Temporally Aligned Segmentation and Clustering (TASC) of Behavioral Time Series

Ekaterina Zinkovskaia, Orel Tahary, Izhar Bar-Gad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Behavior consists of a series of repeating yet variable discrete motifs across various timescales. We introduce a framework for temporally aligned segmentation and clustering (TASC) of behavioral time series. TASC is designed to extract such motif recurrences in high temporal resolution. This framework operates iteratively in two steps: (1) embedding of time series segments and calculation of linearly aligned distances within the clustered space, and (2) recalculating of the clustered space after alignment. We evaluated TASC on a semi-synthetic experimental and a clinical dataset, and it demonstrated enhanced segmentation performance. TASC may be applied to other domains where analysis of recurring time series patterns with high temporal precision is needed.Clinical Relevance: This framework enables identifying the temporal structure of discrete pathological behaviors, such as tics properties in Tourette's syndrome.

Original languageEnglish
Title of host publication2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-174
Number of pages2
ISBN (Electronic)9798350383386
DOIs
StatePublished - 2023
Event2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 - Malta, Malta
Duration: 7 Dec 20239 Dec 2023

Publication series

Name2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

Conference

Conference2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Country/TerritoryMalta
CityMalta
Period7/12/239/12/23

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Information Systems
  • Health Informatics
  • Human-Computer Interaction
  • Biomedical Engineering

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