Smartphone based Monitoring of Pediatric Craniofacial Deformities
Craniofacial deformities such as positional skull deformities are widespread in infants. The early detection of these deformities is crucial for the effective treatment and the associated minimization or prevention of visual and pathological abnormalities. This paper presents a solution for the earl...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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De Gruyter
2022-09-01
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Series: | Current Directions in Biomedical Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/cdbme-2022-1122 |
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author | Fischer Patrick Wattendorf Sonja Hossein Tabatabaei Seyed Amir Wilbrand Martina Wilbrand Jan-Falco Sohrabi Keywan |
author_facet | Fischer Patrick Wattendorf Sonja Hossein Tabatabaei Seyed Amir Wilbrand Martina Wilbrand Jan-Falco Sohrabi Keywan |
author_sort | Fischer Patrick |
collection | DOAJ |
description | Craniofacial deformities such as positional skull deformities are widespread in infants. The early detection of these deformities is crucial for the effective treatment and the associated minimization or prevention of visual and pathological abnormalities. This paper presents a solution for the early detection of craniofacial deformities using easy available materials in both the domestic and clinical environments. For this purpose, suitable web technologies as well as webserver systems are used in the context of app and server development. Users can use the app to take a bird's eye view of the child's head and use a 50ct coin as scale to then automatically obtain calculated clinical parameters which they can compare with clinical standard values to rule in or out a skull deformity. The concept represents a way to compensate for the lack of specialists in craniofacial surgery as well as knowledge gaps and to digitize care concepts in the healthcare system. |
first_indexed | 2024-04-10T05:41:09Z |
format | Article |
id | doaj.art-8ab09908da8f4d37a9deb979c37b80d1 |
institution | Directory Open Access Journal |
issn | 2364-5504 |
language | English |
last_indexed | 2024-04-10T05:41:09Z |
publishDate | 2022-09-01 |
publisher | De Gruyter |
record_format | Article |
series | Current Directions in Biomedical Engineering |
spelling | doaj.art-8ab09908da8f4d37a9deb979c37b80d12023-03-06T10:24:52ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042022-09-018247848010.1515/cdbme-2022-1122Smartphone based Monitoring of Pediatric Craniofacial DeformitiesFischer Patrick0Wattendorf Sonja1Hossein Tabatabaei Seyed Amir2Wilbrand Martina3Wilbrand Jan-Falco4Sohrabi Keywan5Faculty of Health Sciences, University of Applied Sciences Giessen, Wiesenstrasse 14, 35390Giesen, GermanyFaculty of Health Sciences, University of Applied Sciences Giessen, Wiesenstrasse 14, 35390Giesen, GermanyInstitute of Medical Informatics, Faculty of Medicine, Justus-Liebig-University Giessen,Giessen, GermanyDepartment for Cranio-Maxillofacial Surgery – plastic Surgery-, University Hospital Giessen,Giessen, GermanyDepartment for Cranio-Maxillofacial Surgery – plastic Surgery, Diakonie-Klinikum Jung-Stilling,Siegen, GermanyFaculty of Health Sciences, University of Applied Sciences Giessen,Giessen, GermanyCraniofacial deformities such as positional skull deformities are widespread in infants. The early detection of these deformities is crucial for the effective treatment and the associated minimization or prevention of visual and pathological abnormalities. This paper presents a solution for the early detection of craniofacial deformities using easy available materials in both the domestic and clinical environments. For this purpose, suitable web technologies as well as webserver systems are used in the context of app and server development. Users can use the app to take a bird's eye view of the child's head and use a 50ct coin as scale to then automatically obtain calculated clinical parameters which they can compare with clinical standard values to rule in or out a skull deformity. The concept represents a way to compensate for the lack of specialists in craniofacial surgery as well as knowledge gaps and to digitize care concepts in the healthcare system.https://doi.org/10.1515/cdbme-2022-1122craniofacial deformitiesmonitoringmobile health appmhealth technologycomputer visionartificial intelligence |
spellingShingle | Fischer Patrick Wattendorf Sonja Hossein Tabatabaei Seyed Amir Wilbrand Martina Wilbrand Jan-Falco Sohrabi Keywan Smartphone based Monitoring of Pediatric Craniofacial Deformities Current Directions in Biomedical Engineering craniofacial deformities monitoring mobile health app mhealth technology computer vision artificial intelligence |
title | Smartphone based Monitoring of Pediatric Craniofacial Deformities |
title_full | Smartphone based Monitoring of Pediatric Craniofacial Deformities |
title_fullStr | Smartphone based Monitoring of Pediatric Craniofacial Deformities |
title_full_unstemmed | Smartphone based Monitoring of Pediatric Craniofacial Deformities |
title_short | Smartphone based Monitoring of Pediatric Craniofacial Deformities |
title_sort | smartphone based monitoring of pediatric craniofacial deformities |
topic | craniofacial deformities monitoring mobile health app mhealth technology computer vision artificial intelligence |
url | https://doi.org/10.1515/cdbme-2022-1122 |
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