Fast Constrained Dynamic Time Warping for Similarity Measure of Time Series Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3043839
Abstract: In this paper, we propose an efficient algorithm for reducing the computational complexity of dynamic time warping (DTW) for obtaining similarity measures between time series. The DTW technique exhibits superior classification accuracy compared to other… read more here.
Keywords: time; time series; dtw; constrained dtw ... See more keywords
Modified Dynamic Time Warping for Hierarchical Clustering
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DOI: 10.18517/ijaseit.9.5.7079
Abstract: Time series clustering is the process of grouping sequential correspondences in similar clusters. The key feature behind clustering time series data lies on the similarity/distance function used to identify the sequential matches. Dynamic Time Warping… read more here.
Keywords: distance; dtw; time; time warping ... See more keywords
Evaluation of movement functional rehabilitation after stroke: A study via graph theory and corticomuscular coupling as potential biomarker
Sign Up to like & getrecommendations! Published in 2023 at "Mathematical Biosciences and Engineering"
DOI: 10.3934/mbe.2023465
Abstract: Changes in the functional connections between the cerebral cortex and muscles can evaluate motor function in stroke rehabilitation. To quantify changes in functional connections between the cerebral cortex and muscles, we combined corticomuscular coupling and… read more here.
Keywords: corticomuscular coupling; rehabilitation; dtw; graph theory ... See more keywords