Anselmino Eugenio, Pittoni Lorenzo, Ciapetti Tommaso, Piazzini Michele, Macchi Claudio, Mazzoni Alberto, Micera Silvestro, Forner-Cordero Arturo
Department of Excellence in Robotics and AI, Scuola Superiore Sant'AnnaThe BioRobotics Institute 56127 Pisa Italy.
Department of ElectronicsInformation and BioengineeringPolitecnico di Milano 20133 Milano Italy.
IEEE Open J Eng Med Biol. 2024 Nov 8;6:168-175. doi: 10.1109/OJEMB.2024.3493619. eCollection 2025.
The experimental study of the stumble phenomena is essential to develop novel technological solutions to limit harmful effects in at-risk populations. A versatile platform to deliver realistic and unanticipated tripping perturbations, controllable in their strength and timing, would be beneficial for this field of study. We built a modular tripping-eliciting system based on multiple compliant trip blocks that deliver unanticipated tripping perturbations. The system was validated with a study with 9 healthy subjects. The system delivered 33 out of 34 perturbations (a minimum of 3 per subject) during the desired gait phase, and 31 effectively induced a tripping event. The recovery strategies adopted after the perturbations were qualitatively consistent with the literature. The analysis of the inertial motion unit signals and the questionnaires suggests a limited adaptation to the perturbation throughout experiments. The platform succeeded in providing realistic trip perturbations, concurrently limiting subjects' adaptation. The presence of multiple compliant obstacles, tunable regarding position and perturbation strength, represents a novelty in the field, allowing the study of stumbling phenomena caused by obstacles with different levels of sturdiness. The overall system is modular and can be easily adapted for different applications.
对绊倒现象进行实验研究对于开发新的技术解决方案以限制高危人群的有害影响至关重要。一个能够提供强度和时间可控的逼真且意外绊倒扰动的通用平台,将对该研究领域有益。我们构建了一个基于多个柔性绊倒块的模块化绊倒诱发系统,该系统能提供意外的绊倒扰动。该系统通过对9名健康受试者的研究进行了验证。在期望的步态阶段,该系统在34次扰动中成功诱发了33次(每位受试者至少3次),且31次有效地引发了绊倒事件。扰动后采用的恢复策略在定性上与文献一致。对惯性运动单元信号和问卷的分析表明,在整个实验过程中对扰动的适应性有限。该平台成功地提供了逼真的绊倒扰动,同时限制了受试者的适应性。多个柔性障碍物的存在,其位置和扰动强度可调,代表了该领域的一项创新,能够研究由不同坚固程度的障碍物引起的绊倒现象。整个系统是模块化的,可轻松适应不同的应用。