Dataset from PPG wireless sensor for activity monitoring

We introduce a dataset to provide insights about the photoplethysmography (PPG) signal captured from the wrist in presence of motion artifacts and the accelerometer signal, simultaneously acquired from the same wrist. The data presented were collected by the electronics research team of the Departme...

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Bibliographic Details
Published inData in brief Vol. 29; p. 105044
Main Authors Biagetti, Giorgio, Crippa, Paolo, Falaschetti, Laura, Saraceni, Leonardo, Tiranti, Andrea, Turchetti, Claudio
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.04.2020
Elsevier
Subjects
Accelerometer
accelerometers
Activity recognition
data collection
electronics
Engineering
humans
Italy
Machine learning
Photoplethysmography
Italy
Accelerometer
Activity recognition
Photoplethysmography
Machine learning
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ISSN2352-3409
2352-3409
DOI10.1016/j.dib.2019.105044

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Summary:We introduce a dataset to provide insights about the photoplethysmography (PPG) signal captured from the wrist in presence of motion artifacts and the accelerometer signal, simultaneously acquired from the same wrist. The data presented were collected by the electronics research team of the Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy. This article describes data recorded from 7 subjects and includes 105 PPG signals (15 for each subject) and the corresponding 105 tri-axial accelerometer signals measured with a sampling frequency of 400 Hz. These data can be reused for testing machine learning algorithms for human activity recognition.
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ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2019.105044