作者：
Shangyu Cai;Yongsheng Lin;Haoxin Chen;Zihao Huang;Yongjin Zhou*;...
通讯作者：
Yongjin Zhou;Yongping Zheng
作者机构：
School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China
School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China
School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China
Department of Biomedical Engineering, the Hong Kong Polytechnic University, Hong Kong, China
School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China
Department of Biomedical Engineering, the Hong Kong Polytechnic University, Hong Kong, China
通讯机构：
School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China
Department of Biomedical Engineering, the Hong Kong Polytechnic University, Hong Kong, China
语种：
英文
关键词：
B-mode ultrasound,Deep learning,Exercise training,Pectoralis major,Wearable ultrasound-imaging biofeedback
期刊：
工医艺的可视计算(英文)
ISSN：
2096-496X
年：
2024
卷：
7
期：
1
基金类别：
Not applicable.
摘要：
This study addresses a limitation of prior research on pectoralis major (PMaj) thickness changes during the pectoralis fly exercise using a wearable ultrasound imaging setup. Although previous studies used manual measurement and subjective evaluation, it is important to acknowledge the subsequent limitations of automating widespread applications. We then employed a deep learning model for image segmentation and automated measurement to solve the problem and study the additional quantitative supplementary information that could be provided. Our results revealed increased PMaj thickness changes in the coronal plane within the probe detection region when real-time ultrasound...
