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Dataset from PPG wireless sensor for activity monitoring.


ABSTRACT: 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.

SUBMITTER: Biagetti G 

PROVIDER: S-EPMC6971339 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Dataset from PPG wireless sensor for activity monitoring.

Biagetti Giorgio G   Crippa Paolo P   Falaschetti Laura L   Saraceni Leonardo L   Tiranti Andrea A   Turchetti Claudio C  

Data in brief 20191223


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 correspo  ...[more]

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