A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults

Alessio Rossi, Eleonora Da Pozzo, Dario Menicagli, Chiara Tremolanti, Corrado Priami, Alina Sîrbu, David A. Clifton, Claudia Martini and Davide Morelli
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Alessio Rossi: Department of Computer Science, University of Pisa, 56127 Pisa, Italy
Eleonora Da Pozzo: Department of Pharmacy, University of Pisa, 56126 Pisa, Italy
Dario Menicagli: MOMILab, IMT School for Advanced Studies Lucca, 55100 Lucca, Italy
Chiara Tremolanti: Department of Pharmacy, University of Pisa, 56126 Pisa, Italy
Corrado Priami: Department of Computer Science, University of Pisa, 56127 Pisa, Italy
Alina Sîrbu: Department of Computer Science, University of Pisa, 56127 Pisa, Italy
David A. Clifton: Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK
Claudia Martini: Department of Pharmacy, University of Pisa, 56126 Pisa, Italy
Davide Morelli: Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK

Data, 2020, vol. 5, issue 4, 1-15

Abstract: Wearable devices now make it possible to record large quantities of physiological data, which can be used to obtain a clearer view of a person’s health status and behavior. However, to the best of our knowledge, there are no open datasets in the literature that provide psycho-physiological data. The Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset presented in this paper provides 24 h of continuous psycho-physiological data, that is, inter-beat intervals data, heart rate data, wrist accelerometry data, sleep quality index, physical activity (i.e., number of steps per second), psychological characteristics (e.g., anxiety status, stressful events, and emotion declaration), and sleep hormone levels for 22 participants. The MMASH dataset will enable the investigation of possible relationships between the physical and psychological characteristics of people in daily life. Data were validated through different analyses that showed their compatibility with the literature.

Keywords: heart rate variability; sleep quality; anxiety status; stressful events; emotion; physical activity (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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