机构：[1]School of Biomedical Engineering, Fourth Military Medical University, Xi’an, Shaanxi, China[2]Department of Medical Engineering, General Hospital of Jinan Military Command, Jinan, Shandong, China中国人民解放军联勤保障部队第九六〇医院[3]School of Physics and Electronic Engineering, Shanxi University, Taiyuan, Shanxi, China[4]Department of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China临床科室耳鼻咽喉-头颈外科首都医科大学附属北京同仁医院首都医科大学附属同仁医院[5]Center of Aviation Medical Engineering, Institute of Aviation Medicine Beijing, Beijing, China
BACKGROUND: Genioglossus myoelectric activity is of great significance in evaluating clinical respiratory function. However, there is a tradeoff in genioglossus EMG measurement with respect to accuracy versus convenience. OBJECTIVE: This paper presents a way to separate the characteristics of genioglossus myoelectric activity from multi-channel mandible sEMG through independent component analysis. METHODS: First, intra-oral genioglossus EMGgenioglossus EMG and three-channel mandible sEMG were recorded simultaneously. The FastICA algorithm was applied to three independent components from the sEMG signals. Then the independent components with the intra-oral genioglossus EMG were compared by calculating the Pearson correlation coefficient between them. RESULTS: An examination of 60 EMG samples showed that the FastICA algorithm was effective in separating the characteristics of genioglossus myoelectric activity from multi-channel mandible sEMG. The results of analysis were coincident with clinical diagnosis through intra-oral electrodes. CONCLUSIONS: Genioglossus myoelectric activity can be evaluated accurately by multi-channel mandible sEMG, which is non-invasive and easy to record.
基金：
Key Technologies Research and the Development Program of China
#2013BAI03B05.
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2014]版：
大类|4 区医学
小类|4 区工程：生物医学4 区卫生保健与服务
最新[2025]版：
大类|4 区医学
小类|4 区工程：生物医学4 区卫生保健与服务
JCR分区：
出版当年[2013]版：
Q4HEALTH CARE SCIENCES & SERVICESQ4ENGINEERING, BIOMEDICAL
最新[2023]版：
Q3HEALTH CARE SCIENCES & SERVICESQ4ENGINEERING, BIOMEDICAL
第一作者机构：[1]School of Biomedical Engineering, Fourth Military Medical University, Xi’an, Shaanxi, China[2]Department of Medical Engineering, General Hospital of Jinan Military Command, Jinan, Shandong, China
共同第一作者：
通讯作者：
通讯机构：[2]Department of Medical Engineering, General Hospital of Jinan Military Command, Jinan, Shandong, China[4]Department of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China[5]Center of Aviation Medical Engineering, Institute of Aviation Medicine Beijing, Beijing, China[*1]Center of Aviation Medical Engineering, Institute of Aviation Medicine Beijing, Beijing, China.[*2]Department of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
推荐引用方式(GB/T 7714)：
Song Tianyi,Meng Baowen,Chen Baoming,et al.Detection of genioglossus myoelectric activity using ICA of multi-channel mandible sEMG[J].TECHNOLOGY AND HEALTH CARE.2015,23:S495-S500.doi:10.3233/THC-150987.
APA：
Song, Tianyi,Meng, Baowen,Chen, Baoming,Zhao, Di,Cao, Zhengtao...&Yu, Mengsun.(2015).Detection of genioglossus myoelectric activity using ICA of multi-channel mandible sEMG.TECHNOLOGY AND HEALTH CARE,23,
MLA：
Song, Tianyi,et al."Detection of genioglossus myoelectric activity using ICA of multi-channel mandible sEMG".TECHNOLOGY AND HEALTH CARE 23.(2015):S495-S500
