Experimental Study on Wound Area Measurement with Mobile Devices
Healthcare treatments might benefit from advances in artificial intelligence and technological equipment such as smartphones and smartwatches. The presence of cameras in these devices with increasingly robust and precise pattern recognition techniques can facilitate the estimation of the wound area...
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doaj-81e335c971ca4f86b88dbdd1e07018d42021-09-09T13:56:07ZengMDPI AGSensors1424-82202021-08-01215762576210.3390/s21175762Experimental Study on Wound Area Measurement with Mobile DevicesFilipe Ferreira0Ivan Miguel Pires1Vasco Ponciano2Mónica Costa3María Vanessa Villasana4Nuno M. Garcia5Eftim Zdravevski6Petre Lameski7Ivan Chorbev8Martin Mihajlov9Vladimir Trajkovik10R&D Unit in Digital Services, Applications, and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, PortugalInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, PortugalR&D Unit in Digital Services, Applications, and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, PortugalR&D Unit in Digital Services, Applications, and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, PortugalCentro Hospitalar do Baixo Vouga, 3810-164 Aveiro, PortugalInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, PortugalFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaLaboratory for Open Systems and Networks, Jozef Stefan Institute, 1000 Ljubljana, SloveniaFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North MacedoniaHealthcare treatments might benefit from advances in artificial intelligence and technological equipment such as smartphones and smartwatches. The presence of cameras in these devices with increasingly robust and precise pattern recognition techniques can facilitate the estimation of the wound area and other telemedicine measurements. Currently, telemedicine is vital to the maintenance of the quality of the treatments remotely. This study proposes a method for measuring the wound area with mobile devices. The proposed approach relies on a multi-step process consisting of image capture, conversion to grayscale, blurring, application of a threshold with segmentation, identification of the wound part, dilation and erosion of the detected wound section, identification of accurate data related to the image, and measurement of the wound area. The proposed method was implemented with the OpenCV framework. Thus, it is a solution for healthcare systems by which to investigate and treat people with skin-related diseases. The proof-of-concept was performed with a static dataset of camera images on a desktop computer. After we validated the approach’s feasibility, we implemented the method in a mobile application that allows for communication between patients, caregivers, and healthcare professionals.https://www.mdpi.com/1424-8220/21/17/5762wound area measurementmobile applicationsegmentationthresholdimage processing techniques |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Filipe Ferreira Ivan Miguel Pires Vasco Ponciano Mónica Costa María Vanessa Villasana Nuno M. Garcia Eftim Zdravevski Petre Lameski Ivan Chorbev Martin Mihajlov Vladimir Trajkovik |
spellingShingle |
Filipe Ferreira Ivan Miguel Pires Vasco Ponciano Mónica Costa María Vanessa Villasana Nuno M. Garcia Eftim Zdravevski Petre Lameski Ivan Chorbev Martin Mihajlov Vladimir Trajkovik Experimental Study on Wound Area Measurement with Mobile Devices Sensors wound area measurement mobile application segmentation threshold image processing techniques |
author_facet |
Filipe Ferreira Ivan Miguel Pires Vasco Ponciano Mónica Costa María Vanessa Villasana Nuno M. Garcia Eftim Zdravevski Petre Lameski Ivan Chorbev Martin Mihajlov Vladimir Trajkovik |
author_sort |
Filipe Ferreira |
title |
Experimental Study on Wound Area Measurement with Mobile Devices |
title_short |
Experimental Study on Wound Area Measurement with Mobile Devices |
title_full |
Experimental Study on Wound Area Measurement with Mobile Devices |
title_fullStr |
Experimental Study on Wound Area Measurement with Mobile Devices |
title_full_unstemmed |
Experimental Study on Wound Area Measurement with Mobile Devices |
title_sort |
experimental study on wound area measurement with mobile devices |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-08-01 |
description |
Healthcare treatments might benefit from advances in artificial intelligence and technological equipment such as smartphones and smartwatches. The presence of cameras in these devices with increasingly robust and precise pattern recognition techniques can facilitate the estimation of the wound area and other telemedicine measurements. Currently, telemedicine is vital to the maintenance of the quality of the treatments remotely. This study proposes a method for measuring the wound area with mobile devices. The proposed approach relies on a multi-step process consisting of image capture, conversion to grayscale, blurring, application of a threshold with segmentation, identification of the wound part, dilation and erosion of the detected wound section, identification of accurate data related to the image, and measurement of the wound area. The proposed method was implemented with the OpenCV framework. Thus, it is a solution for healthcare systems by which to investigate and treat people with skin-related diseases. The proof-of-concept was performed with a static dataset of camera images on a desktop computer. After we validated the approach’s feasibility, we implemented the method in a mobile application that allows for communication between patients, caregivers, and healthcare professionals. |
topic |
wound area measurement mobile application segmentation threshold image processing techniques |
url |
https://www.mdpi.com/1424-8220/21/17/5762 |
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