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CORDIS - Risultati della ricerca dell’UE
CORDIS

Identifying Digital Endpoints to Assess FAtigue, Sleep and acTivities in daily living in Neurodegenerative disorders and Immune-mediated inflammatory diseases

Risultati finali

Risk assessment process and management procedure

Procedure for assessing risks and monitoring mitigation actions

First version of the CVS protocol

We will collate information concerning national regulatory requirements via ECRIN national CTUs for the Clinical Validation Study protocol preparation

Mid-term recruitment report of the FS

Report on the numbers of each type of patient recruited at the mid-point of the feasibility study.

Public report on the challenges of sharing of digital device data

Public version of D83

Requirements specification data analytics software package

The different requirements for data analytics software will be defined

Data Management Plan

Initial version of Data Management Plan (to be updated throughout the project as necessary). The Data Management Plan will also address the following: 1. The consortium members must confirm that they have appointed Data Protection Officers (DPOs) and the contact details of the relevant DPO are made available to all data subjects involved in the research. For the consortium members not required to appoint a DPO under the General Data Protection Regulation a detailed data protection policy for the project must be elaborated and kept on file. It must be provided to IMI JU upon request. 2. For the research involving profiling, the applicants must provide, prior to the start of the relevant research activity, an explanation on how the data subjects will be informed of the existence of the profiling, its possible consequences and how their fundamental rights will be safeguarded. 3. For the processing of previously collected personal data, an explicit confirmation that the applicants have lawful basis for the data processing and that the appropriate technical and organisational measures are in place to safeguard the rights of the data subjects must be provided. Relevant authorisations must be obtained and kept on file. The documents must be provided to IMI JU upon request.

Specification of IDEA-FAST DMP

Specification of a secure, fit-for-purpose, adaptable data management platform based on the output of the eTRIKS project.

The model informed consent for the CVS

Building upon experiences in other projects model Informed Consent Forms will be developed which will be used as the basis for data transfers within IDEAFAST

Detailed dissemination plan

Plans will be drawn up to regularly highlight the project developments at relevant conferences, in peer-reviewed journals and at dedicated workshops organised by the consortium. All journal publications will be open access. The dissemination plans, which will be continuously reviewed and updated, will identify key project related publications, which will be earmarked for “gold” open access. Dissemination will also be assured through the establishment and maintenance of a project website from the start of the project, with links to the participating researchers, clinicians and institutions.

Public version of IDEA-FAST clinical and sensor data standards

Public version of D53

Report on final version of the clinical operation data management system for the CVS

Public version of report relating to D25

Definition of assessment protocol for device-specific digital endpoints

Formulation of performance measures, evaluation criteria and protocols.

Definitions of the exploitation and socio-economic evaluation framework

We will conduct a socioeconomic impact assessment based on a costbenefit assessment CBA framework

The model informed consent for the FS

Building upon experiences in other projects, model Informed Consent Forms will be developed which will be used as the basis for data transfers within IDEA-FAST.

First study subject approvals package of the CVS

UKSH and lead CTU together with ECRIN will prepare all the study documentation pack for the relevant national submissions to ethics and regulators as necessary

First study subject approvals package of the FS

The CKI-TF will prepare all study documentation and support the translation of the document to the local language from English. This will be used to gain the necessary approvals.

Mid-term recruitment report of the CVS

Report on the numbers of each type of patient recruited at the midpoint of the Clinical Validation Study

Project Handbook

Quick reference guide for all IDEA-FAST project participants

Finalised master documents in English for ethical/regulatory submissions, including study protocol & PIS/ICF for the CVS

The final protocol and informed consent forms will be submitted to all appropriate regulatory authorities ethics committees and other appropriate authorities as applicable per country law

Device selection criteria and documents / processes for gathering evidence

We will use unified testing protocols, feedback forms and data collection mechanisms that will enable a centralized body of the evidence required to inform the device and software/application selection process. The selection process will combine: general information on the devices (e.g. technical specifications), existing data, and laboratory and situated (“in-the-wild”) testing with expert and non-expert users to inform a decision based on: a) the ability of the devices to efficiently capture reliable sensor data, and b) the usability and user experience when using the devices.

Pubblicazioni

Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study

Autori: Luan Chen, Xujun Ma, Meenakshi Chatterjee, Juha M Kortelainen, Teemu Ahmaniemi, Walter Maetzler, Pei Wang, Daqing Zhang
Pubblicato in: Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, ISBN 978-1-7281-2783-5
Editore: IEEE
DOI: 10.1109/embc48229.2022.9870923

Improving Parkinson Detection using Dynamic Features from Evoked Expressions in Video

Autori: Luis F. Gomez; Aythami Morales; Juan R. Orozco-Arroyave; Roberto Daza; Julian Fierrez
Pubblicato in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, ISSN 2160-7508
Editore: IEEE
DOI: 10.1109/cvprw53098.2021.00172

WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild

Autori: André Rodrigues; André R.B. Santos; Kyle Montague; Hugo Nicolau; Tiago Guerreiro
Pubblicato in: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp '21), Numero September 2021, 2021, ISBN 9781450384612
Editore: Association for Computing Machinery
DOI: 10.1145/3460418.3482872

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment

Autori: Alfonso Ortega; Julian Fierrez; Aythami Morales; Zilong Wang; Tony Ribeiro
Pubblicato in: 2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), Numero 5th - 9th January 2021, 2021
Editore: IEEE
DOI: 10.1109/wacvw52041.2021.00013

Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments

Autori: Diogo Branco, Patrick Carrington, Silvia Del Din, Afsaneh Doryab, Hristijan Gjoreski, Tiago Guerreiro, Roisin McNaney, Kyle Montague, Alisha Pradhan, André Rodrigues, Julio Vega
Pubblicato in: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp '21), 2021, ISSN 978-1-4503-8461
Editore: ACM
DOI: 10.1145/3460418.3479271

