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関連する概念動画

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Wave Parameters01:10

Wave Parameters

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The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
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Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

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Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
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Dynamic Equilibrium02:20

Dynamic Equilibrium

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A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
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関連する実験動画

Updated: Feb 9, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

10.3K

EMG駆動筋骨格モデルのパラメータ最適化のための前方ダイナミクスフレームワーク

Hao Xie1,2,3,4, Yingpeng Wang5, Tingting Liu3,4

  • 1School of Biomedical Engineering, GuangZhou Medical University, No. 1, Xinzao Road, Xinzao Town, Panyu District, Guangzhou, China.

Journal of neuroengineering and rehabilitation
|February 7, 2026
PubMed
まとめ

本研究では、遺伝的アルゴリズムをOpenSimに組み込んだ、新規の筋電図（EMG）駆動筋骨格モデルを提示し、個別化された生体力学的解析のための膝関節トルクと筋力を正確に推定する。

キーワード:
筋電図駆動ヒル筋モデル膝トルク筋骨格モデル大腿四頭筋

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A Novel Application of Musculoskeletal Ultrasound Imaging
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関連する実験動画

Last Updated: Feb 9, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

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Extraction of the EPP Component from the Surface EMG
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科学分野:

  • 生体力学; 筋骨格モデリング; 計算生理学

背景:

  • 対象者固有の筋骨格モデルにおける筋力と関節トルクの正確な推定は、筋パラメータ決定における課題により妨げられている。; 本研究は、遺伝的アルゴリズムとOpenSim APIを統合した筋電図（EMG）駆動モデルの方法論的な問題に対処する。

研究 の 目的:

  • 対象者固有のEMG駆動筋骨格モデルを用いて、筋力と膝関節トルクを推定する。; 予測トルクとダイナモメータ測定値を比較することにより、モデルの精度を検証する。

主な方法:

  • ヒル筋モデルを採用し、フィルタリングされたEMGデータを入力として膝トルクを計算した。; モデルは、トルク予測誤差を最小化するために遺伝的シミュレーテッドアニーリングアルゴリズムによって調整された最適筋線維長および腱スラック長などのパラメータを組み込んだ。; 大腿四頭筋からの表面EMGデータを、8人の参加者から、様々な関節角度での等尺性膝運動中に記録した。

主要な成果:

  • 提案されたEMG駆動モデルは高い精度を達成し、全体的な平均二乗平均平方根（RMS）誤差は3.7 Nm、決定係数（R-squared）は0.97であった。; 主要な筋パラメータを同時に調整したところ、シミュレートされたトルク曲線は測定されたトルク曲線と密接に一致した。

結論:

  • 対象者固有の適切に較正された筋骨格モデルは、筋力および膝関節トルクの予測精度を大幅に向上させる。; 開発された方法は、膝の個別化された筋腱ユニット（MTU）パラメータを高精度かつ最小限のエラーで生成するための実現可能性を示す。