Electromyographic Activity of the Upper Limb in Three Hand Function Tests

Functional level and its relationship to upper extremity function, pain, and muscle stiffness in children with Duchenne muscular dystrophy

BACKGROUND

The progressive symptoms of Duchenne muscular dystrophy (DMD) negatively affect upper extremity skills, and this may have an effect that reduces the independence of daily life.

AIMS

The purpose of this study is to investigate the relationship between functional level and upper extremity function, pain, and stiffness in children with DMD.

METHODS

A total of 38 children with DMD were participated. The functional level of the upper and lower extremities was assessed using Brooke scale and Vignos scale. Upper extremity function, pain and stiffness were assessed using Upper Limb Short Questionnaire (ULSQ). The correlation between ULSQ and Brooke and Vignos scales was calculated.

RESULTS

A moderate positive correlation was calculated between ULSQ total scores and Vignos scale (r = 0.52, p < 0.001) and Brooke scale (r = 0.65, p < 0.001). There was a moderate positive correlation between Vignos scale scores and ULSQ subscores of function (r = 0.42, p < 0.05) and stiffness (r = 0.56, p < 0.001); no significant correlation was found between pain scores and Vignos scale (p = 0.053). There was a moderate positive correlation between the function (r = 0.54, p < 0.001), pain (r = 0.40, p < 0.05), and stiffness (r = 0.62, p < 0.001) subscores of the ULSQ with the Brooke scale.

CONCLUSION

In our study, there was a significant relationship between the functional level of patients with DMD and upper extremity function, pain, and muscle stiffness.

Analysis on synergistic cocontraction of extrinsic finger flexors and extensors during flexion movements: A finite element digital human hand model

Fine hand movements require the synergistic contraction of intrinsic and extrinsic muscles to achieve them. In this paper, a Finite Element Digital Human Hand Model (FE-DHHM) containing solid tendons and ligaments and driven by the Muscle-Tendon Junction (MTJ) displacements of FDS, FDP and ED measured by ultrasound imaging was developed. The synergistic contraction of these muscles during the finger flexion movements was analyzed by simulating five sets of finger flexion movements. The results showed that the FDS and FDP contracted together to provide power during the flexion movements, while the ED acted as an antagonist. The peak stresses of the FDS, FDP and ED were all at the joints. In the flexion without resistance, the FDS provided the main driving force, and the FDS and FDP alternated in a "plateau" of muscle force. In the flexion with resistance, the muscle forces of FDS, FDP, and ED were all positively correlated with fingertip forces. The FDS still provided the main driving force, but the stress maxima occurred in the FDP at the DIP joint.

Muscle recruitment and coordination during upper-extremity functional tests

Performance-based tests, such as the Jebsen Taylor Hand Function Test or Chedoke Arm and Hand Activity Inventory, are commonly used to assess functional performance after neurologic injury. However, the muscle activity required to execute these tasks is not well understood, even for unimpaired individuals. The purpose of this study was to evaluate unimpaired muscle recruitment and coordination of the dominant and non-dominant limbs during common clinical tests. Electromyography (EMG) recordings from eight arm muscles were monitored bilaterally for twenty unimpaired participants while completing these tests. Average signal magnitudes, activation times, and cocontraction levels were calculated from the filtered EMG data, normalized by maximum voluntary isometric contractions (MVICs). Overall, performance of these functional tests required low levels of muscle activity, with average EMG magnitudes less than 6.5% MVIC for all tests and muscles, except the extensor digitorum, which had higher activations across all tasks (11.7 ± 2.7% MVIC, dominant arm). When averaged across participants, cocontraction was between 25 and 62% for all tests and muscle pairs. Tasks evaluated by speed of completion, rather than functional quality of movement demonstrated higher levels of muscle recruitment. These results provide baseline measurements that can be used to evaluate muscle-specific deficits after neurologic injury and track recovery using common clinical tests.