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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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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. |
format | Online Article Text |
id | pubmed-5191114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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