Extracting interpretable muscle activation patterns with time series knowledge mining

Fabian Mörchen, Alfred Ultsch, Olaf Hoos
2005 Journal of Knowledge-based & Intelligent Engineering Systems  
The understanding of complex muscle coordination is an important goal in human movement science. There are numerous applications in medicine, sports, and robotics. The coordination process can be studied by observing complex, often cyclic movements, which are dynamically repeated in an almost identical manner. The muscle activation is measured using kinesiological EMG. Mining the EMG data to identify patterns, which explain the interplay and coordination of muscles is a very difficult Knowledge
more » ... Discovery task. We present the Time Series Knowledge Mining framework to discover knowledge in multivariate time series and show how it can be used to extract such temporal patterns.
doi:10.3233/kes-2005-9304 fatcat:v6w7zrlzczhf3gqr6i464nhisi