The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
La proportion de personnes de plus de 65 ans devrait augmenter dans le monde entre 2022 et 2050. La charge croissante qui pèse sur le personnel médical et la pénurie de ressources humaines constituent des problèmes croissants. Les escarres sont des blessures causées par une pression prolongée sur la peau et une stagnation du flux sanguin. Plus les dégâts causés par les escarres progressent, plus la durée du traitement s’allonge. De plus, les patients nécessitent une intervention chirurgicale dans certains cas graves. Une détection précoce est donc essentielle. Dans nos recherches, nous développons un système de détection des escarres sans contact utilisant des ondes électromagnétiques à 10.5 GHz. Dans cet article, nous avons extrait les informations appropriées d’un scalogramme et les avons utilisées pour détecter la taille des escarres. De plus, des expériences utilisant un fantôme ont été menées pour confirmer le fonctionnement de base du système de détection des escarres. En conséquence, en utilisant les courbes et lignes approximatives obtenues à partir des données d’analyse antérieures, il a été possible d’estimer le volume de chaque zone défectueuse, ainsi que les combinaisons de la profondeur de la zone défectueuse et de la longueur de la zone défectueuse. De plus, les expériences ont montré qu’il était possible de détecter la présence d’escarres et d’estimer leur taille, même si les résultats de détection présentaient de légères variations.
Tomoki CHIBA
Chiba University
Yusuke ASANO
Chiba University
Masaharu TAKAHASHI
Center for Frontier Medical Engineering
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Tomoki CHIBA, Yusuke ASANO, Masaharu TAKAHASHI, "Investigation of a Non-Contact Bedsore Detection System" in IEICE TRANSACTIONS on Communications,
vol. E107-B, no. 1, pp. 206-213, January 2024, doi: 10.1587/transcom.2023EBP3070.
Abstract: The proportion of persons over 65 years old is projected to increase worldwide between 2022 and 2050. The increasing burden on medical staff and the shortage of human resources are growing problems. Bedsores are injuries caused by prolonged pressure on the skin and stagnation of blood flow. The more the damage caused by bedsores progresses, the longer the treatment period becomes. Moreover, patients require surgery in some serious cases. Therefore, early detection is essential. In our research, we are developing a non-contact bedsore detection system using electromagnetic waves at 10.5GHz. In this paper, we extracted appropriate information from a scalogram and utilized it to detect the sizes of bedsores. In addition, experiments using a phantom were conducted to confirm the basic operation of the bedsore detection system. As a result, using the approximate curves and lines obtained from prior analysis data, it was possible to estimate the volume of each defected area, as well as combinations of the depth of the defected area and the length of the defected area. Moreover, the experiments showed that it was possible to detect bedsore presence and estimate their sizes, although the detection results had slight variations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3070/_p
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@ARTICLE{e107-b_1_206,
author={Tomoki CHIBA, Yusuke ASANO, Masaharu TAKAHASHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Investigation of a Non-Contact Bedsore Detection System},
year={2024},
volume={E107-B},
number={1},
pages={206-213},
abstract={The proportion of persons over 65 years old is projected to increase worldwide between 2022 and 2050. The increasing burden on medical staff and the shortage of human resources are growing problems. Bedsores are injuries caused by prolonged pressure on the skin and stagnation of blood flow. The more the damage caused by bedsores progresses, the longer the treatment period becomes. Moreover, patients require surgery in some serious cases. Therefore, early detection is essential. In our research, we are developing a non-contact bedsore detection system using electromagnetic waves at 10.5GHz. In this paper, we extracted appropriate information from a scalogram and utilized it to detect the sizes of bedsores. In addition, experiments using a phantom were conducted to confirm the basic operation of the bedsore detection system. As a result, using the approximate curves and lines obtained from prior analysis data, it was possible to estimate the volume of each defected area, as well as combinations of the depth of the defected area and the length of the defected area. Moreover, the experiments showed that it was possible to detect bedsore presence and estimate their sizes, although the detection results had slight variations.},
keywords={},
doi={10.1587/transcom.2023EBP3070},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - Investigation of a Non-Contact Bedsore Detection System
T2 - IEICE TRANSACTIONS on Communications
SP - 206
EP - 213
AU - Tomoki CHIBA
AU - Yusuke ASANO
AU - Masaharu TAKAHASHI
PY - 2024
DO - 10.1587/transcom.2023EBP3070
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E107-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2024
AB - The proportion of persons over 65 years old is projected to increase worldwide between 2022 and 2050. The increasing burden on medical staff and the shortage of human resources are growing problems. Bedsores are injuries caused by prolonged pressure on the skin and stagnation of blood flow. The more the damage caused by bedsores progresses, the longer the treatment period becomes. Moreover, patients require surgery in some serious cases. Therefore, early detection is essential. In our research, we are developing a non-contact bedsore detection system using electromagnetic waves at 10.5GHz. In this paper, we extracted appropriate information from a scalogram and utilized it to detect the sizes of bedsores. In addition, experiments using a phantom were conducted to confirm the basic operation of the bedsore detection system. As a result, using the approximate curves and lines obtained from prior analysis data, it was possible to estimate the volume of each defected area, as well as combinations of the depth of the defected area and the length of the defected area. Moreover, the experiments showed that it was possible to detect bedsore presence and estimate their sizes, although the detection results had slight variations.
ER -