Data Contribution Summaries for Patient Engagement in Multi-Device Health Monitoring Research

Autori: Jay Rainey, David Verweij, Colin Dodds, Johanna Graeber, Farzaneh Farhadi, Ridita Ali, Viana Zhang, Christopher N. Bull, Jan David Smeddinck
Pubblicato in: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp '21), Numero September 2021, 2021
Editore: Association for Computing Machinery
DOI: 10.1145/3460418.3479371

mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation

Autori: Roberto Daza; Aythami Morales; Julian Fierrez; Ruben Tolosana
Pubblicato in: ICMI Companion, Numero October 2020, 2020, ISBN 9781450380027
Editore: Association for Computing Machinery
DOI: 10.1145/3395035.3425257

Investigating the Tradeoffs of Everyday Text-Entry Collection Methods

Autori: André Rodrigues, Hugo Nicolau, André Santos, Diogo Branco, Jay Rainey, David Verweij, Jan David Smeddinck, Kyle Montague, Tiago Guerreiro
Pubblicato in: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022, ISBN 978-1-4503-9157-3
Editore: ACM
DOI: 10.1145/3491102.3501908

Smartphone Sensors For Modeling Human-Computer Interaction: General Outlook And Research Datasets For User Authentication

Autori: Alejandro Acien, Aythami Morales, Ruben Vera-Rodriguez, Julian Fierrez
Pubblicato in: Proceedings of the IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020
Editore: IEEE
DOI: 10.1109/compsac48688.2020.00-81

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning

Autori: Alfonso Ortega; Julian Fierrez; Aythami Morales; Zilong Wang; Marina de la Cruz; César Luis Alonso; Tony Ribeiro
Pubblicato in: Computers, Numero 10/11, 2021, ISSN 2073-431X
Editore: MDPI
DOI: 10.3390/computers10110154

Joint controllers in large research consortia: a funnel model to distinguish controllers in the sense of the GDPR from other partners in the consortium

Autori: Evert-Ben Van Veen; Martin Boeckhout; Irene Schlünder; Jan Willem Boiten; Vasco Dias
Pubblicato in: Open Research Europe, Numero 4, 2022, ISSN 2732-5121
Editore: European Commission
DOI: 10.12688/openreseurope.14825.1

TypeNet: Deep Learning Keystroke Biometrics

Autori: Alejandro Acien; Aythami Morales; John V. Monaco; Ruben Vera-Rodriguez; Julian Fierrez
Pubblicato in: IEEE Transactions on Biometrics, Behavior, and Identity Science, Numero 4(1), 2022, ISSN 2637-6407
Editore: IEEE
DOI: 10.1109/tbiom.2021.3112540

Making Sense of Sleep

Autori: Bing Zhai, Ignacio Perez-Pozuelo, Emma A. D. Clifton, Joao Palotti, Yu Guan
Pubblicato in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Numero 4/2, 2020, Pagina/e 1-33, ISSN 2474-9567
Editore: Association for Computing Machinery
DOI: 10.1145/3397325

Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health

Autori: Marcos Faundez-Zanuy, Julian Fierrez, Miguel A. Ferrer, Moises Diaz, Ruben Tolosana, Réjean Plamondon
Pubblicato in: Cognitive Computation, Numero 12, 2020, ISSN 1866-9956
Editore: Springer Verlag
DOI: 10.1007/s12559-020-09755-z

Modernizing Daily Function Assessment in Parkinson's Disease Using Capacity, Perception, and Performance Measures

Autori: Walter Maetzler, Lynn Rochester, Roongroj Bhidayasiri, Alberto J. Espay, Alvaro Sánchez‐Ferro, Janet M.T. Uem
Pubblicato in: Movement Disorders, Numero 36/1, 2021, Pagina/e 76-82, ISSN 0885-3185
Editore: John Wiley & Sons Inc.
DOI: 10.1002/mds.28377

Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective

Autori: Truong, Nguyen; Sun, Kai; Wang, Siyao; Guitton, Florian; Guo, Yike
Pubblicato in: Computers & Security, Numero 110, 2021, ISSN 0167-4048
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cose.2021.102402

A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust

Autori: Truong, Nguyen; Lee, Gyu Myoung; Sun, Kai; Guitton, Florian; Guo, Yike
Pubblicato in: Future Generation Computer Systems, Numero 124, 2021, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2021.05.025

Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning

Autori: Rana Zia Ur Rehman, Yu Guan, Jian Qing Shi, Lisa Alcock, Alison J. Yarnall, Lynn Rochester and Silvia Del Din
Pubblicato in: Frontiers in Aging Neuroscience, Numero 14, 2022, ISSN 1663-4365
Editore: Frontiers Research Foundation
DOI: 10.3389/fnagi.2022.808518

Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study

Autori: Emmi, Antikainen; Haneen, Njoum; Jennifer, Kudelka; Diogo, Branco; Rana Zia Ur, Rehman; Victoria, Macrae; Kristen, Davies; Hanna, Hildesheim; Kirsten, Emmert; Ralf, Reilmann; C, Janneke van der Woude; Walter, Maetzler; Wan-Fai, Ng; Patricio, O'Donnell; Geert, Van Gassen; Frédéric, Baribaud; Ioannis, Pandis; Nikolay V, Manyakov; Mark, van Gils; Teemu, Ahmaniemi; Meenakshi, Chatterjee
Pubblicato in: Frontiers in Physiology, Numero 13, 2022, ISSN 1664-042X
Editore: Frontiers Research Foundation
DOI: 10.3389/fphys.2022.968185

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