Department of Design Engineering and Robotics, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania.
Department of Electrical Engineering and Industrial Informatics, Polytechnic University Timisoara, 331128 Hunedoara, Romania.
Sensors (Basel). 2021 Feb 23;21(4):1537. doi: 10.3390/s21041537.
The traditional systems used in the physiotherapy rehabilitation process are evolving towards more advanced systems that use virtual reality (VR) environments so that the patient in the rehabilitation process can perform various exercises in an interactive way, thus improving the patient's motivation and reducing the therapist's work. The paper presents a VR simulator for an intelligent robotic system of physiotherapeutic rehabilitation of the ankle of a person who has had a stroke. This simulator can interact with a real human subject by attaching a sensor that contains a gyroscope and accelerometer to identify the position and acceleration of foot movement on three axes. An electromyography (EMG) sensor is also attached to the patient's leg muscles to measure muscle activity because a patient who is in a worse condition has weaker muscle activity. The data collected from the sensors are taken by an intelligent module that uses machine learning to create new levels of exercise and control of the robotic rehabilitation structure of the virtual environment. Starting from these objectives, the virtual reality simulator created will have a low dependence on the therapist, this being the main improvement over other simulators already created for this purpose.
在物理治疗康复过程中使用的传统系统正在向更先进的系统发展,这些系统使用虚拟现实 (VR) 环境,以便康复过程中的患者可以以互动的方式进行各种练习,从而提高患者的积极性并减少治疗师的工作量。本文介绍了一种用于中风后人员踝关节物理治疗康复的智能机器人系统的 VR 模拟器。该模拟器可以通过附加一个包含陀螺仪和加速度计的传感器与真实的人体受试者进行交互,以识别三轴上的脚部运动的位置和加速度。还在患者腿部肌肉上附加了一个肌电图 (EMG) 传感器,以测量肌肉活动,因为病情更严重的患者肌肉活动较弱。智能模块会采集来自传感器的数据,该模块使用机器学习来创建新的运动水平,并控制虚拟环境中的机器人康复结构。从这些目标出发,创建的虚拟现实模拟器将对治疗师的依赖程度较低,这是与为此目的已经创建的其他模拟器相比的主要改进。