TY - JOUR
T1 - Design of a stimulation protocol to predict temperature distribution in subcutaneous tissue using the finite element model
AU - Myoung, Hyoun Seok
AU - Kim, Dong Hyun
AU - Kim, Han Sung
AU - Lee, Kyoung Joung
N1 - Publisher Copyright:
© 2017, Korean Society of Medical and Biological Engineering and Springer.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - Moxibustion is a traditional Oriental medicine therapy that treats the symptoms of a disease with thermal stimulation. However, it is difficult to control the strength of the thermal or chemical stimulus generated by the various types and amounts of moxa and to prevent energy loss through the skin. To overcome these problems, we previously developed a method to efficiently provide RF thermal stimulation to subcutaneous tissue. In this paper, we propose a finite element model (FEM) to predict temperature distributions in subcutaneous tissue after radio-frequency thermal stimulation. To evaluate the performance of the developed FEM, temperature distributions were obtained from the FEM, and in vivo experiments were conducted using the RF stimulation system at subcutaneous tissue depths of 5 and 10 mm in the femoral region of a rabbit model. High correlation coefficients between simulated and actual temperature distributions—0.98 at 5 mm and 0.99 at 10 mm—were obtained, despite some slight errors in the temperature distribution at each depth. These results demonstrate that the FEM described here can be used to determine thermal stimulation profiles produced by RF stimulation of subcutaneous tissue.
AB - Moxibustion is a traditional Oriental medicine therapy that treats the symptoms of a disease with thermal stimulation. However, it is difficult to control the strength of the thermal or chemical stimulus generated by the various types and amounts of moxa and to prevent energy loss through the skin. To overcome these problems, we previously developed a method to efficiently provide RF thermal stimulation to subcutaneous tissue. In this paper, we propose a finite element model (FEM) to predict temperature distributions in subcutaneous tissue after radio-frequency thermal stimulation. To evaluate the performance of the developed FEM, temperature distributions were obtained from the FEM, and in vivo experiments were conducted using the RF stimulation system at subcutaneous tissue depths of 5 and 10 mm in the femoral region of a rabbit model. High correlation coefficients between simulated and actual temperature distributions—0.98 at 5 mm and 0.99 at 10 mm—were obtained, despite some slight errors in the temperature distribution at each depth. These results demonstrate that the FEM described here can be used to determine thermal stimulation profiles produced by RF stimulation of subcutaneous tissue.
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U2 - 10.1007/s13534-017-0029-0
DO - 10.1007/s13534-017-0029-0
M3 - Article
AN - SCOPUS:85027854919
VL - 7
SP - 261
EP - 266
JO - Biomedical Engineering Letters
JF - Biomedical Engineering Letters
SN - 2093-9868
IS - 3
ER -