Data in Brief (Feb 2023)

Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up

  • Rui Pedro Duarte,
  • Francisco Alexandre Marinho,
  • Eduarda Sofia Bastos,
  • Rui João Pinto,
  • Pedro Miguel Silva,
  • Alice Fermino,
  • Hanna Vitalyvna Denysyuk,
  • António Jorge Gouveia,
  • Norberto Jorge Gonçalves,
  • Paulo Jorge Coelho,
  • Eftim Zdravevski,
  • Petre Lameski,
  • Toni Tripunovski,
  • Nuno M. Garcia,
  • Ivan Miguel Pires

Journal volume & issue
Vol. 46
p. 108874

Abstract

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It is increasingly possible to acquire Electrocardiographic data with featured low-cost devices. The proposed dataset will help map different signals for various diseases related to Electrocardiography data. The dataset presented in this paper is related to the acquisition of electrocardiography data during the standing up and seated positions. The data was collected from 219 individuals (112 men, 106 women, and one other) in different environments, but they are in the Covilhã municipality. The dataset includes the 219 recordings and corresponds to the sensors’ recordings of a 30 s sitting and a 30 s standing test, which checks to approximately 1 min for each one. This dataset includes 3.7 h (approximately) of recordings for further analysis with data processing techniques and machine learning methods. It will be helpful for the complementary creation of a robust method for identifying the characteristics of individuals related to Electrocardiography signals.

Keywords