The investigation of an analysis method for co-activation of knee osteoarthritis utilizing normalization of peak dynamic method.
Gait Posture
; 101: 48-54, 2023 03.
Article
em En
| MEDLINE
| ID: mdl-36724656
ABSTRACT
BACKGROUND:
Assessing co-activation characteristics in knee osteoarthritis (knee OA) using method of quantification of the activity ratio (such as the co-contraction index (CCI) or the directed co-activation ratios (DCAR)) for surface electromyography (EMG) has been reported. However, no studies have discussed the differences in results between non-negative matrix factorization (NNMF) and the DCAR. RESEARCH QUESTION Does DCAR or NNMF reflect the characteristic co-activation pattern of knee OA while using EMG normalized by the peak dynamic method?METHODS:
Ten elderly control participants (EC) and ten knee OA patients (KOA) volunteered to participate in this study. EMG data from 20 participants were obtained from our previous study. Patients with knee OA were recruited from a local orthopedic clinic. The DCAR of agonist and antagonist muscles and the number of modules using NNMF were calculated to evaluate multiple muscle co-activations. An independent t-test statistical parametric mapping approach was used to compare the DCAR between the two groups. The difference in the number of modules between EC and KOA was evaluated using the Wilcoxon rank-sum test.RESULTS:
There was no significant difference in the DCAR between the two groups. However, NNMF had significantly fewer modules with KOA than with EC.SIGNIFICANCE:
The NNMF with the ratio of the amplitude of each muscle and duration of activity as variables reflected the co-activation of KOA, characterized by the high synchronous and prolonged activity of each muscle. Therefore, the NNMF is suitable for extracting characteristic muscle activity patterns of knee OA independent of the normalization method.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Osteoartrite do Joelho
Limite:
Aged
/
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article