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.
Highlights
Two open datasets focused on inter-beat interval (IBI) data are: (i) the Normal Sinus Rhythm RR Interval Database by PhysioNet; and (ii) the Congestive
The MMASH dataset was released under the Open Database License (ODbL) v1.0 and is publicly available on PhysioNet [7,8]
The activities reported by each participant are provided in the file Activity.csv using the numerical categories listed in the Methods section
Summary
Alessio Rossi 1 , Eleonora Da Pozzo 2, * , Dario Menicagli 3 , Chiara Tremolanti 2 , Corrado Priami 1,4 , Alina Sîrbu 1 , David A.
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