マルチモダル医療データと心血管熱伝達モデルに基づくパーソナライズされた血液動力学分析
Yongtao Liu1, Huimin Chen1, Xiaoling Ding1
1Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power Engineering, Dalian University of Technology, Dalian, China.
International journal for numerical methods in biomedical engineering
|February 14, 2026
まとめ
この研究は,非侵襲的な生理学的モニタリングのための心血管および熱伝達モデルを統合しています. 結合されたモデルは血流と皮膚の温度を正確に予測し,心血管疾患のスクリーニングに役立ちます.
科学分野:
- 生理学的モデリング
- 心血管のダイナミクス
- 熱的生理学 熱的生理学とは
背景:
- 血流と体温の非侵襲的測定は,ヘルスケアと心血管疾患のスクリーニングに不可欠です.
- 既存のモデルでは,心血管の血液動力学と熱調節の統合が欠けていることが多い.
研究 の 目的:
- 統合された1次元の (1D) 心血管モデルと,単一のパラメータの熱伝達モデルを組み合わせた統合された1次元の (1D) 心血管モデルを開発し,検証する.
- パーソナライズされた心血管の血液動力学と皮膚の温度調節を評価する.
- 異なる生理学的条件下で血流の変動を調査する.
主な方法:
- マルチモダルのヒトデータと1D動脈樹と単一のパラメータの熱伝達モデルを統合する.
- ラディアル圧力とフロー速度の波形を使用して,周辺阻力およびパルス波速度のパーソナライゼーション.
- 熱血流分析のための心臓血管と熱伝達モデルの結合.
- 皮膚の血液 perfusion と組織層の厚さの予測.
主要な成果:
- パーソナライズされた中央大動脈圧は予測され,検証されました.
- クープリングされたモデルは,被験者の血流の波形と皮膚の温度を効果的にシミュレートしました.
- 非侵襲的なパルス波装置は,中央大動脈圧を予測し,校正することができます.
- 皮膚の温度変動は,周辺の血流の動態と相関しています.
結論:
- 統合された熱血流動モデルは,非侵襲的な心血管評価のための強力なプラットフォームを提供します.
- このアプローチは,皮膚の温度と血流の関係に関する理解を深める.
- このモデルは,心血管疾患の早期スクリーニングとパーソナライズされた生理学的モニタリングをサポートします.
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