TY - JOUR
T1 - Classification of ankle joint stiffness during walking to determine the use of ankle foot orthosis after stroke
AU - Sekiguchi, Yusuke
AU - Honda, Keita
AU - Owaki, Dai
AU - Izumi, Shin Ichi
N1 - Funding Information:
This research was funded by Grant-in-Aid for Scientific Research (B), grant number JP20H04260, and NEC Corporation.Acknowledgments: We would like to thank the staff at the Department of Physical Medicine and Rehabilitation at Tohoku University for their advice and help.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/11
Y1 - 2021/11
N2 - Categorization based on quasi-joint stiffness (QJS) may help clinicians select appropriate ankle foot orthoses (AFOs). The objectives of the present study were to classify the gait pattern based on ankle joint stiffness, also called QJS, of the gait in patients after stroke and to clarify differences in the type of AFO among 72 patients after stroke. Hierarchical cluster analysis was used to classify gait patterns based on QJS at least one month before the study, which revealed three distinct subgroups (SGs 1, 2, and 3). The proportion of use of AFOs, articulated AFOs, and non-articulated AFOs were significantly different among SGs 1–3. In SG1, with a higher QJS in the early and middle stance, the proportion of the patients using articulated AFOs was higher, whereas in SG3, with a lower QJS in both stances, the proportion of patients using non-articulated AFOs was higher. In SG2, with a lower QJS in the early stance and higher QJS in the middle stance, the proportion of patients using AFOs was lower. These findings indicate that classification of gait patterns based on QJS in patients after stroke may be helpful in selecting AFO. However, large sample sizes are required to confirm these results.
AB - Categorization based on quasi-joint stiffness (QJS) may help clinicians select appropriate ankle foot orthoses (AFOs). The objectives of the present study were to classify the gait pattern based on ankle joint stiffness, also called QJS, of the gait in patients after stroke and to clarify differences in the type of AFO among 72 patients after stroke. Hierarchical cluster analysis was used to classify gait patterns based on QJS at least one month before the study, which revealed three distinct subgroups (SGs 1, 2, and 3). The proportion of use of AFOs, articulated AFOs, and non-articulated AFOs were significantly different among SGs 1–3. In SG1, with a higher QJS in the early and middle stance, the proportion of the patients using articulated AFOs was higher, whereas in SG3, with a lower QJS in both stances, the proportion of patients using non-articulated AFOs was higher. In SG2, with a lower QJS in the early stance and higher QJS in the middle stance, the proportion of patients using AFOs was lower. These findings indicate that classification of gait patterns based on QJS in patients after stroke may be helpful in selecting AFO. However, large sample sizes are required to confirm these results.
KW - Ankle joint
KW - Categorization
KW - Gait
KW - Orthosis
KW - Quasi-joint stiffness
KW - Stroke
UR - http://www.scopus.com/inward/record.url?scp=85119657700&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119657700&partnerID=8YFLogxK
U2 - 10.3390/brainsci11111512
DO - 10.3390/brainsci11111512
M3 - Article
AN - SCOPUS:85119657700
VL - 11
JO - Brain Sciences
JF - Brain Sciences
SN - 2076-3425
IS - 11
M1 - 1512
ER -