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
Prevê-se que a proporção de pessoas com mais de 65 anos aumente em todo o mundo entre 2022 e 2050. A carga crescente sobre o pessoal médico e a escassez de recursos humanos são problemas crescentes. Escaras são lesões causadas por pressão prolongada na pele e estagnação do fluxo sanguíneo. Quanto mais progride o dano causado pelas escaras, mais longo se torna o período de tratamento. Além disso, os pacientes necessitam de cirurgia em alguns casos graves. Portanto, a detecção precoce é essencial. Em nossa pesquisa, estamos desenvolvendo um sistema de detecção de escaras sem contato usando ondas eletromagnéticas de 10.5 GHz. Neste artigo, extraímos informações apropriadas de um escalograma e as utilizamos para detectar o tamanho das escaras. Além disso, foram realizados experimentos utilizando um fantasma para confirmar o funcionamento básico do sistema de detecção de escaras. Como resultado, utilizando as curvas e linhas aproximadas obtidas dos dados de análises anteriores, foi possível estimar o volume de cada área deserta, bem como combinações da profundidade da área deserta e do comprimento da área deserta. Além disso, os experimentos mostraram que foi possível detectar a presença de escaras e estimar seus tamanhos, embora os resultados da detecção tenham apresentado pequenas variações.
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 -