In Data in brief
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.
Duarte Rui Pedro, Marinho Francisco Alexandre, Bastos Eduarda Sofia, Pinto Rui João, Silva Pedro Miguel, Fermino Alice, Denysyuk Hanna Vitalyvna, Gouveia António Jorge, Gonçalves Norberto Jorge, Coelho Paulo Jorge, Zdravevski Eftim, Lameski Petre, Tripunovski Toni, Garcia Nuno M, Pires Ivan Miguel
2023-Feb
Daily activities, Diseases, Electrocardiography signals, Seated, Stand up
