ArticleSensors (Basel, Switzerland)2020
EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- Adoption of K-means clustering algorithm in smart city security analysis and mythical experience analysis of urban image.PloS one · 2025Article
- Identifying Ordinal Similarities at Different Temporal Scales.Entropy (Basel, Switzerland) · 2024Article
- Integrating sEMG and IMU Sensors in an e-Textile Smart Vest for Forward Posture Monitoring: First Steps.Sensors (Basel, Switzerland) · 2024Article
- Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic.Frontiers in digital health · 2024Article
- A Novel Data Augmentation Method for Improving the Accuracy of Insulator Health Diagnosis.Sensors (Basel, Switzerland) · 2022Article
- Processing Photoplethysmograms Recorded by Smartwatches to Improve the Quality of Derived Pulse Rate Variability.Sensors (Basel, Switzerland) · 2022Article
- Improved LDTW Algorithm Based on the Alternating Matrix and the Evolutionary Chain Tree.Sensors (Basel, Switzerland) · 2022Article
- Time Synchronization of Multimodal Physiological Signals through Alignment of Common Signal Types and Its Technical Considerations in Digital Health.Journal of imaging · 2022Article
- The Diverse Gait Dataset: Gait Segmentation Using Inertial Sensors for Pedestrian Localization with Different Genders, Heights and Walking Speeds.Sensors (Basel, Switzerland) · 2022Article
- Design and Implementation of Multiple Music System Based on Internet of Things.Computational intelligence and neuroscience · 2022Article
- Cellular Network Radio Monitoring and Management through Virtual UE Probes: A Study Case Based on Crowded Events.Sensors (Basel, Switzerland) · 2021Article
- Dynamic Time-Warping Correction for Shifts in Ultrahigh Resolving Power Ion Mobility Spectrometry and Structures for Lossless Ion Manipulations.Journal of the American Society for Mass Spectrometry · 2021Article
- Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification.Sensors (Basel, Switzerland) · 2021Article
- The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data.Journal of clinical and translational science · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 practical problems, such as aligning signals that are recorded simultaneously by sensors with different, uneven, and dynamic sampling frequencies. As multi-modal sensing technologies become increasingly popular, it is necessary to develop methods for high quality alignment of such signals. Here we propose a DTW algorithm called EventDTW which uses information propagated from defined events as basis for path matching and hence sequence alignment. We have developed two metrics, the error rate (ER) and the singularity score (SS), to define and evaluate alignment quality and to enable comparison of performance across DTW algorithms. We demonstrate the utility of these metrics on 84 publicly-available signals in addition to our own multi-modal biomedical signals. EventDTW outperformed existing DTW algorithms for optimal alignment of signals with different sampling frequencies in 37% of artificial signal alignment tasks and 76% of real-world signal alignment tasks.
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