开发一种可穿戴框架,用于评估现场基于机械的风险下降指标

IF 5.6 4区 医学 Q1 ENGINEERING, BIOMEDICAL
Irbm Pub Date : 2023-04-01 DOI:10.1016/j.irbm.2022.11.003
H. Pillet , B. Watier
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引用次数: 0

摘要

步态不稳定性的表征是当前生物力学的一个挑战。事实上,自然跌倒的风险源于难以控制运动模式的扰动。因此,能够实时量化不稳定性的合成参数的评估将有助于防止在这种情况下发生跌倒。因此,本研究的目的分两步,提出并评估一个相关参数,以量化跌倒风险。材料和方法在实验室条件下,对11名身体健全的受试者的步态进行了实验分析。身体质心(BCOM)到最小力矩轴(MMA)的距离被计算为全身角动量变化的代理。在第二步中,我们使用固定在两个人(一个身体健全的人和一个经股截肢的人)身上的可穿戴惯性测量单元(IMU)量化步态过程中的运动学。我们将基于IMU的BCOM运动学与运动捕捉参考系统进行了比较,以验证我们在现场测量的准确性。结果评定了健全水平步行时身体重心(BCOM)到最小力矩轴(MMA)距离的规范阈值。根据IMU和参考vicon数据计算的BCoM位移之间的平均误差分别为4 mm、3 mm和53 mm,在中、前后和垂直轴上。结论所有这些结果使中期考虑跌倒风险的确定成为可能。研究在简化设备的同时保持性能的最佳配置对于使其为个人所接受至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of a Wearable Framework for the Assessment of a Mechanical-Based Indicator of Falling Risk in the Field

Development of a Wearable Framework for the Assessment of a Mechanical-Based Indicator of Falling Risk in the Field

Objectives

The characterization of the instability of gait is a current challenge of biomechanics. Indeed, risks of falling naturally result from the difficulty to control perturbations of the locomotion pattern. Hence, the assessment of a synthetic parameter able to quantify the instability in real time will be useful for the prevention of falls occurring in this context. Thus, the objective of the present study, in two steps, was to propose and evaluate a relevant parameter to quantify the risk of fallings.

Material and Methods

Experimental analysis of the gait of 11 able-bodied subjects from a motion capture system in laboratory condition was performed. The distance of the Body Center of Mass (BCOM) to the Minimal Moment Axis (MMA) was computed as a proxy of whole-body angular momentum variations. In a second step, we quantified the kinematics during gait with wearable Inertial Measurement Units (IMU) fixed on two individuals (one able bodied person and one person with transfemoral amputation). We compared the IMU-based BCOM kinematics with a motion capture reference system to verify the accuracy of our measures in the field.

Results

Normative thresholds of the distance of the Body Center of Mass (BCOM) to the Minimal Moment Axis (MMA) during able-bodied level walking were assessed. The average error between the BCoM displacement computed from the IMU and from the reference vicon data of 4 mm, 3 mm and 53 mm on the mediolateral, anteroposterior and vertical axes respectively.

Conclusion

All these results make it possible to consider the determination of the risks of falls in the field at mid-term. the research on an optimal configuration that maintain the performance while simplifying the device will be essential to make it acceptable by the individuals.

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来源期刊
Irbm
Irbm ENGINEERING, BIOMEDICAL-
CiteScore
10.30
自引率
4.20%
发文量
81
审稿时长
57 days
期刊介绍: IRBM is the journal of the AGBM (Alliance for engineering in Biology an Medicine / Alliance pour le génie biologique et médical) and the SFGBM (BioMedical Engineering French Society / Société française de génie biologique médical) and the AFIB (French Association of Biomedical Engineers / Association française des ingénieurs biomédicaux). As a vehicle of information and knowledge in the field of biomedical technologies, IRBM is devoted to fundamental as well as clinical research. Biomedical engineering and use of new technologies are the cornerstones of IRBM, providing authors and users with the latest information. Its six issues per year propose reviews (state-of-the-art and current knowledge), original articles directed at fundamental research and articles focusing on biomedical engineering. All articles are submitted to peer reviewers acting as guarantors for IRBM''s scientific and medical content. The field covered by IRBM includes all the discipline of Biomedical engineering. Thereby, the type of papers published include those that cover the technological and methodological development in: -Physiological and Biological Signal processing (EEG, MEG, ECG…)- Medical Image processing- Biomechanics- Biomaterials- Medical Physics- Biophysics- Physiological and Biological Sensors- Information technologies in healthcare- Disability research- Computational physiology- …
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