Bridging the Early Diagnosis and Treatment Gap of Brain Diseases via Smart, Connected, Proactive and Evidence-based Technological Interventions

Informazioni relative al progetto

ALAMEDA

ID dell’accordo di sovvenzione: 101017558

DOI

10.3030/101017558

Progetto chiuso

Data della firma CE 3 Dicembre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 31 Dicembre 2023

Finanziato da

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Costo totale

€ 6 053 812,50

Contributo UE

€ 6 053 812,00

Coordinato da

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (16)

Trials Impact Assessment Report

D6.3 Trials Impact Assessment Report [lead: EY; due: M36]: This report will summarize the approach and key evidences emerged along with the social, economic and organizational assessment performed under Task 6.6, including indications on the different perspectives of target stakeholders (e.g. patients, physicians, hospitals, public institutions, etc.).

Demonstrations' Ethical Considerations and Clearance

D6.1 Demonstrations’ Ethical Considerations and Clearance [lead: ΕΥ; due: M28]: This deliverable will contain on ethical considerations and clearance of ALAMEDA services.

Digital Healthcare Innovation Hub Architecture and Specifications

D72 Digital Healthcare Innovation Hub Architecture and Specifications lead UNISYS due M9 This deliverable will contain detailed specifications of the services of the Digital Healthcare Innovation Hub and of its architecture based on T71

Stakeholder Engagement Plan - Interim Implementation Report

D73 Stakeholder Engagement Plan Interim Implementation Report lead WISE due M18 This deliverable will contain an interim implementation report of the stakeholder including patient engagement plan based on T72

Stakeholder Engagement Plan - Final Report

D7.8 Stakeholder Engagement Plan – Final Report [lead: WISE; due: M36]: This deliverable will contain the final report on the stakeholder (including patient) engagement plan, based on T7.2.

Dissemination Plan and Material

D82 Dissemination Plan and Material lead WISE due M6 This deliverable will present the ALAMEDA dissemination and communication strategy plan and graphical identity of the dissemination material

Report on the Analysis of Privacy and Security Implications

D7.7 Report on the Analysis of Privacy and Security Implications [lead: PLU; due: M36]: This deliverable report on the privacy and security implications, collecting the main outcomes of T7.5 in this respect.

Field Trials Report

D6.2 Field Trials Report [lead: FISM; due: M35]: This deliverable will contain a report of all three use cases implementations in Greece, Italy, and Romania. Key lessons learned and next steps will be included.

Description Methodology & Design Principles of ALAMEDA AI Toolkit Version 2.0

D5.4 Description Methodology & Design Principles of ALAMEDA AI Toolkit – Version 2.0 [lead: ICCS; due: M20]: Updated report on ALAMEDA AI Toolkit specifications.

ALAMEDA Services for Third-Party Healthcare Vendors and Developers

D7.4 ALAMEDA Services for Third-Party Healthcare Vendors and Developers [lead: WCS; due: M24]: This deliverable will contain an initial report on testing and validation procedures and services for third-party vendors based on T7.4.

Design of Stakeholder Engagement Plan

D71 Design of Stakeholder Engagement Plan lead WISE due M5 This deliverable will contain the initial plan of stakeholder including patient engagement based on T72

ALAMEDA Digital Healthcare Innovation Hub Prototype

D7.5 ALAMEDA Digital Healthcare Innovation Hub Prototype [lead: UNISYS; due: M34]: Online and fully functional Digital Healthcare Innovation Hub based on T7.3.

Integration and Validation of Third-Party Healthcare

D7.6 Integration and Validation of Third-Party Healthcare Solutions [lead: WCS; due: M34]: This deliverable will contain the final report on integration and validation of third-party healthcare solutions based on T7.4.

Description Methodology & Design Principles of ALAMEDA AI Toolkit Version 1.0

D51 Description Methodology Design Principles of ALAMEDA AI Toolkit Version 10 lead ICCS due M12 Report on ALAMEDA AI Toolkit specifications An updated version of D51 will be provided on month 20

Project Website and Social Media

D8.1 Project Website and Social Media [lead: WISE; due: M3]: This deliverable is output of T8.2 activities.

ALAMEDA Digital Companion App and Experts Dashboards

D52 ALAMEDA Digital Companion App and Experts Dashboards lead WCS due M14 Prototype implementation

Demonstrators, pilots, prototypes (2)

ALAMEDA Toolkit 1.0

D53 ALAMEDA AI Toolkit 10 lead CTL due M18 Working implementation of ALAMEDA AI Toolkit

ALAMEDA Toolkit 2.0

D5.5 ALAMEDA AI Toolkit 2.0 [lead: CTL; due: M30]: Working implementation of ALAMEDA AI Toolkit 2.0.

