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A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates

Characteristics of physical movements are indicative of infants’ neuro-motor development and brain dysfunction. For instance, infant seizure, a clinical signal of brain dysfunction, could be identified and predicted by monitoring its physical movements. With the advance of wearable sensor technology...

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Autores principales: Chen, Hongyu, Xue, Mengru, Mei, Zhenning, Bambang Oetomo, Sidarto, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191114/
https://www.ncbi.nlm.nih.gov/pubmed/27983664
http://dx.doi.org/10.3390/s16122134
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author Chen, Hongyu
Xue, Mengru
Mei, Zhenning
Bambang Oetomo, Sidarto
Chen, Wei
author_facet Chen, Hongyu
Xue, Mengru
Mei, Zhenning
Bambang Oetomo, Sidarto
Chen, Wei
author_sort Chen, Hongyu
collection PubMed
description Characteristics of physical movements are indicative of infants’ neuro-motor development and brain dysfunction. For instance, infant seizure, a clinical signal of brain dysfunction, could be identified and predicted by monitoring its physical movements. With the advance of wearable sensor technology, including the miniaturization of sensors, and the increasing broad application of micro- and nanotechnology, and smart fabrics in wearable sensor systems, it is now possible to collect, store, and process multimodal signal data of infant movements in a more efficient, more comfortable, and non-intrusive way. This review aims to depict the state-of-the-art of wearable sensor systems for infant movement monitoring. We also discuss its clinical significance and the aspect of system design.
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spelling pubmed-51911142017-01-03 A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates Chen, Hongyu Xue, Mengru Mei, Zhenning Bambang Oetomo, Sidarto Chen, Wei Sensors (Basel) Review Characteristics of physical movements are indicative of infants’ neuro-motor development and brain dysfunction. For instance, infant seizure, a clinical signal of brain dysfunction, could be identified and predicted by monitoring its physical movements. With the advance of wearable sensor technology, including the miniaturization of sensors, and the increasing broad application of micro- and nanotechnology, and smart fabrics in wearable sensor systems, it is now possible to collect, store, and process multimodal signal data of infant movements in a more efficient, more comfortable, and non-intrusive way. This review aims to depict the state-of-the-art of wearable sensor systems for infant movement monitoring. We also discuss its clinical significance and the aspect of system design. MDPI 2016-12-14 /pmc/articles/PMC5191114/ /pubmed/27983664 http://dx.doi.org/10.3390/s16122134 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Chen, Hongyu
Xue, Mengru
Mei, Zhenning
Bambang Oetomo, Sidarto
Chen, Wei
A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates
title A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates
title_full A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates
title_fullStr A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates
title_full_unstemmed A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates
title_short A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates
title_sort review of wearable sensor systems for monitoring body movements of neonates
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191114/
https://www.ncbi.nlm.nih.gov/pubmed/27983664
http://dx.doi.org/10.3390/s16122134
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