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/).
Gaggioli, A., Cipresso, P., Serino, S., Pioggia, G., Tartarisco, G., Baldus, G., Corda, D., Riva, G., An open source mobile platform for psychophysiological self tracking, in Westwood, J., Haluck, R., Robb, R., Vosburgh, K., Westwood, S., Senger, S., Felländer-Tsai, L. (ed.), Medicine Meets Virtual Reality 19, IOS Press, Amsterdam 2012: <<STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS>>, 173 136- 138. 10.3233/978-1-61499-022-2-136 [https://hdl.handle.net/10807/3080]
An open source mobile platform for psychophysiological self tracking
Gaggioli, Andrea;Cipresso, Pietro;Serino, Silvia;Riva, Giuseppe
2012
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/).
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