Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. 14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings

Research Article

Using Distributed Wearable Inertial Sensors to Measure and Evaluate the Motions of Children with Cerebral Palsy in Hippotherapy

  • @INPROCEEDINGS{10.1007/978-3-030-34833-5_25,
        author={Sen Qiu and Jie Li and Zhelong Wang and Hongyu Zhao and Bing Liang and Jiaxin Wang and Ning Yang and Xin Shi and Ruichen Liu and Jinxiao Li and Xiaoyang Li},
        title={Using Distributed Wearable Inertial Sensors to Measure and Evaluate the Motions of Children with Cerebral Palsy in Hippotherapy},
        proceedings={Body Area Networks:  Smart IoT and Big Data for Intelligent Health Management. 14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings},
        proceedings_a={BODYNETS},
        year={2019},
        month={11},
        keywords={Body sensor network Hippotherapy Gait analysis Sensor fusion Rehabilitation therapy},
        doi={10.1007/978-3-030-34833-5_25}
    }
    
  • Sen Qiu
    Jie Li
    Zhelong Wang
    Hongyu Zhao
    Bing Liang
    Jiaxin Wang
    Ning Yang
    Xin Shi
    Ruichen Liu
    Jinxiao Li
    Xiaoyang Li
    Year: 2019
    Using Distributed Wearable Inertial Sensors to Measure and Evaluate the Motions of Children with Cerebral Palsy in Hippotherapy
    BODYNETS
    Springer
    DOI: 10.1007/978-3-030-34833-5_25
Sen Qiu1,*, Jie Li1,*, Zhelong Wang1,*, Hongyu Zhao1,*, Bing Liang2,*, Jiaxin Wang1,*, Ning Yang1,*, Xin Shi1,*, Ruichen Liu1,*, Jinxiao Li1,*, Xiaoyang Li3,*
  • 1: Dalian University of Technology
  • 2: Suzhou Industrial Park Boai School & Clinic
  • 3: Dalian Qiyu Ipony Equestrian Club Co., Ltd.
*Contact email: qiu@dlut.edu.cn, 1165530693@mail.dlut.edu.cn, wangzl@dlut.edu.cn, zhy.lucy@hotmail.com, jsboai@163.com, wangjx19890828@mail.dlut.edu.cn, yangn_Y@mail.dlut.edu.cn, sx@mail.dlut.edu.cn, Lrichard@mail.dlut.edu.cn, kindawnli@163.com, 3188812@qq.com

Abstract

Cerebral palsy (CP) is a group of nonprogressive neuro-developmental conditions occurring in early childhood that causes movement disorders and physical disability. Measuring activity levels and gait patterns is an important aspect of rehabilitation programs for CP. Hippotherapy is a rehabilitation method to improve motor coordination ability of children with CP. However, there is still no practical evidence for the effectiveness of hippotherapy. This paper introduces a method of motor measurement and evaluation for children with CP based on body area sensor network. Our method uses wearable inertial sensors to measure the motor function of children with CP by sensor fusion algorithm, whose accuracy is verified by optical system. In addition, via introducing the control group, the differences of motor coordination ability and gait parameters between CP and healthy children were discussed. Generally speaking, our method can effectively measure the movement posture and gait parameters of children with CP during hippotherapy, which provides a basis for proving the effectiveness of hippotherapy.