Project Description
QMP is a remote monitoring platform able to manage background acquisition of 24/7 data related to behavioral and physical habits through the analysis of data detected by both smartphone and wearable devices.
The data, acquired daily by the monitoring app, are processed to detect any variation from user’s typical behavior.
Through the Dashboard the clinician can both manage the profiles of patients associated with the study, i.e. their medical history, their visits and their diary notes, and view the data collected by the app through charts and indexes.
The users’ behavior is transparently monitored by exploiting the sensors and data flows of their own smartphones. By design, QMP does not provide user any feedback and does not introduce any burden other than carrying a phone
The collected information is uploaded to a dedicated cloud where the data is safely stored and made available for consultation in accordance with the privacy policies set. Each allowed operator will be able to visualize the statistics about the acquired data, manage the user baseline and keep track of the trends and evolutions of the users in their day-by-day follow-up. Through the Dashboard the clinician can follow daily the progress of a clinical trial in terms of patients’ enrolment, treatment compliance and effectiveness.
Also, QMP supports the researchers and clinicians in identifying the detachment of user’s life habits from their normal behavior through the identification of potential index of worsening of physical or mental health. Our machine learning algorithms will make available a set of dedicated features that can help in interpreting the sensors data. In a completely innovative way, QuantifyMyPerson allows the clinician to check fluctuations in user behaviour on any time span
The algorithms for the analysis of variations of the user’s habits during the study, do not require any previous information nor any labelling
QuantifyMyPerson system architecture has been designed and developed to maintain a high level of flexibility: the type of data collected, the acquired sensors and the structure of the study can be managed by the Dashboard, guaranteeing adaptability to any type of clinical study.
