Sen Qiu
Personal Homepage
Paper Publications
IMU-based Gait Analysis for Rehabilitation Assessment of Patients with Gait Disorders
Hits:

Indexed by:会议论文

Date of Publication:2017-01-01

Included Journals:SCIE、CPCI-S

Page Number:622-626

Key Words:gait analysis; gait disorders; MEMS IMU; inertial sensors; rehabilitation assessment

Abstract:Gait disorders may easily be recognized by a health care professional. However, quantification of these abnormalities would be desirable for diagnostic and therapeutic use. A gait analysis system constructed of dual foot-mounted Inertial Measurement Units (IMUs) has been developed in this paper, which can be referred to as an Inertial Navigation System (INS). Such system can provide an effective way for estimating gait parameters, by using an inequality-constrained Zero-Velocity-Updates (ZUPT)-aided INS algorithm. Based on the quantified gait parameters, gait performance can be characterized to assess the rehabilitation process of patients with gait disorders. Experiments were performed during level walking along a straight-line, which has less requirements for the working environment compared with that using an optical motion capture system. For comparison purpose, both healthy subjects and cerebral thrombosis patients are recruited. The experiment results demonstrated that gait analysis with foot-mounted IMUs could give a close examination of the gait disorders, which may be helpful to the health care professionals during the course of their treatment plan.

Personal information

Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Main positions:控制科学与工程学院副院长

Other Post:中国电子教育学会高等教育分会理事、辽宁省药学会专委会副主任委员

Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:控制科学与工程学院

Discipline:Control Theory and Control Engineering

Business Address:海山楼 A11326

Contact Information:+86 壹355683491陆

Click:

Open time:..

The Last Update Time:..


Address: No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, P.R.C., 116024

MOBILE Version