Motor timing and more--additional options using advanced registration and evaluation of tapping data.
Motor coordination in multi-tasking situations is relevant to everyday life, since numerous daily activities require the performance of more than one task simultaneously. Investigations into this topic often use dual-task experiments like bimanual tapping, with different instructions for the right and left hands, such as to tap repetitively with the right index finger at a given frequency and to concurrently execute a single tap in response to a go signal with the left index finger. A basic experimental set-up for tapping consists of only a pace signal generator and ground contact sensors such as micro switches for observation of motor action. Evaluation of the binary on-off signals provided by these switches is quite simple, but the amount of information obtained is also limited. This paper presents a novel experimental design for tapping experiments with high-resolution recording of the complete time course of continuous finger movements. The evaluation procedures required for biomechanical and EMG data are described. The latter are based on sophisticated maximum-likelihood techniques, which is an example of progress in research using advanced biosignal processing.
Dung
Cong Khac
CK
Institut für Mathematik und Datenverarbeitung, Fakultät für Elektrotechnik und Informationstechnik, Universität der Bundeswehr München, Neubiberg, Germany. Dung.Congkhac@unibw-muenchen.de
Staude
Gerhard
G
Wolf
Werner
W
D000465:Algorithms; D001696:Biomechanical Phenomena / Q000295:instrumentation / Q000379:methods*; D003071:Cognition / Q000502:physiology*; D004576:Electromyography / Q000295:instrumentation / Q000379:methods*; D005385:Fingers / Q000502:physiology*; D006801:Humans; D009068:Movement / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology*