Journal Of Electromyography And Kinesiology

雜志介紹

Journal Of Electromyography And Kinesiology雜志介紹

《Journal Of Electromyography And Kinesiology》是一本以English為主的未開放獲取國際優秀期刊，中文名稱肌電圖和運動機能學雜志，本刊主要出版、報道醫學-PHYSIOLOGY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為2，最新CiteScore 指數為4.7。

本刊近期中國學者發表的論文主要有：

• Assessing the viscoelastic properties of upper trapezius muscle: Intra- and inter-tester reliability and the effect of shoulder elevation

  Author: C.L. Liu, Y.N. Feng, H.Q. Zhang, Y.P. Li, Y. Zhu, Z.J. Zhang

• Corrigendum to “Towards reducing the impacts of unwanted movements on identification of motion intentions” [J. Electromyogr. Kinesiol. 28 (2016) 90–98]

  Author: Xiangxin Li, Shixiong Chen, Haoshi Zhang, Oluwarotimi Williams Samuel, Hui Wang, Peng Fang, Xiufeng Zhang, Guanglin Li

• Influence of locomotion speed on biomechanical subtask and muscle synergy

  Author: Kai Gui, Dingguo Zhang

• An investigation on the simultaneously recorded occlusion contact and surface electromyographic activity for patients with unilateral temporomandibular disorders pain.

  Author: Li BY, Zhou LJ, Guo SX, Zhang Y, Lu L, Wang MQ.

英文介紹

Journal Of Electromyography And Kinesiology雜志英文介紹

Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques.

As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.