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通过肌肉激活模拟损伤相关运动学的计算模型验证——在全身麻醉下获取数据。

Validation of computational models simulating injury-related kinematics with muscle activation - obtaining data under general anaesthesia.

作者信息

Siebler Lea, Thaler Sarah, Muehlbauer Julia, Peldschus Steffen, Groene Philipp, Schick Sylvia, Schaefer Simon T

机构信息

Biomechanics and Accident Analysis, University of Munich LMU, Munich, Germany.

Clinic for Anaesthesiology, University of Munich LMU, Munich, Germany.

出版信息

Int J Legal Med. 2025 Aug 12. doi: 10.1007/s00414-025-03577-0.

Abstract

Reconstructing injury-related movements and reactions in forensic biomechanics (e.g. abusive head trauma, whiplash, or falls) requires biofidelic representations of the human body. Muscle tone and activity can be integrated into these computational human body models. However, obtaining high-quality data on passive joint behaviour, which is crucial for ensuring accurate simulation results, remains challenging. A challenge in volunteer experiments is the high kinematic variability affecting passive responses. This study investigates differences in gravity-induced knee flexion between anaesthetised and awake subjects, aiming to clarify how muscle tone influences passive behaviour. Knee flexion kinematics and vastus lateralis activity were measured in eleven patients scheduled for surgery. Three tests were performed while patients were awake, two following propofol sedation, and three after administering a muscle relaxant. In awake trials, median duration to reach 47° knee flexion was 404 ms, compared to 355 ms for anaesthetised and 349 ms for anaesthetised + relaxed. Significant differences were found between anaesthetised + relaxed (p = < 0.001) and between anaesthetised + relaxed versus anaesthetised (p = 0.004). Only 15% of awake trials showed no measurable muscular activity. The results indicate significant muscle tension that cannot be detected by EMG and cannot be suppressed in awake patients. This study explores the differences in gravity-induced knee flexion between anaesthetised and awake subjects, focusing on how muscle tone impacts passive responses amidst the challenges of high kinematic variability. This study offers reference data for future validation and shows how involuntary activity in non-anaesthetised subjects can enhance computational models for addressing scenarios like abusive head trauma or falls.

摘要

在法医生物力学中重建与损伤相关的运动和反应(例如虐待性头部创伤、鞭打损伤或跌倒)需要人体的生物逼真模型。肌肉张力和活动可以整合到这些人体计算模型中。然而,获取关于被动关节行为的高质量数据对于确保准确的模拟结果至关重要,而这仍然具有挑战性。志愿者实验中的一个挑战是影响被动反应的高运动变异性。本研究调查了麻醉状态和清醒状态下重力诱导的膝关节屈曲差异,旨在阐明肌肉张力如何影响被动行为。对11名计划接受手术的患者测量了膝关节屈曲运动学和股外侧肌活动。在患者清醒时进行了三项测试,在丙泊酚镇静后进行了两项测试,在使用肌肉松弛剂后进行了三项测试。在清醒试验中,达到47°膝关节屈曲的中位持续时间为404毫秒,相比之下,麻醉状态下为355毫秒,麻醉加肌肉松弛剂状态下为349毫秒。在麻醉加肌肉松弛剂状态与清醒状态之间(p = <0.001)以及麻醉加肌肉松弛剂状态与麻醉状态之间(p = 0.004)发现了显著差异。只有15%的清醒试验显示没有可测量的肌肉活动。结果表明存在显著的肌肉张力,肌电图无法检测到,并且在清醒患者中无法被抑制。本研究探讨了麻醉状态和清醒状态下重力诱导的膝关节屈曲差异,重点关注在高运动变异性挑战中肌肉张力如何影响被动反应。本研究为未来的验证提供了参考数据,并展示了非麻醉受试者的非自愿活动如何增强计算模型,以应对虐待性头部创伤或跌倒等情况。

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