Abstract
In this study, we have analysed heel strike (HS) and toe off (TO) of normal individuals and hemiplegic patients, taking advantage of output curves acquired from various sensors, and verified the validity of sensor detection methods and their effectiveness when they were used for hemiplegic gaits. Gait phase detections using three different motion sensors were valid, since they all had reliabilities more than 95%, when compared with foot velocity algorithm. Results showed that the tilt sensor and the gyrosensor could detect gait phase more accurately in normal individuals. Vertical acceleration could detect HS most accurately in hemiplegic patient group A. The gyrosensor could detect HS and TO most accurately in hemiplegic patient groups A and B. The detection of TO from all sensor signals was valid in both the patient groups A and B. However, the vertical acceleration detected HS validly in patient group A and the gyrosensor detected HS validly in patient group B.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1129-1135 |
| Number of pages | 7 |
| Journal | Computer Methods in Biomechanics and Biomedical Engineering |
| Volume | 15 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2012 |
Funding
This research was financially supported by the Ministry of Knowledge Economy (MKE) and Korea Institute for Advancement of Technology (KIAT) through the Research and Development for Regional Industry and was also financially supported by the Ministry of Education, Science Technology (MEST) and National Research Foundation of Korea (NRF) through the Human Resource Training Project for Regional Innovation.
Keywords
- functional electrical stimulation
- gait phase detection
- motion sensor
- walking assistive
ASJC Scopus subject areas
- Bioengineering
- Human-Computer Interaction
- Biomedical Engineering
- Computer Science Applications