Funding Information: This work was supported by Project OPERATOR (NORTE01-0247-FEDER-045910), cofinanced by the ERDF\u2014European Regional Development Fund through the North Portugal Regional Operational Program and Lisbon Regional Operational Program and by the Portuguese Foundation for Science and Technology, under the MIT Portugal Program (2019 Open Call for Flagship projects). Publisher Copyright: © 2024 b...
Publisher Copyright: © 2001-2012 IEEE. This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by the Ethics Committee, College of Biomedical Engineering and Instrument Science, Zhejiang University; This article investigates electrocardiogram (ECG) acquisition artifacts often occurring in experiments due to human negligence or e...
The APC was funded by the Open Access Initiative of the University of Bremen and the DFG via SuUB Bremen. Hanse Wissenschaftskolleg - Institute for Advanced Study: BRAIN Program. Publisher Copyright: © 2022 by the authors.; Biosignal-based technology has been increasingly available in our daily life, being a critical information source. Wearable biosensors have been widely applied in, among others, biometrics, ...
Subsequence search and distance measures are crucial tools in time series data mining. This paper presents our Python package entitled TSSEARCH, which provides a comprehensive set of methods for subsequence search and similarity measurement in time series. These methods are user-customizable for more flexibility and efficient integration into real deployment scenarios. TSSEARCH enables fast exploratory time ser...
Funding Information: The APC was funded by Open Access Initiative of the University of Bremen and the DFG via SuUB Bremen. Publisher Copyright: © 2022 by the authors.; As an essential subset of Chinese music, traditional Chinese folk songs frequently apply the anhemitonic pentatonic scale. In music education and demonstration, the Chinese anhemitonic pentatonic mode is usually introduced theoretically, suppleme...
POCI-01-0247-FEDER-038436; Time series feature extraction is one of the preliminary steps of conventional machine learning pipelines. Quite often, this process ends being a time consuming and complex task as data scientists must consider a combination between a multitude of domain knowledge factors and coding implementation. We present in this paper a Python package entitled Time Series Feature Extraction Libra...