
This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/. This data is derived from one of the Computers in Cardiology challenges, an annual competition that runs with the conference series of the same name and is hosted on physionet. Data is taken from ECG data for multiple torso-surface sites. There are 4 classes (4 different people). https://physionet.org/challenge/ Donator: E. Keogh
classification, univariate, ucr archive, tsml archive, time series
classification, univariate, ucr archive, tsml archive, time series
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
