A mobile data collection platform for mental health research

Andrea Gaggioli, Giovanni Pioggia, Gennaro Tartarisco, Giovanni Baldus, Daniele Corda, Pietro Cipresso, Giuseppe Riva

Research output: Contribution to journalArticlepeer-review

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/).

Original languageEnglish
Pages (from-to)241-251
Number of pages11
JournalPersonal and Ubiquitous Computing
Volume17
Issue number2
DOIs
Publication statusPublished - Feb 2013

Keywords

  • Accelerometer
  • Ecological momentary assessment
  • Electrocardiogram
  • Smart phones
  • Wearable sensors

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Science Applications
  • Management Science and Operations Research

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