title: Characterizing muscular activities using non-negative matrix factorization from EMG channels for driver swings in golf.
abstract: The goal of this study is to propose a data driven approach method to characterize muscular activities of complex actions in sports such as golf from a lot of EMG channels. Two problems occur in a many channel measurement. The first problem is that it takes a lot of time to check the many channel data because of combinatorial explosion. The second problem is that it is difficult to understand muscle activities related with complex actions. To solve these problems, we propose an analysis method of multi EMG channels using Non-negative Matrix Factorization and adopt the method to driver swings in golf. We measured 26 EMG channels about 4 professional coaches of golf. The results show that the proposed method detected 9 muscle synergies and the activation of each synergy were mostly fitted by sigmoid curve (R2=0.85).
authors.forename: Yasunori
authors.initials: Y
authors.lastname: Ozaki
authors.forename: Ryosuke
authors.initials: R
authors.lastname: Aoki
authors.forename: Toshitaka
authors.initials: T
authors.lastname: Kimura
authors.forename: Youichi
authors.initials: Y
authors.lastname: Takashima
authors.forename: Tomohiro
authors.initials: T
authors.lastname: Yamada
mesh_terms: D000465:Algorithms; D056352:Athletes; D004576:Electromyography / Q000379:methods*; D005260:Female; D006055:Golf / Q000502:physiology*; D006801:Humans; D008297:Male; D009068:Movement / Q000502:physiology; D018482:Muscle, Skeletal / Q000502:physiology*; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted