Cargando…

Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation

Automatic thermal and mechanical massage beds support self-managed treatment, including reduction of pain and stress, enhanced circulation, and improved mobility. As the devices become more sophisticated (increasing the degrees of freedom), it is essential to identify the settings that best target t...

Descripción completa

Detalles Bibliográficos
Autores principales: Dmochowski, Jacek P., Khadka, Niranjan, Cardoso, Luis, Meneses, Edson, Lee, Kiwon, Kim, Sungjin, Jin, Youngsoo, Bikson, Marom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238293/
https://www.ncbi.nlm.nih.gov/pubmed/35774152
http://dx.doi.org/10.3389/fmedt.2022.925554
_version_ 1784737015328145408
author Dmochowski, Jacek P.
Khadka, Niranjan
Cardoso, Luis
Meneses, Edson
Lee, Kiwon
Kim, Sungjin
Jin, Youngsoo
Bikson, Marom
author_facet Dmochowski, Jacek P.
Khadka, Niranjan
Cardoso, Luis
Meneses, Edson
Lee, Kiwon
Kim, Sungjin
Jin, Youngsoo
Bikson, Marom
author_sort Dmochowski, Jacek P.
collection PubMed
description Automatic thermal and mechanical massage beds support self-managed treatment, including reduction of pain and stress, enhanced circulation, and improved mobility. As the devices become more sophisticated (increasing the degrees of freedom), it is essential to identify the settings that best target the desired tissue. To that end, we developed an MRI-derived model of the lower back and simulated the physiological effects of a commercial thermal-mechanical massage bed. Here we specifically estimated the tissue temperature and increased circulation under steady-state conditions for typical thermal actuator settings (i.e., 45–65°C). Energy transfer across nine tissues was simulated with finite element modeling (FEM) and the resulting heating was coupled to blood flow with an empirically-guided model of temperature-dependent circulation. Our findings indicate that thermal massage increases tissue temperature by 3–8°C and 1–3°C at depths of 2 and 3 cm, respectively. Importantly, due to the rapid (non-linear) increase of circulation with local temperature, this is expected to increase blood flow four-fold (4x) at depths occupied by deep tissue and muscle. These predictions are consistent with prior clinical observations of therapeutic benefits derived from spinal thermal massage.
format Online
Article
Text
id pubmed-9238293
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-92382932022-06-29 Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation Dmochowski, Jacek P. Khadka, Niranjan Cardoso, Luis Meneses, Edson Lee, Kiwon Kim, Sungjin Jin, Youngsoo Bikson, Marom Front Med Technol Medical Technology Automatic thermal and mechanical massage beds support self-managed treatment, including reduction of pain and stress, enhanced circulation, and improved mobility. As the devices become more sophisticated (increasing the degrees of freedom), it is essential to identify the settings that best target the desired tissue. To that end, we developed an MRI-derived model of the lower back and simulated the physiological effects of a commercial thermal-mechanical massage bed. Here we specifically estimated the tissue temperature and increased circulation under steady-state conditions for typical thermal actuator settings (i.e., 45–65°C). Energy transfer across nine tissues was simulated with finite element modeling (FEM) and the resulting heating was coupled to blood flow with an empirically-guided model of temperature-dependent circulation. Our findings indicate that thermal massage increases tissue temperature by 3–8°C and 1–3°C at depths of 2 and 3 cm, respectively. Importantly, due to the rapid (non-linear) increase of circulation with local temperature, this is expected to increase blood flow four-fold (4x) at depths occupied by deep tissue and muscle. These predictions are consistent with prior clinical observations of therapeutic benefits derived from spinal thermal massage. Frontiers Media S.A. 2022-06-14 /pmc/articles/PMC9238293/ /pubmed/35774152 http://dx.doi.org/10.3389/fmedt.2022.925554 Text en Copyright © 2022 Dmochowski, Khadka, Cardoso, Meneses, Lee, Kim, Jin and Bikson. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medical Technology
Dmochowski, Jacek P.
Khadka, Niranjan
Cardoso, Luis
Meneses, Edson
Lee, Kiwon
Kim, Sungjin
Jin, Youngsoo
Bikson, Marom
Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation
title Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation
title_full Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation
title_fullStr Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation
title_full_unstemmed Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation
title_short Computational Modeling of Deep Tissue Heating by an Automatic Thermal Massage Bed: Predicting the Effects on Circulation
title_sort computational modeling of deep tissue heating by an automatic thermal massage bed: predicting the effects on circulation
topic Medical Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238293/
https://www.ncbi.nlm.nih.gov/pubmed/35774152
http://dx.doi.org/10.3389/fmedt.2022.925554
work_keys_str_mv AT dmochowskijacekp computationalmodelingofdeeptissueheatingbyanautomaticthermalmassagebedpredictingtheeffectsoncirculation
AT khadkaniranjan computationalmodelingofdeeptissueheatingbyanautomaticthermalmassagebedpredictingtheeffectsoncirculation
AT cardosoluis computationalmodelingofdeeptissueheatingbyanautomaticthermalmassagebedpredictingtheeffectsoncirculation
AT menesesedson computationalmodelingofdeeptissueheatingbyanautomaticthermalmassagebedpredictingtheeffectsoncirculation
AT leekiwon computationalmodelingofdeeptissueheatingbyanautomaticthermalmassagebedpredictingtheeffectsoncirculation
AT kimsungjin computationalmodelingofdeeptissueheatingbyanautomaticthermalmassagebedpredictingtheeffectsoncirculation
AT jinyoungsoo computationalmodelingofdeeptissueheatingbyanautomaticthermalmassagebedpredictingtheeffectsoncirculation
AT biksonmarom computationalmodelingofdeeptissueheatingbyanautomaticthermalmassagebedpredictingtheeffectsoncirculation