Pubblicazioni

Book chapters (1)

ALAMEDA: Towards the Technology-Enabled Optimisation of Brain Healthcare Continuum

Autori: Valentina Tageo and ALAMEDA H2020 Project Consortium
Pubblicato in: Healthcare Innovation, 2023, Pagina/e 185-242, ISBN 978-1-80061-420-8
Editore: World Scientific Publishing Europe Ltd.
DOI: 10.1142/9781800614192_0008

Peer reviewed articles (13)

Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol

Autori: Sorici, A.; Băjenaru, L.; Mocanu, I.G.; Florea, A.M.; Tsakanikas, P.; Ribigan, A.C.; Pedullà, L.; Bougea, A.
Pubblicato in: Healthcare, Numero 11, 2023, ISSN 2227-9032
Editore: MDPI
DOI: 10.3390/healthcare11192656

Multi-Sensors for Human Activity Recognition

Autori: Athina Tsanousa; Georgios Meditskos; Stefanos Vrochidis; Ioannis Kompatsiaris
Pubblicato in: Sensors, Numero 8, 2023, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23104617

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

Autori: Konstantina-Maria Giannakopoulou; Ioanna Roussaki; Konstantinos Demestichas
Pubblicato in: Sensors, Numero 4, 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22051799

Shared Decision-Making to Improve Health-Related Outcomes for Adults with Stroke Disease

Autori: Lidia Bajenaru; Alexandru Sorici; Irina Georgiana Mocanu; Adina Magda Florea; Florina Anca Antochi; Athena Cristina Ribigan
Pubblicato in: Healthcare, Numero 11, 2023, ISSN 2227-9032
Editore: MDPI
DOI: 10.3390/healthcare11121803

Impact of<i>APOE</i>genotype on cognition in idiopathic and genetic forms of Parkinson’s disease

Autori: Christos Koros; Kathrin Brockmann; Athina-Maria Simitsi; Anastasia Bougea; Hui Liu; Ann-Kathrin Hauser; Claudia Schulte; Stefanie Lerche; Ioanna Pachi; Nikolaos Papagiannakis; Roubina Antonelou; Athina Zahou; Isabel Wurster; Efthymia Efthymiopoulou; Ion Beratis; Matina Maniati; Marina Moraitou; Helen Michelakakis; Georgios Paraskevas; Sokratis G. Papageorgiou; Constantin Potagas; Dimitra Papadimit
Pubblicato in: Movement Disorders, 2023, ISSN 0885-3185
Editore: John Wiley & Sons Inc.
DOI: 10.1101/2022.11.06.22281991

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

Autori: Stelios, Zygouris; Sofia, Segkouli; Andreas, Triantafyllidis; Dimitrios, Giakoumis; Magdalini, Tsolaki; Konstantinos, Votis; Dimitrios, Tzovaras
Pubblicato in: Journal of Alzheimer's Disease Reports, Numero 1, 2022, ISSN 2542-4823
Editore: IOS Press
DOI: 10.3233/adr-210064

A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines

Autori: Muhammad Sajjad, Fath U Min Ullah, Mohib Ullah, Georgia Christodoulou, Faouzi Alaya Cheikh, Mohammad Hijji, Khan Muhammad, Joel J.P.C. Rodrigues
Pubblicato in: Alexandria Engineering Journal, Numero 68, 2023, Pagina/e 817-840, ISSN 1110-0168
Editore: Alexandria University
DOI: 10.1016/j.aej.2023.01.017

Optimized efficient attention-based network for facial expressions analysis in neurological health care

Autori: Muhammad Munsif, Muhammad Sajjad, Mohib Ullah, Adane Nega Tarekegn, Faouzi Alaya Cheikh, Panagiotis Tsakanikas, Khan Muhammad
Pubblicato in: Computers in Biology and Medicine, Numero Volume 179, 2024, Pagina/e 108822, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2024.108822

InSEption: A Robust Mechanism for Predicting FoG Episodes in PD Patients

Autori: Dimitris Dimoudis; Nikos Tsolakis; Christoniki Magga-Nteve; Georgios Meditskos; Stefanos Vrochidis; Ioannis Kompatsiaris
Pubblicato in: Electronics, Numero 12, 2023, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics12092088

