EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies

EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies

The dynamic time warping (DTW) algorithm is widely used in pattern matching and sequence alignment tasks, including speech recognition and time series clustering. However, DTW algorithms perform poorly when aligning sequences of uneven sampling frequencies. This makes it difficult to apply DTW to pr...

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Bibliographic Details
Main Authors: Yihang Jiang, Yuankai Qi, Will Ke Wang, Brinnae Bent, Robert Avram, Jeffrey Olgin, Jessilyn Dunn
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
dynamic time warping
signal alignment
nonuniform sampling
Online Access:https://www.mdpi.com/1424-8220/20/9/2700

Internet

https://www.mdpi.com/1424-8220/20/9/2700

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