west china medical publishers
Author
  • Title
  • Author
  • Keyword
  • Abstract
Advance search
Advance search

Search

find Author "NIU Yifan" 2 results
  • Application value of shear wave elastography in evaluating the quadriceps femoris lesions in patients with chronic obstructive pulmonary disease

    Objective To explore the clinical value of shear wave elastography in the evaluation of quadriceps femoris lesions in patients with chronic obstructive pulmonary disease (COPD). Methods Fifty-eight COPD patients who were admitted to Chengdu First People’s Hospital and 55 healthy controls were included in the study between August 2021 and February 2022. The thickness, circumference, cross-sectional area and Young's modulus of quadriceps femoris in all subjects were measured using shear wave elastography combined with conventional two-dimensional ultrasound. The differences in ultrasound parameters between the two groups were compared, and the correlation between each ultrasound parameter and clinical evaluation indicators (modified British Medical Research Council Scale, COPD Assessment Test, six-minute walk test, and five-time sit-to-stand test) was analyzed. Results Young’s modulus values of the quadriceps femoris muscle were smaller in the COPD group than those in the healthy control group [COPD Group: rectus femoris 6.72 (6.22, 7.36) kPa, vastus medialis 6.25 (5.82, 6.79) kPa, vastus lateralis 6.94 (6.17, 7.48) kPa; healthy control group: rectus femoris 11.40 (10.23, 12.11) kPa, vastus medialis 10.77 (9.62, 11.42) kPa, vastus lateralis 11.14 (10.42, 12.52) kPa]. The differences were statistically significant (all P<0.05). The Young's modulus value of the rectus femoris muscle correlates with the aforementioned clinical evaluation indicators, with positive correlation with six-minute walk distance and negative correlation with COPD Assessment Test, modified British Medical Research Council Scale, five-time sit-to-stand time (P<0.05). Quadriceps thickness, circumference, and cross-sectional area measured by conventional two-dimensional ultrasound were not significantly different between the two groups, nor were there significant correlations between each parameter and clinical parameters (P>0.05). In addition, shear wave elastography has good reproducibility in the measurement of Young's modulus in quadriceps. Conclusions Shear wave elastography can identify quadriceps lesions earlier than conventional two-dimensional ultrasound in COPD patients, and there is a significant correlation between its measurements and the clinical condition of COPD patients. Shear wave elastography may provide a simple and noninvasive method for clinical evaluation of quadriceps femoris lesions in COPD patients.

    Release date: Export PDF Favorites Scan
  • Cross subject personality assessment based on electroencephalogram functional connectivity and domain adaptation

    The research shows that personality assessment can be achieved by regression model based on electroencephalogram (EEG). Most of existing researches use event-related potential or power spectral density for personality assessment, which can only represent the brain information of a single region. But some research shows that human cognition is more dependent on the interaction of brain regions. In addition, due to the distribution difference of EEG features among subjects, the trained regression model can not get accurate results of cross subject personality assessment. In order to solve the problem, this research proposes a personality assessment method based on EEG functional connectivity and domain adaption. This research collected EEG data from 45 normal people under different emotional pictures (positive, negative and neutral). Firstly, the coherence of 59 channels in 5 frequency bands was taken as the original feature set. Then the feature-based domain adaptation was used to map the feature to a new feature space. It can reduce the distribution difference between training and test set in the new feature space, so as to reduce the distribution difference between subjects. Finally, the support vector regression model was trained and tested based on the transformed feature set by leave-one-out cross-validation. What’s more, this paper compared the methods used in previous researches. The results showed that the method proposed in this paper improved the performance of regression model and obtained better personality assessment results. This research provides a new method for personality assessment.

    Release date: Export PDF Favorites Scan
1 pages Previous 1 Next

Format

Content