This section contains all the public deliverables of the ALAMEDA project

Deliverable D8.1

Title: Project Website and Social Media

The present deliverable illustrates the word done to set the basic visual identity of the ALAMEDA project, the project website and the social media handles that will support the dissemination and communication strategy.

Downloadable pdf: full document


Below you will find a list of scientific and other publications that are direct results of the research done in the ALAMEDA project.

All publications are freely downloadable and disseminated in open access modalities


Monitoring Neurological Disorder Patients via Deep Learning Based Facial Expressions Analysis

Published: 20 June 2022

Authors: Muhammad Munsif, Mohib Ullah, Bilal Ahmad, Muhammad Sajjad, Faouzi Alaya Cheikh

Facial expression (FE) is the most natural and convincing source to communicate human emotions, providing valuable insides to the observer while assessing the emotional incongruities. In health care, the FE of the patient (specifically of neurological disorders (NDs) such as Parkinson’s, Stroke, and Alzheimer’s) can assist the medical doctor in evaluating the physical condition of a patient, such as fatigue, pain, and sadness.

Download pdf: full article (pp. 412-423)



Balancing between holistic and cumulative sentiment classification

Published: 29 June 2022

Authors: Pantelis Agathangelou, Ioannis Katakis

Our method, by combining convolutional, recurrent and attention neural networks can extract rich linguistic patterns that reveal the user’s sentiment towards the entity under review. We evaluate our method in nine datasets that represent both binary and multi-class classification tasks.

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Usability of the Virtual Supermarket Test for Older Adults with and without Cognitive Impairment

Published: 13 May 2022

Authors: S. Zygourisa, S. Segkoulia, A. Triantafyllidisa, D. Giakoumisa

This study conducted a preliminary usability assessment of the Virtual Supermarket Test (VST), a serious gamebased self-administered cognitive screening test for mild cognitive impairment (MCI).

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A Semantic Technologies Toolkit for Bridging Early Diagnosis and Treatment in Brain Diseases: Report from the Ongoing EU-Funded Research Project ALAMEDA

Published: 1 April 2022

Authors: C. Maga-Nteve, E. Kontopoulos, N.TsolakisI. KatakisE. MathioudisP. MitziasK. AvgerinakisG. MeditskosA. KarakostasS. Vrochidis, I. Kompatsiaris 

This Paper has been selected and presented at the 15th International Conference, MTSR 2021, Virtual Event, November 29 – December 3, 2021.

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Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review

Published: 24 February 2022

Authors: Konstantina-Maria Giannakopoulou, Ioanna Roussaki and Konstantinos Demestichas

This paper presents a state-of-the-art systematic review of the recent advances in the Internet of Things and Artificial Intelligence applications on Parkinson’s Disease, including the subdomains of machine learning and deep learning.

(This article belongs to the Special Issue AI and IoT Enabled Solutions for Healthcare)

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Ontology based semantic model for health data interpretation

Published: 22 December 2021

Authors: Christoniki Maga-Nteve, Nikos Tsolakis, Georgios Meditskos, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris

In this paper we propose a new semantic data model in which health information derived from Parkinson’s, Multiple Sclerosis, and Stroke (PMSS) patients is systematically analyzed to generate and improve knowledge that will be transferred to patient care in order to design and develop innovative health risk prediction and intervention tools

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Below you will find a list of useful resources and reading suggestions relevant to the ALAMEDA project

ALAMEDA on Corriere della Salute

Read full article: here

ALAMEDA at 8th Congress of the European Academy of Neurology

Download poster: full document 

A new dawn in predicting brain disease aggravation

Alameda at XXI Cong. Naz. della Soc. Italiana di Riabilitazione Neurologica

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Sviluppo di un sistema di monitoraggio non invasivo per prevenire il rischio di ricaduta nella sclerosi multipla: valorizzare il contributo dei pazienti tramite il metodo MULTI-ACT

Alameda at FISM annual conference 2022

Download poster: full document

Alameda brochure

Download pdf: ALAMEDA brochure

Local Community Group

Download pdf: Alameda Italian

Local Community Group

Download pdf: Alameda Romanian