFE. Our findings will be useful in developing a non-invasive sleep-facilitating instrument.

Indexed as

ElectroencephalographySleep StagesHumansMagnetic PhenomenaSleepSupport Vector Machineelectroencephalogram (EEG)questionnairesleep stagingstatic magnetic field exposure (SMFE)support vector machine (SVM)

Identifiers

PMID35055561
PMCPMC8775472
OpenAlexW4206399098

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.