Enabling risk assessment and analysis by event detection in dementia patients using a reconfigurable rule set

Abstract

Chronic mental illnesses pose a great burden on the lives of citizens worldwide. In modern health-care, decentralization and enabling the self management of patients at home are crucial factors in improving the every-day lives of patients and the people close to them. People in general tend to dislike obtrusive monitoring on their daily activities, so how can we implement a platform that can provide clinicians with adequate and concise information on their patients health status and at the same time be unobtrusive and easy to use. Moreover, how can we make such an unobtrusive system capable of providing the doctor with highimpact warnings on the patient's health status only when it is needed, thus relieving him of unnecessary workload? In this paper, the authors present a reconfigurable Event Detection mechanism used in the ALADDIN platform for Risk Assessment and Analysis. .

Behavioral Biometrics in Assisted Living: A Methodology for Emotion Recognition

“…The methodology followed, based on the fact of complete emotion expression universality aimed at providing an algorithm that needs no individual training of specific users (although training can be used in a future implementation to further improve acquired results). Also the proposed methodology aims at being easily incorporated into a SoA based telemedicine system, based on reconfigurable rules [30], or as part of a multi-algorithmic pool in a biometrics system as the one proposed in [44].…”

“…Thus, our methodology aims to be integrated into a risk assessment and detection component that processes patient data and if necessary, creates alerts for the clinicians. Such a component, can be based on an existing set of "Rules" and implemented to process both physical and psychological data as well as answers to cognitive and behavioral evaluation tests, to produce its warnings [30].…”

“…A systematic flow of information to and from the subject along with identification of adverse events and assessment reports leads to a more effective care system, socially and financially beneficial to the subjects. Remote monitoring of patients under a risk prediction framework is crucial for shifting the current paradigm from remedial to preventive action [7,[15][16][17][18][19].…”

Emotion Recognition in the Wild: Results and Limitations from Active and Healthy Ageing Cases in a Living Lab

“…In the research field of Ambient Assisted living, a shift towards monitoring elderly people status remotely, providing the physicians with information not only on physical, but also the psychological health [1,2] has been identified. The emerging trends are behavioral profiling and activity monitoring in the wild as parts of decision support implementations in AAL context [3,4].…”

Καινοτόμοι Μηχανισμοί Συμπεριφορικής Βιομετρικής Σε Συστήματα Υποβοηθούμενης Διαβίωσης

“…Στην περίπτωσή μας χρησιμοποιούμε ένα back propagating νευρωνικό δίκτυο για κατηγοριοποίηση ακανόνιστων σχημάτων[93]. Το δίκτυό μας κατηγοριοποιεί τα σχήματά μας εξετάζοντας τις ιδιότητες της κυρτής θήκης τους5 .Όμως μια και οι ρυτίδες που εμφανίζονται στο μέτωπο δεν αποτελούν κυρτά σύνολα 6 αλλά παραμένουν σημαντικοί παράγοντες για την αναγνώριση, υποδεικνύουμε την ύπαρξή τους στα διανύσματα εισόδου με 1 για ναι και 0 για όχι. Τo σχήμα των ματιών και του στόματος περιγράφεται από 20 σημαντικούς Fourier descriptors[94],[95] οι οποίοι δέχονται ως είσοδο τις βασικές συντεταγμένες των σχημάτων μας και δημιουργούν ένα «φάσμα σχήματος», ένα μικρότερο σύνολο σημείων από το αρχικό, το οποίο όμως περιγράφει πλήρως την αρχική περιοχή ώστε αυτή να μπορεί να ανακατασκευαστεί μετά αν χρειαστεί με την αντίστροφη διαδικασία.…”