An open source mobile platform for psychophysiological self tracking

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

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

7 Citazioni (Scopus)

Abstract

Self tracking is a recent trend in e-health that refers to the collection, elaboration and visualization of personal health data through ubiquitous computing tools such as mobile devices and wearable sensors. Here, we describe the design of a mobile self-tracking platform that has been specifically designed for clinical and research applications in the field of mental health. The smartphone-based application allows collecting a) self-reported feelings and activities from pre-programmed questionnaires; b) electrocardiographic (ECG) data from a wireless sensor platform worn by the user; c) movement activity information obtained from a tri-axis accelerometer embedded in the wearable platform. Physiological signals are further processed by the application and stored on the smartphone's memory. The mobile data collection platform is free and released under an open source licence to allow wider adoption by the research community (download at: http://sourceforge.net/projects/psychlog/).
Lingua originaleEnglish
pagine (da-a)136-138
Numero di pagine3
RivistaNot available
Volume173
Stato di pubblicazionePubblicato - 2012

Keywords

  • Electrocardiography
  • Mental Health
  • Monitoring, Ambulatory
  • Pilot Projects
  • Remote Sensing Technology
  • Telecommunications

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