@inproceedings{408f95afad4a4e9b97e4f7d1aa07c132,
title = "Gait analysis and classification of restricted knee based on electrostatic sensing",
abstract = "This paper presents a technique of restricted knee gait analysis and classification based on electrostatic sensing, which can be applied in home nursing of patients with exercise rehabilitation. The technique is used to monitor the electrostatic signals generated during the movement of the human body, extract the gait features under restricted knee conditions, and classify the limited angles of the knee joint to evaluate the condition of rehabilitation of the knee in family environment. This may provide a theoretical basis for the treatment of diseases of the knee rehabilitation. This paper is helpful to establish a new technique to evaluate the rehabilitation degree of knee joint disease. It has the advantages of small size, easy to use and suitable for family promotion. It has a good application prospect in family wisdom medical field.",
keywords = "Gait analysis, Human body static, Knee rehabilitation, Wisdom medical",
author = "Kai Tang and Xi Chen and Wei Wang and Pengfei Li and Junfei Yu",
year = "2017",
language = "English",
series = "Advanced Materials - TechConnect Briefs 2017",
publisher = "TechConnect",
pages = "250--253",
editor = "Fiona Case and Matthew Laudon and Fiona Case and Bart Romanowicz",
booktitle = "Biotech, Biomaterials and Biomedical - TechConnect Briefs 2017",
note = "11th Annual TechConnect World Innovation Conference and Expo, Held Jointly with the 20th Annual Nanotech Conference and Expo, and the 2017 National SBIR/STTR Conference ; Conference date: 14-05-2017 Through 17-05-2017",
}
