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经股截肢者身体质心的三维加速度:最小身体节段网络的识别

Three-dimensional acceleration of the body center of mass in people with transfemoral amputation: Identification of a minimal body segment network.

作者信息

Simonetti Emeline, Bergamini Elena, Bascou Joseph, Vannozzi Giuseppe, Pillet Hélène

机构信息

Institution Nationale des Invalides (INI) / CERAH, 47 rue de l'Echat, 94000, Créteil, France; Arts et Métiers ParisTech/ Institut de Biomécanique Humaine Georges Charpak, 151 boulevard de l'Hôpital, 75013, Paris, France; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System (BOHNES), Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Piazza Lauro de Bosis, 6, 00135, Rome, Italy.

Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System (BOHNES), Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Piazza Lauro de Bosis, 6, 00135, Rome, Italy.

出版信息

Gait Posture. 2021 Oct;90:129-136. doi: 10.1016/j.gaitpost.2021.08.017. Epub 2021 Aug 26.

Abstract

BACKGROUND

The analysis of biomechanical parameters derived from the body center of mass (BCoM) 3D motion allows for the characterization of gait impairments in people with lower-limb amputation, assisting in their rehabilitation. In this context, magneto-inertial measurement units are promising as they allow to measure the motion of body segments, and therefore potentially of the BCoM, directly in the field. Finding a compromise between the accuracy of computed parameters and the number of required sensors is paramount to transfer this technology in clinical routine.

RESEARCH QUESTION

Is there a reduced subset of instrumented segments (BSN) allowing a reliable and accurate estimation of the 3D BCoM acceleration transfemoral amputees?

METHODS

The contribution of each body segment to the BCoM acceleration was quantified in terms of weight and similarity in ten people with transfemoral amputation. First, body segments and BCoM accelerations were obtained using an optoelectronic system and a full-body inertial model. Based on these findings, different scenarios were explored where the use of one sensor at pelvis/trunk level and of different networks of segment-mounted sensors for the BCoM acceleration estimation was simulated and assessed against force plate-based reference acceleration.

RESULTS

Trunk, pelvis and lower-limb segments are the main contributors to the BCoM acceleration in transfemoral amputees. The trunk and shanks BSN allows for an accurate estimation of the sagittal BCoM acceleration (Normalized RMSE ≤ 13.1 %, Pearson's correlations r ≥ 0.86), while five segments are necessary when the 3D BCoM acceleration is targeted (Normalized RMSE ≤ 13.2 %, Pearson's correlations r ≥ 0.91).

SIGNIFICANCE

A network of three-to-five segments (trunk and lower limbs) allows for an accurate estimation of 2D and 3D BCoM accelerations. The use of a single pelvis- or trunk-mounted sensor does not seem advisable. Future studies should be performed to confirm these results where inertial sensor measured accelerations are considered.

摘要

背景

对源自身体重心(BCoM)三维运动的生物力学参数进行分析,有助于表征下肢截肢者的步态损伤,为其康复提供帮助。在此背景下,磁惯性测量单元很有前景,因为它们能够直接在现场测量身体各节段的运动,进而有可能测量身体重心的运动。在计算参数的准确性与所需传感器数量之间找到平衡,对于将该技术应用于临床常规至关重要。

研究问题

是否存在一个简化的仪器化节段子集(BSN),能够可靠且准确地估计经股骨截肢者的三维身体重心加速度?

方法

在十名经股骨截肢者中,根据重量和相似性对每个身体节段对身体重心加速度的贡献进行了量化。首先,使用光电系统和全身惯性模型获取身体节段和身体重心加速度。基于这些结果,探索了不同的情况,模拟并评估了在骨盆/躯干水平使用一个传感器以及使用不同的节段安装传感器网络来估计身体重心加速度,并与基于测力板的参考加速度进行对比。

结果

在经股骨截肢者中,躯干、骨盆和下肢节段是身体重心加速度的主要贡献者。躯干和小腿的BSN能够准确估计矢状面身体重心加速度(归一化均方根误差≤13.1%,皮尔逊相关系数r≥0.86),而当目标是三维身体重心加速度时,则需要五个节段(归一化均方根误差≤13.2%,皮尔逊相关系数r≥0.91)。

意义

由三到五个节段(躯干和下肢)组成的网络能够准确估计二维和三维身体重心加速度。仅在骨盆或躯干安装一个传感器似乎不可取。未来应进行研究,以在考虑惯性传感器测量加速度的情况下确认这些结果。

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