利用可穿戴传感器进行步态分析

Tanmay Bhosale, Hemant Kudale, Varun Kumthekar, Shreyash Garude, P. Dhumal
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引用次数: 4

摘要

步态分析是目前应用最广泛的一种分析患者行走方式和发现问题的技术。除了分析人的步态周期外,另一个重要的应用是检查假肢腿的可靠性和兼容性(检查假肢腿的屈伸)。它用于检测物理治疗科学中与姿势和运动有关的各种问题。我们研究的主要目的是使这项技术在保持可靠性和效率的同时,以低成本方便地为每个人所用。我们采用的技术主要是利用陀螺仪传感器测量不同的步态参数(即不同关节的角度)。我们在腿的不同关节位置(脚踝,膝盖和臀部)安装了3个陀螺仪传感器,并使用I2C通信协议从这些陀螺仪传感器获取读数。我们使用MSP430F5257作为我们的中央处理器。在测试了不同的样品并分析了可用的数据后,我们发现我们的传感器可靠且相当准确。这有力地支持使用我们的陀螺仪为基础的系统来分析步态周期的医疗用途。
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Gait analysis using wearable sensors
Gait analysis is currently the most widely used technique for analyzing the walking pattern of patients and detecting the problems. Besides analysing the gait cycle of human being, another important application is to check the reliability and compatibility of prosthetic legs (check the flexion and extension of prosthetic legs). It is used for detecting the different problems related to posture and movement in physiotherapy science. The main aim of our research was to make this technique easily available to everyone at low cost while maintaining the reliability and efficiency. The technique which we followed focused on measuring the different gait parameters (i.e. angle of different joints) by using gyro sensors. We mounted 3 gyro sensors at different joint positions of leg (ankle, knee and hip) and took readings from those gyro sensors using I2C communication protocol. We used MSP430F5257 as our central processor. After testing different samples and analysing the data available we found our sensor reliable and quite accurate. This strongly supports the use of our Gyro based system for analyzing Gait cycle for medical usage.
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