@inproceedings{aa74f75046104765ba2283bf18642822,
title = "A novel automatic diagnosis based physical therapy for duchenne muscular dystrophy children",
abstract = "Duchenne Muscular Dystrophy (DMD) is a progressive X-linked genetic neuromuscular disorder which could contribute to mobility reduction and joints deformation. Current treatment including drug delivery and passive ankle-foot orthosis with elastic elements is demonstrated either with little effect or with increasing frequency of falling. In this study, we proposed a novel automatic diagnosis and an active physical therapy for DMD children. An IMU suit based inertial motion capture system combining with sEMG sensors is proposed to diagnose and monitor the progress of DMD based on gait features and weakness of specific muscles so that long-term observation by doctors could be saved, which could also be used to auto-tuning the active assistance by the exoskeleton we designed. And a conceptual design of a lightweight off-board exoskeleton with soft materials and elastic bands is proposed with assist-as-need control strategy. This automatic diagnosing method and lightweight exoskeleton could offer a novel treatment system and tool for DMD.",
keywords = "Ankle, DMD, Exoskeleton, Hip, IMU, Inertial motion capture, SEMG",
author = "Chunzhi Yi and Ningling Ma and Chifu Yang and Hao Guo and Jiahong Han and Hefu Gao and Xiang Li and Feng Jiang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd IEEE International Conference on Data Science in Cyberspace, DSC 2018 ; Conference date: 18-06-2018 Through 21-06-2018",
year = "2018",
month = jul,
day = "16",
doi = "10.1109/DSC.2018.00088",
language = "英语",
series = "Proceedings - 2018 IEEE 3rd International Conference on Data Science in Cyberspace, DSC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "547--552",
booktitle = "Proceedings - 2018 IEEE 3rd International Conference on Data Science in Cyberspace, DSC 2018",
address = "美国",
}