Time-frequency coherence of categorized sEMG data during dynamic contractions of biceps, triceps, and brachioradialis as an approach for spasticity detection
| Autor: | A.-K. Lassek, Catherine Disselhorst-Klug, S. von Werder, Sebastian Becker |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Dynamic contractions medicine.medical_specialty 0206 medical engineering Biomedical Engineering Brachioradialis Angular velocity 02 engineering and technology Biceps 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation medicine Spastic Humans Spasticity Muscle Skeletal Aged Mathematics Electromyography Signal Processing Computer-Assisted Middle Aged 020601 biomedical engineering Computer Science Applications Time–frequency analysis Categorization Muscle Spasticity Arm Female medicine.symptom Algorithms Muscle Contraction |
| Zdroj: | Medical & Biological Engineering & Computing. 57:703-713 |
| ISSN: | 1741-0444 0140-0118 |
| Popis: | The assessment of muscular interactions between biceps, triceps, and brachioradialis can be used as an approach for the detection of spasticity in the upper limbs. A crucial prerequisite for the aforementioned validation of muscular interactions is the calculation of time frequencies due to the non-stationary characteristics of electromyographic (EMG) signals and thus the estimation of coherences. Adding biomechanical parameters increases the validity of the assessment process and simplifies the comparison of EMG data as a result of categorization. In this numerical-experimental study, a method will be introduced by using the smoothed pseudo Wigner-Ville distribution and a categorization algorithm to estimate and categorize coherences between biceps, triceps, and brachioradialis during dynamic contractions. The categorization will be performed according to the type of contraction, external load, joint angle, and angular velocity and will be used to assess 10 healthy subjects and 6 patients with spasticity. Generally, the introduced method shows the velocity dependence of coherence during spasticity in extension movements as well as much stronger muscular co-activation between triceps, biceps, and brachioradialis in spastic patients in comparison to healthy subjects. Furthermore, the influence of variables e.g. as joint angle, angular velocities, and type of contraction on the coherence is quantified. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink