INERTIAL SENSOR-BASED MOTION ANALYSIS SYSTEM OF BRIDGE-STYLE MOVEMENT FOR REHABILITATION TREATMENTS

Author:

ZHANG GUANGSHUAI12ORCID,WANG CHUNBAO1342,LONG JIANJUN3,LIU QUANQUAN342,WEI JIANJUN1,DUAN LIHONG342,LUO CHENGKAI12,ZHANG XIN5,WANG YULONG3,WANG GUANGYI3,WU ZHENGZHI4

Affiliation:

1. School of Mechanical and Transportation Engineering, Guangxi University of Science and Technology, Liuzhou, Guangxi, P. R. China

2. MK Smart Robotics Co., Ltd., Shenzhen, Guangdong, P. R. China

3. Department of Neurology, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, P. R. China

4. Shenzhen Institute of Geriatrics, Shenzhen, Guangdong, P. R. China

5. Shenzhen Dapeng New District, Nan’Ao People’s Hospital, Guangdong, P. R. China

Abstract

In the clinical course of the treatment, impartial representation of the patients’ rehabilitation state is a necessary condition for taking the best treatment to match the state of the current recovery. Bridge-style movement is one of the earliest training programs of the bed position change and is also the basis of successful standing and walking training because the bridge-style movement can inhibit the spasticity pattern of lower limb extensors and improve the control and coordination ability from the pelvis to lower limb. However, patients’ bridge-style movement planning for the current rehabilitation state largely depends on therapists’ clinical experience and subjective that may deteriorate the rehabilitation effect. Thus, it is necessary for hemiplegic patients to develop quantitative motor function assessment to judge its current rehabilitation state. This paper proposes a quantitative evaluating method to detect patients’ bridge-style movement posture and analyze their motion abilities. The real-time postural change of the bridge-style movement can be acquired by the inertial sensors attached to the waist, thigh, and crus. The bridge-style movement process of patients is recorded and analyzed by the software processing program. Finally, the experiment can be carried out to verify the feasibility and correctness of the evaluation method. The experimental results show that the evaluation method can judge patients’ current motion ability and rehabilitation state. And it is helpful for therapists to carry out targeted training for patients’ state.

Funder

National Natural Science Foundation of China

Applied Basic Research Foundation of Yunnan Province

Natural Science Foundation of Guangdong Province

Technology Research Foundation of Basic Research Project of Shenzhen

Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology

Publisher

World Scientific Pub Co Pte Ltd

Subject

Biomedical Engineering

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