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...

Full description

Saved in:
Bibliographic Details
Published in:Current directions in biomedical engineering 2022-09, Vol.8 (2), p.478-480
Main Authors: Fischer, Patrick, Wattendorf, Sonja, Hossein Tabatabaei, Seyed Amir, Wilbrand, Martina, Wilbrand, Jan-Falco, Sohrabi, Keywan
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Vision
Craniofacial deformities
mHealth technology
Mobile health app
Monitoring
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 480
container_issue 2
container_start_page 478
container_title Current directions in biomedical engineering
container_volume 8
creator Fischer, Patrick
Wattendorf, Sonja
Hossein Tabatabaei, Seyed Amir
Wilbrand, Martina
Wilbrand, Jan-Falco
Sohrabi, Keywan
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.
doi_str_mv 10.1515/cdbme-2022-1122
format article
fullrecord <record><control><sourceid>walterdegruyter_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_8ab09908da8f4d37a9deb979c37b80d1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_8ab09908da8f4d37a9deb979c37b80d1</doaj_id><sourcerecordid>10_1515_cdbme_2022_112282478</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2008-5c69e4d3864d06f14d4c3ae3599e93feb18af4e21d2a0e521cbdd0dd61ff799c3</originalsourceid><addsrcrecordid>eNp1kEtLAzEUhYMoWGrXbucPjM1rMgm4KfVVqCio65BJbmrKdFIyU6T_3rQVcePqHi6c795zELom-IZUpJpa12ygpJjSkhBKz9CIMsHLqsL8_I--RJO-X2OMiaBCSDZCs7eNScP2M3ZQNKYHVzzHLgwxhW5VRF-8ggtmSMEW82S6EL2xwbTFHfiYNmEI0F-hC2_aHiY_c4w-Hu7f50_l8uVxMZ8tS0sxlmVlhQLumBTcYeEJd9wyA6xSChTz0BBpPAdKHDUYKkps4xx2ThDva6UsG6PFieuiWettCvnxvY4m6OMippXOSYJtQUvTYKWwdEb6fLI2ykGj6gypG4kdyazpiWVT7PsE_pdHsD4Uqo-F6kOh-lBodtyeHF-mHSA5WKXdPgu9jrvU5dz_OSXltWTfcG19-g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Smartphone based Monitoring of Pediatric Craniofacial Deformities</title><source>Walter De Gruyter: Open Access Journals</source><creator>Fischer, Patrick ; Wattendorf, Sonja ; Hossein Tabatabaei, Seyed Amir ; Wilbrand, Martina ; Wilbrand, Jan-Falco ; Sohrabi, Keywan</creator><creatorcontrib>Fischer, Patrick ; Wattendorf, Sonja ; Hossein Tabatabaei, Seyed Amir ; Wilbrand, Martina ; Wilbrand, Jan-Falco ; Sohrabi, Keywan</creatorcontrib><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.</description><identifier>ISSN: 2364-5504</identifier><identifier>EISSN: 2364-5504</identifier><identifier>DOI: 10.1515/cdbme-2022-1122</identifier><language>eng</language><publisher>De Gruyter</publisher><subject>Artificial Intelligence ; Computer Vision ; Craniofacial deformities ; mHealth technology ; Mobile health app ; Monitoring</subject><ispartof>Current directions in biomedical engineering, 2022-09, Vol.8 (2), p.478-480</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.1515/cdbme-2022-1122/pdf$$EPDF$$P50$$Gwalterdegruyter$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.1515/cdbme-2022-1122/html$$EHTML$$P50$$Gwalterdegruyter$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27901,27902,66901,68685</link.rule.ids></links><search><creatorcontrib>Fischer, Patrick</creatorcontrib><creatorcontrib>Wattendorf, Sonja</creatorcontrib><creatorcontrib>Hossein Tabatabaei, Seyed Amir</creatorcontrib><creatorcontrib>Wilbrand, Martina</creatorcontrib><creatorcontrib>Wilbrand, Jan-Falco</creatorcontrib><creatorcontrib>Sohrabi, Keywan</creatorcontrib><title>Smartphone based Monitoring of Pediatric Craniofacial Deformities</title><title>Current directions in biomedical engineering</title><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.