Ahn DaeHan, Chung Hyerim, Lee Ho-Won, Kang Kyunghun, Ko Pan-Woo, Kim Nam Sung, Park Taejoon
IEEE Trans Biomed Eng. 2017 Oct;64(10):2394-2402. doi: 10.1109/TBME.2017.2655344. Epub 2017 Jan 19.
Parkinson's disease (PD) is a chronic progressive disease caused by loss of dopaminergic neurons in the substantia nigra, degenerating the nervous system of a patient over time. Freezing of gait (FOG), which is a form of akinesia, is a symptom of PD. Meanwhile, recent studies show that the gait of PD patients experiencing FOG can be significantly improved by providing the regular visual or auditory patterns for the patients. In this paper, we propose a gait-aid system built upon smart glasses. Our system continuously monitors the gait and so on of a PD patient to detect FOG, and upon detection of FOG it projects visual patterns on the glasses as if the patterns were actually on the floor. Conducting experiments involving ten PD patients, we demonstrate that our system achieves the accuracy of 92.86 % in detecting FOG episodes and that it improves the gait speed and stride length of PD patients by 15.3 ∼ 37.2% and 18.7 ∼ 31.7%, respectively.
帕金森病(PD)是一种慢性进行性疾病,由黑质中多巴胺能神经元的丧失引起,随着时间的推移使患者的神经系统退化。冻结步态(FOG)是运动不能的一种形式,是帕金森病的一种症状。同时,最近的研究表明,通过为经历冻结步态的帕金森病患者提供规则的视觉或听觉模式,可以显著改善他们的步态。在本文中,我们提出了一种基于智能眼镜构建的步态辅助系统。我们的系统持续监测帕金森病患者的步态等以检测冻结步态,一旦检测到冻结步态,它就在眼镜上投射视觉模式,就好像这些模式实际在地面上一样。通过对10名帕金森病患者进行实验,我们证明我们的系统在检测冻结步态发作时的准确率达到92.86%,并且它分别将帕金森病患者的步态速度和步幅提高了15.3%至37.2%和18.7%至31.7%。