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Normalized Cross-Ma...
Normalized Cross-Match : Pattern Discovery Algorithm from Biofeedback Signals
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- Gong, Xueyuan (författare)
- Department of Computer and Information Science, University of Macau
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- Fong, Simon (författare)
- Department of Computer and Information Science, University of Macau
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- Si, Yainwhar (författare)
- Department of Computer and Information Science, University of Macau
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- Biuk-Agha, Robert P. (författare)
- School of Computer Science and Engineering, University of New South Wales, Sydney
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- Wong, Raymond K. (författare)
- School of Computer Science and Engineering, University of New South Wales, Sydney
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- Vasilakos, Athanasios (författare)
- Luleå tekniska universitet,Datavetenskap
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(creator_code:org_t)
- 2016-07-15
- 2016
- Engelska.
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Ingår i: Trends and Applications in Knowledge Discovery and Data Mining. - Cham : Encyclopedia of Global Archaeology/Springer Verlag. - 9783319429953 - 9783319429960 ; , s. 169-180
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Biofeedback signals are important elements in critical care applications, such as monitoring ECG data of a patient, discovering patterns from large amount of ECG data sets, detecting outliers from ECG data, etc. Because the signal data update continuously and the sampling rates may be different, time-series data stream is harder to be dealt with compared to traditional historical time-series data. For the pattern discovery problem on time-series streams, Toyoda proposed the CrossMatch (CM) approach to discover the patterns between two time-series data streams (sequences), which requires only O(n) time per data update, where n is the length of one sequence. CM, however, does not support normalization, which is required for some kinds of sequences (e.g. EEG data, ECG data). Therefore, we propose a normalized-CrossMatch approach (NCM) that extends CM to enforce normalization while maintaining the same performance capabilities
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Annan maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)
Nyckelord
- Pervasive Mobile Computing
- Distribuerade datorsystem
- Computer Aided Design
- Datorstödd maskinkonstruktion
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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