FoGGAN: Generating Realistic Parkinson’s Disease Freezing of Gait Data Using GANs

Autori: Nikolaos Peppes; Panagiotis Tsakanikas; Emmanouil Daskalakis; Theodoros Alexakis; Evgenia Adamopoulou; Konstantinos Demestichas
Pubblicato in: Crossref, Numero 4, 2023, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23198158

Ambiental Factors in Parkinson’s Disease Progression: A Systematic Review

Autori: Anastasia Bougea; Nikolas Papagiannakis; Athina-Maria Simitsi; Elpida Panagiotounakou; Chrysa Chrysovitsanou; Efthalia Angelopoulou; Christos Koros; Leonidas Stefanis
Pubblicato in: MEDICINA, Numero 12, 2023, ISSN 1648-9144
Editore: MDPI
DOI: 10.3390/medicina59020294

Mobile App Interventions for Parkinson’s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review

Autori: Andreas Triantafyllidis; Sofia Segkouli; Stelios Zygouris; Christina Michailidou; Konstantinos Avgerinakis; Evangelia Fappa; Sophia Vassiliades; Anastasia Bougea; Nikos Papagiannakis; Ioannis Katakis; Evangelos Mathioudis; Alexandru Sorici; Lidia Bajenaru; Valentina Tageo; Francesco Camonita; Christoniki Magga-Nteve; Stefanos Vrochidis; Ludovico Pedullà; Giampaolo Brichetto; Panagiotis Tsakanikas
Pubblicato in: Sensors, Numero 6, 2023, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23073396

Balancing between holistic and cumulative sentiment classification

Autori: Pantelis Agathangelou; Ioannis Katakis
Pubblicato in: Online Social Networks and Media, Numero 8, 2022, ISSN 2468-6964
Editore: Elsevier
DOI: 10.1016/j.osnem.2022.100199

Conference proceedings (6)

Towards Detecting Freezing of Gait Events Using Wearable Sensors and Genetic Programming.

Autori: Nega Tarekegn, A., Alaya Cheikh, F., Sajjad, M., Ullah, M.
Pubblicato in: Artificial Intelligence and Soft Computing. ICAISC 2023. Lecture Notes in Computer Science, Numero 14125, 2023, ISBN 978-3-031-42505-9
Editore: Springer, Cham
DOI: 10.1007/978-3-031-42505-9_24

Deep learning based speech emotion recognition for Parkinson patient

Autori: Habib Khan and Mohib Ullah and Fadi Al-Machot and Faouzi Alaya Cheikh and Muhammad Sajjad
Pubblicato in: Electronic Imaging, Numero 9, 2023
Editore: Society for Imaging Science and Technology
DOI: 10.2352/ei.2023.35.9.ipas-298

Ince-PD Model for Parkinson’s Disease Prediction Using MDS-UPDRS I & II and PDQ-8 Score

Autori: Nikos Tsolakis, Christoniki Maga-Nteve, Georgios Meditskos, Stefanos Vrochidis & Ioannis Kompatsiaris
Pubblicato in: Artificial Intelligence Applications and Innovations, 2023, Pagina/e 267–278, ISBN 978-3-031-34111-3
Editore: Springer, Cham
DOI: 10.1007/978-3-031-34111-3_23

An Affective Multi-modal Conversational Agent for Non Intrusive Data Collection from Patients with Brain Diseases

Autori: Chloe Chira, Evangelos Mathioudis, Christina Michailidou, Pantelis Agathangelou, Georgia Christodoulou, Ioannis Katakis, Efstratios Kontopoulos, Konstantinos Avgerinakis
Pubblicato in: Chatbot Research and Design. CONVERSATIONS 2022. Lecture Notes in Computer Science, Numero 13815, 2023, ISSN 1611-3349
Editore: Springer, Cham
DOI: 10.1007/978-3-031-25581-6_9

Enhancing Human Activity Recognition Through Sensor Fusion And Hybrid Deep Learning Model

Autori: A. N. Tarekegn, M. Ullah, F. A. Cheikh and M. Sajjad
Pubblicato in: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023, ISBN 979-8-3503-0261-5
Editore: IEEE
DOI: 10.1109/icasspw59220.2023.10193698

AI and IoT Enabled Sleep Stage Classification

Autori: Zografakis, D.; Tsakanikas, P.; Roussaki, I. and Giannakopoulou, K.
Pubblicato in: Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, Numero 4, 2023, Pagina/e 155-161, ISBN 978-989-758-631-6
Editore: Scitepress
DOI: 10.5220/0011631300003414