</description><subject>Artificial Intelligence</subject><subject>Computer Vision</subject><subject>Craniofacial deformities</subject><subject>mHealth technology</subject><subject>Mobile health app</subject><subject>Monitoring</subject><issn>2364-5504</issn><issn>2364-5504</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp1kEtLAzEUhYMoWGrXbucPjM1rMgm4KfVVqCio65BJbmrKdFIyU6T_3rQVcePqHi6c795zELom-IZUpJpa12ygpJjSkhBKz9CIMsHLqsL8_I--RJO-X2OMiaBCSDZCs7eNScP2M3ZQNKYHVzzHLgwxhW5VRF-8ggtmSMEW82S6EL2xwbTFHfiYNmEI0F-hC2_aHiY_c4w-Hu7f50_l8uVxMZ8tS0sxlmVlhQLumBTcYeEJd9wyA6xSChTz0BBpPAdKHDUYKkps4xx2ThDva6UsG6PFieuiWettCvnxvY4m6OMippXOSYJtQUvTYKWwdEb6fLI2ykGj6gypG4kdyazpiWVT7PsE_pdHsD4Uqo-F6kOh-lBodtyeHF-mHSA5WKXdPgu9jrvU5dz_OSXltWTfcG19-g</recordid><startdate>20220902</startdate><enddate>20220902</enddate><creator>Fischer, Patrick</creator><creator>Wattendorf, Sonja</creator><creator>Hossein Tabatabaei, Seyed Amir</creator><creator>Wilbrand, Martina</creator><creator>Wilbrand, Jan-Falco</creator><creator>Sohrabi, Keywan</creator><general>De Gruyter</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20220902</creationdate><title>Smartphone based Monitoring of Pediatric Craniofacial Deformities</title><author>Fischer, Patrick ; Wattendorf, Sonja ; Hossein Tabatabaei, Seyed Amir ; Wilbrand, Martina ; Wilbrand, Jan-Falco ; Sohrabi, Keywan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2008-5c69e4d3864d06f14d4c3ae3599e93feb18af4e21d2a0e521cbdd0dd61ff799c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Artificial Intelligence</topic><topic>Computer Vision</topic><topic>Craniofacial deformities</topic><topic>mHealth technology</topic><topic>Mobile health app</topic><topic>Monitoring</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fischer, Patrick</creatorcontrib><creatorcontrib>Wattendorf, Sonja</creatorcontrib><creatorcontrib>Hossein Tabatabaei, Seyed Amir</creatorcontrib><creatorcontrib>Wilbrand, Martina</creatorcontrib><creatorcontrib>Wilbrand, Jan-Falco</creatorcontrib><creatorcontrib>Sohrabi, Keywan</creatorcontrib><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Current directions in biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fischer, Patrick</au><au>Wattendorf, Sonja</au><au>Hossein Tabatabaei, Seyed Amir</au><au>Wilbrand, Martina</au><au>Wilbrand, Jan-Falco</au><au>Sohrabi, Keywan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Smartphone based Monitoring of Pediatric Craniofacial Deformities</atitle><jtitle>Current directions in biomedical engineering</jtitle><date>2022-09-02</date><risdate>2022</risdate><volume>8</volume><issue>2</issue><spage>478</spage><epage>480</epage><pages>478-480</pages><issn>2364-5504</issn><eissn>2364-5504</eissn><abstract>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.</abstract><pub>De Gruyter</pub><doi>10.1515/cdbme-2022-1122</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2364-5504
ispartof Current directions in biomedical engineering, 2022-09, Vol.8 (2), p.478-480
issn 2364-5504
2364-5504
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_8ab09908da8f4d37a9deb979c37b80d1
source Walter De Gruyter: Open Access Journals
subjects Artificial Intelligence
Computer Vision
Craniofacial deformities
mHealth technology
Mobile health app
Monitoring
title Smartphone based Monitoring of Pediatric Craniofacial Deformities
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T01%3A33%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-walterdegruyter_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Smartphone%20based%20Monitoring%20of%20Pediatric%20Craniofacial%20Deformities&rft.jtitle=Current%20directions%20in%20biomedical%20engineering&rft.au=Fischer,%20Patrick&rft.date=2022-09-02&rft.volume=8&rft.issue=2&rft.spage=478&rft.epage=480&rft.pages=478-480&rft.issn=2364-5504&rft.eissn=2364-5504&rft_id=info:doi/10.1515/cdbme-2022-1122&rft_dat=%3Cwalterdegruyter_doaj_%3E10_1515_cdbme_2022_112282478%3C/walterdegruyter_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2008-5c69e4d3864d06f14d4c3ae3599e93feb18af4e21d2a0e521cbdd0dd61ff799c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true