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Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE
Post-void alarm systems to monitor bedwetting in nocturnal enuresis (NE) have been deemed unsatisfactory. The aim of this study is to develop a safe, comfortable and non-invasive pre-void wearable alarm and associated technologies using advanced mechatronics. Each stage of development includes patie...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188739/ https://www.ncbi.nlm.nih.gov/pubmed/32090271 http://dx.doi.org/10.1007/s11517-019-02091-x |
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author | Kuru, Kaya Ansell, Darren Jones, Martin Watkinson, Benjamin Jon Caswell, Noreen Leather, Peter Lancaster, Andrew Sugden, Paula Briggs, Eleanor Davies, Carl Oh, Teik Chooi Bennett, Kina De Goede, Christian |
author_facet | Kuru, Kaya Ansell, Darren Jones, Martin Watkinson, Benjamin Jon Caswell, Noreen Leather, Peter Lancaster, Andrew Sugden, Paula Briggs, Eleanor Davies, Carl Oh, Teik Chooi Bennett, Kina De Goede, Christian |
author_sort | Kuru, Kaya |
collection | PubMed |
description | Post-void alarm systems to monitor bedwetting in nocturnal enuresis (NE) have been deemed unsatisfactory. The aim of this study is to develop a safe, comfortable and non-invasive pre-void wearable alarm and associated technologies using advanced mechatronics. Each stage of development includes patient and public involvement and engagement (PPI). The early stages of the development involved children with and without NE (and parents) who were tested at a hospital under the supervision of physicians, radiologists, psychologists, and nurses. The readings of the wearable device were simultaneously compared with B-mode images and measurements, acquired from a conventional ultrasound device, and were found to correlate highly. The results showed that determining imminent voiding need is viable using non-invasive sensors. Following on from “proof of concept,” a bespoke advanced mechatronics device has been developed. The device houses custom electronics, an ultrasound system, intelligent software, a user-friendly smartphone application, bedside alarm box, and a dedicated undergarment, along with a self-adhesive gel pad—designed to keep the MEMS sensors aligned with the abdomen. Testing of the device with phantoms and volunteers has been successful in determining bladder volume and associated voiding need. Five miniaturised, and therefore more ergonomic, versions of the device are being developed, with an enabled connection to the cloud platform for location independent control and monitoring. Thereafter, the enhanced device will be tested with children with NE at their homes for 14 weeks, to gain feedback relating to wearability and data collection involving the cloud platform. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11517-019-02091-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7188739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-71887392020-05-04 Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE Kuru, Kaya Ansell, Darren Jones, Martin Watkinson, Benjamin Jon Caswell, Noreen Leather, Peter Lancaster, Andrew Sugden, Paula Briggs, Eleanor Davies, Carl Oh, Teik Chooi Bennett, Kina De Goede, Christian Med Biol Eng Comput Original Article Post-void alarm systems to monitor bedwetting in nocturnal enuresis (NE) have been deemed unsatisfactory. The aim of this study is to develop a safe, comfortable and non-invasive pre-void wearable alarm and associated technologies using advanced mechatronics. Each stage of development includes patient and public involvement and engagement (PPI). The early stages of the development involved children with and without NE (and parents) who were tested at a hospital under the supervision of physicians, radiologists, psychologists, and nurses. The readings of the wearable device were simultaneously compared with B-mode images and measurements, acquired from a conventional ultrasound device, and were found to correlate highly. The results showed that determining imminent voiding need is viable using non-invasive sensors. Following on from “proof of concept,” a bespoke advanced mechatronics device has been developed. The device houses custom electronics, an ultrasound system, intelligent software, a user-friendly smartphone application, bedside alarm box, and a dedicated undergarment, along with a self-adhesive gel pad—designed to keep the MEMS sensors aligned with the abdomen. Testing of the device with phantoms and volunteers has been successful in determining bladder volume and associated voiding need. Five miniaturised, and therefore more ergonomic, versions of the device are being developed, with an enabled connection to the cloud platform for location independent control and monitoring. Thereafter, the enhanced device will be tested with children with NE at their homes for 14 weeks, to gain feedback relating to wearability and data collection involving the cloud platform. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11517-019-02091-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-02-24 2020 /pmc/articles/PMC7188739/ /pubmed/32090271 http://dx.doi.org/10.1007/s11517-019-02091-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Kuru, Kaya Ansell, Darren Jones, Martin Watkinson, Benjamin Jon Caswell, Noreen Leather, Peter Lancaster, Andrew Sugden, Paula Briggs, Eleanor Davies, Carl Oh, Teik Chooi Bennett, Kina De Goede, Christian Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE |
title | Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE |
title_full | Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE |
title_fullStr | Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE |
title_full_unstemmed | Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE |
title_short | Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE |
title_sort | intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and mems sensors: intelligent autonomous bladder monitoring to treat ne |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188739/ https://www.ncbi.nlm.nih.gov/pubmed/32090271 http://dx.doi.org/10.1007/s11517-019-02091-x |
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