Personal and Ubiquitous Computing

, Volume 17, Issue 2, pp 241–251 | Cite as

A mobile data collection platform for mental health research

  • Andrea Gaggioli
  • Giovanni Pioggia
  • Gennaro Tartarisco
  • Giovanni Baldus
  • Daniele Corda
  • Pietro Cipresso
  • Giuseppe Riva
Original Article


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 (


Ecological momentary assessment Wearable sensors Electrocardiogram Accelerometer Smart phones 



This work was supported by the European funded project “Interstress-Interreality in the management and treatment of stress-related disorders”, FP7-247685.


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Andrea Gaggioli
    • 1
    • 2
  • Giovanni Pioggia
    • 3
  • Gennaro Tartarisco
    • 3
  • Giovanni Baldus
    • 3
  • Daniele Corda
    • 3
  • Pietro Cipresso
    • 1
  • Giuseppe Riva
    • 1
    • 2
  1. 1.ATN-P LabIstituto Auxologico ItalianoMilanItaly
  2. 2.Department of PsychologyCatholic University of MilanMilanItaly
  3. 3.National Research Council of Italy (CNR), Institute of Clinical Physiology, (IFC)PisaItaly

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