Comparison of Dead Bug Exercise and Abdominal Draw-in Exercise on the Activities of Lumbar Extensor Muscles and the Pelvic Angle During Prone Hip Extension in Women with Weak Abdominal Muscles
Journal of The Korean Society of Integrative Medicine(2020)
Abstract
Purpose : The aim of this study was to compare the effects of the abdominal draw-in exercise (ADIE) and the dead bug exercise (DBE) on the pelvic anterior tilt angle and the activities of the gluteus maximus (GM), erector spinae (ES), and semi tendinosus (ST) during prone hip extension. Methods : A total of 22 female adults with weak abdominal muscles were divided into two groups: ADIE group (n=11) and DBE group (n=11). The muscle activities of the GM, ES, and ST along with the pelvic anterior tilt angle during prone hip extension were measured using a wireless surface electromyograph and gyro sensor before performing the prescribed exercise. Two groups conducted the assigned exercise for 10 minutes. After the exercise, their muscle activities and the pelvic anterior tilt angle were equally re measured. Results : In the DBE group, the muscle activity of GM was significantly increased after the intervention (p<0.05). However, there was no significant difference between the two groups in the amount of increase in the activity of GM (p>0.05). Moreover, in both groups, the activity of ES and the pelvic anterior tilt angle decreased significantly after the intervention (p<0.05) The decreased quantity in the pelvic anterior tilt angle and in the activity of ES showed no difference between the two groups (p>0.05). In the activity of ST, there was no significant difference within and between the two groups (p>0.05). Conclusion : Therefore, we suggest that ADIE and DBE are effective for women with weak abdominal muscles since the ES activity and pelvic anterior tilt angle are reduced during prone hip extension.
MoreTranslated text
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
2006
被引用149 | 浏览
2005
被引用896 | 浏览
2002
被引用36 | 浏览
2004
被引用273 | 浏览
2009
被引用191 | 浏览
2015
被引用49 | 浏览
2016
被引用32 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper