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A mobile data collection platform for mental health research

Articolo
Data di Pubblicazione:
2011
Abstract:
Ubiquitous computing technologies offer exciting new possibilities for monitoring and analyzing user's experience in real time. In this paper, we describe the design and development of Psychlog, a mobile phone platform designed to collect users' psychological, physiological, and activity information for mental health research. The tool allows administering self-report questionnaires at specific times or randomly within a day. The system also permits to collect heart rate and activity information from a wireless electrocardiogram equipped with a three-axial accelerometer. By combining self-reports with heart rate and activity data, the application makes it possible to investigate the relationship between psychological, physiological, and behavioral variables, as well as to monitor their fluctuations over time. The software runs on Windows mobile operative system and is available as open source (http://sourceforge.net/projects/psychlog/).
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Ecological momentary assessment Wearable sensors Electrocardiogram Accelerometer Smart phones
Elenco autori:
Pioggia, Giovanni; Tartarisco, Gennaro
Autori di Ateneo:
PIOGGIA GIOVANNI
TARTARISCO GENNARO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/226775
Pubblicato in:
PERSONAL AND UBIQUITOUS COMPUTING (PRINT)
Journal
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