An open source mobile platform for psychophysiological self tracking

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (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 preprogrammed 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/).

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
Pages136-138
Number of pages3
Volume173
DOIs
Publication statusPublished - 2012
EventMedicine Meets Virtual Reality 19: NextMed, MMVR 2012 - Newport Beach, CA, United States
Duration: Feb 9 2012Feb 11 2012

Other

OtherMedicine Meets Virtual Reality 19: NextMed, MMVR 2012
CountryUnited States
CityNewport Beach, CA
Period2/9/122/11/12

Fingerprint

Smartphones
Health
Licensure
Research
Mental Health
Emotions
Ubiquitous computing
Accelerometers
Mobile devices
Equipment and Supplies
Visualization
Data storage equipment
Sensors
Smartphone
Surveys and Questionnaires
Wearable sensors

Keywords

  • Computerized experience sampling
  • ECG
  • Self-tracking
  • Smartphones
  • Wearable sensors

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Gaggioli, A., Cipresso, P., Serino, S., Pioggia, G., Tartarisco, G., Baldus, G., ... Riva, G. (2012). An open source mobile platform for psychophysiological self tracking. In Studies in Health Technology and Informatics (Vol. 173, pp. 136-138) https://doi.org/10.3233/978-1-61499-022-2-136

An open source mobile platform for psychophysiological self tracking. / Gaggioli, Andrea; Cipresso, Pietro; Serino, Silvia; Pioggia, Giovanni; Tartarisco, Gennaro; Baldus, Giovanni; Corda, Daniele; Riva, Giuseppe.

Studies in Health Technology and Informatics. Vol. 173 2012. p. 136-138.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gaggioli, A, Cipresso, P, Serino, S, Pioggia, G, Tartarisco, G, Baldus, G, Corda, D & Riva, G 2012, An open source mobile platform for psychophysiological self tracking. in Studies in Health Technology and Informatics. vol. 173, pp. 136-138, Medicine Meets Virtual Reality 19: NextMed, MMVR 2012, Newport Beach, CA, United States, 2/9/12. https://doi.org/10.3233/978-1-61499-022-2-136
Gaggioli A, Cipresso P, Serino S, Pioggia G, Tartarisco G, Baldus G et al. An open source mobile platform for psychophysiological self tracking. In Studies in Health Technology and Informatics. Vol. 173. 2012. p. 136-138 https://doi.org/10.3233/978-1-61499-022-2-136
Gaggioli, Andrea ; Cipresso, Pietro ; Serino, Silvia ; Pioggia, Giovanni ; Tartarisco, Gennaro ; Baldus, Giovanni ; Corda, Daniele ; Riva, Giuseppe. / An open source mobile platform for psychophysiological self tracking. Studies in Health Technology and Informatics. Vol. 173 2012. pp. 136-138
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