The paper “Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review” has been recently published by JMIR Mental Health (https://mental.jmir.org/2019/2/e9819/). Ab.Acus was leading its preparation and highly contributing both to the search phase and results analysis.
The review, based on our research work during the m-RESIST project (www.mresist.eu) addresses ten years (2009-2018) of research on use of wearable sensors and smartphone in psychiatry. On a total of non-duplicated 2604 hits, only 35 deals with field studies or pilots aiming at correlating the information extracted from the sensors to the health status measured by means different subjective scales.
Looking at the selected papers, there is a huge variability in analysis protocols and selected clinical scales as well as identified correlations. Also, the reliability of the acquired data highly depends on the daily usage.
With the QMP (QuantifyMyPerson) app, Ab.Acus Ab.Acus raised the bar for the field.
The app computed a set of features, able to assess physical as well as mental activity by means of the sensors embedded in the smartphone on a 24/7 time basis.
The basic idea is to develop an intra-person analysis, aiming at comparing the persons with themselves along the time.
Applying this concept, it does not matter too much if the persons take the smartphone with themselves all along the day, because the basic assumption is that the behaviour is repeatable day after day, so the persons will let the smartphone on the desk or in the bag according to their habits.
The focus is on the identification of modifications of personal habits in the long term rather than the description of the gesture or the activity per se.
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