Literature DB >> 27318520

Unobtrusive sleep state measurements in preterm infants - A review.

Jan Werth1, Louis Atallah2, Peter Andriessen3, Xi Long4, Elly Zwartkruis-Pelgrim2, Ronald M Aarts5.   

Abstract

Sleep is important for the development of preterm infants. During sleep, neural connections are formed and the development of brain regions is triggered. In general, various rudimentary sleep states can be identified in the preterm infant, namely active sleep (AS), quiet sleep (QS) and intermediate sleep (IS). As the infant develops, sleep states change in length and organization, with these changes as important indicators of brain development. As a result, several methods have been deployed to distinguish between the different preterm infant sleep states, among which polysomnography (PSG) is the most frequently used. However, this method is limited by the use of adhesive electrodes or patches that are attached to the body by numerous cables that can disturb sleep. Given the importance of sleep, this review explores more unobtrusive methods that can identify sleep states without disturbing the infant. To this end, after a brief introduction to preterm sleep states, an analysis of the physiological characteristics associated with the different sleep states is provided and various methods of measuring these physiological characteristics are explored. Finally, the advantages and disadvantages of each of these methods are evaluated and recommendations for neonatal sleep monitoring proposed.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Active sleep; Contactless vital sign measurement; Preterm infant sleep; Quiet sleep; Sleep monitoring; Unobtrusive sleep measurement

Mesh:

Year:  2016        PMID: 27318520     DOI: 10.1016/j.smrv.2016.03.005

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  14 in total

Review 1.  Review of sleep-EEG in preterm and term neonates.

Authors:  Anneleen Dereymaeker; Kirubin Pillay; Jan Vervisch; Maarten De Vos; Sabine Van Huffel; Katrien Jansen; Gunnar Naulaers
Journal:  Early Hum Dev       Date:  2017-07-12       Impact factor: 2.079

2.  A Ballistographic Approach for Continuous and Non-Obtrusive Monitoring of Movement in Neonates.

Authors:  Rohan Joshi; Bart L Bierling; Xi Long; Janna Weijers; Loe Feijs; Carola Van Pul; Peter Andriessen
Journal:  IEEE J Transl Eng Health Med       Date:  2018-10-12       Impact factor: 3.316

3.  Combination of near-infrared and thermal imaging techniques for the remote and simultaneous measurements of breathing and heart rates under sleep situation.

Authors:  Menghan Hu; Guangtao Zhai; Duo Li; Yezhao Fan; Huiyu Duan; Wenhan Zhu; Xiaokang Yang
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

4.  Evaluation of a Multichannel Non-Contact ECG System and Signal Quality Algorithms for Sleep Apnea Detection and Monitoring.

Authors:  Ivan D Castro; Carolina Varon; Tom Torfs; Sabine Van Huffel; Robert Puers; Chris Van Hoof
Journal:  Sensors (Basel)       Date:  2018-02-13       Impact factor: 3.576

5.  Effects of journal therapy counseling with anxious pregnant women on their infants' sleep quality: a randomized controlled clinical trial.

Authors:  Maryam Montazeri; Mojgan Mirghafourvand; Khalil Esmaeilpour; Sakineh Mohammad-Alizadeh-Charandabi; Paria Amiri
Journal:  BMC Pediatr       Date:  2020-05-18       Impact factor: 2.125

6.  An Open Source Classifier for Bed Mattress Signal in Infant Sleep Monitoring.

Authors:  Jukka Ranta; Manu Airaksinen; Turkka Kirjavainen; Sampsa Vanhatalo; Nathan J Stevenson
Journal:  Front Neurosci       Date:  2021-01-14       Impact factor: 4.677

7.  Non-contact Sleep/Wake Monitoring Using Impulse-Radio Ultrawideband Radar in Neonates.

Authors:  Won Hyuk Lee; Seung Hyun Kim; Jae Yoon Na; Young-Hyo Lim; Seok Hyun Cho; Sung Ho Cho; Hyun-Kyung Park
Journal:  Front Pediatr       Date:  2021-12-21       Impact factor: 3.418

Review 8.  Sleep Disturbances in Newborns.

Authors:  Daphna Yasova Barbeau; Michael D Weiss
Journal:  Children (Basel)       Date:  2017-10-20

9.  Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?

Authors:  Muhammad Awais; Xi Long; Bin Yin; Chen Chen; Saeed Akbarzadeh; Saadullah Farooq Abbasi; Muhammad Irfan; Chunmei Lu; Xinhua Wang; Laishuan Wang; Wei Chen
Journal:  BMC Res Notes       Date:  2020-11-04

Review 10.  Current ideas about the roles of rapid eye movement and non-rapid eye movement sleep in brain development.

Authors:  Marit S Knoop; Eline R de Groot; Jeroen Dudink
Journal:  Acta Paediatr       Date:  2020-08-08       Impact factor: 2.299

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