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

Risultati finali

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 CVS

Report on the numbers of each type of patient recruited at the mid-point of the Clinical Validation Study.

Risk assessment process and management procedure

Procedure for assessing risks and monitoring mitigation actions

Project Handbook

Quick reference guide for all IDEA-FAST project participants

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

Public version of report relating to D2.5

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.

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.

Requirements specification data analytics software package

The different requirements for data analytics software will be defined.

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.

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 IDEA-FAST.

Public report on the challenges of sharing of digital device data

Public version of D8.3.

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.

Specification of IDEA-FAST DMP

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

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.

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.

Definitions of the exploitation and socio-economic evaluation framework

We will conduct a socio-economic impact assessment based on a cost-benefit assessment (CBA) framework.

Definition of assessment protocol for device-specific digital endpoints

Formulation of performance measures, evaluation criteria and protocols.

Public version of IDEA-FAST clinical and sensor data standards

Public version of D5.3.

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.

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.

Pubblicazioni

Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities

Autori: Anna-Katharine Brem, Sajini Kuruppu, Casper de Boer, Marijn Muurling, Ana Diaz-Ponce, Dianne Gove, Jelena Curcic, Andrea Pilotto, Wan-Fai Ng, Nicholas Cummins, Kristina Malzbender, Vera J. M. Nies, Gul Erdemli, Johanna Graeber, Vaibhav A. Narayan, Lynn Rochester, Walter Maetzler, Dag Aarsland
Pubblicato in: Frontiers in Neurology, Numero 14, 2023, ISSN 1664-2295
Editore: Frontiers Research Foundation
DOI: 10.3389/fneur.2023.1210974

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

Characterizing Patient-Reported Fatigue Using Electronic Diaries in Neurodegenerative and Immune-Mediated Inflammatory Diseases: Observational Study

Autori: Adrien Bennetot, Rana Zia Ur Rehman, Robbin Romijnders, Zhi Li, Victoria Macrae, Kristen Davies, Wan-Fai Ng, Walter Maetzler, Jennifer Kudelka, Hanna Hildesheim, Kirsten Emmert, Emma Paulides, C Janneke van der Woude, Ralf Reilmann, Svenja Aufenberg, Meenakshi Chatterjee, Nikolay V Manyakov, Clémence Pinaud, Stefan Avey
Pubblicato in: JMIR Formative Research, Numero 9, 2025, Pagina/e e65879-e65879, ISSN 2561-326X
Editore: JMIR Publications Inc.
DOI: 10.2196/65879

Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test)

Autori: Jose Albites-Sanabria, Pierpaolo Palumbo, Ilaria D’Ascanio, Tecla Bonci, Marco Caruso, Francesca Salis, Andrea Cereatti, Silvia Del Din, Lisa Alcock, Arne Kuederle, Anisoara Paraschiv-Ionescu, Eran Gazit, Felix Kluge, Cameron Kirk, M. Encarna Micó-Amigo, Kirsty Scott, Clint Hansen, Jochen Klenk, Lars Schwickert, Dimitrios Megaritis, Ioannis Vogiatzis, Clemens Becker, Walter Maetzler, Jeffrey M.
Pubblicato in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numero 33, 2025, Pagina/e 717-727, ISSN 1534-4320
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsre.2025.3531723

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

Reverse Engineering of Digital Measures: Inviting Patients to the Conversation

Autori: Ieuan Clay; Nele Peerenboom; Dana E Connors; Steven Bourke; Alison Keogh; Katarzyna Wac; Tova Gur-Arie; Justin Baker; Christopher Bull; Andrea Cereatti; Francesca Cormack; Damien Eggenspieler; Luca Foschini; Raluca Ganea; Peter MA Groenen; Nicole Gusset; Elena Izmailova; Christoph M Kanzler; Lada Leyens; Kate Lyden; Arne Mueller; Julian Nam; Wan-Fai Ng; David Nobbs; Foteini Orfaniotou; Thanneer Ma
Pubblicato in: Digital Biomarkers, Numero 7(1), 2023, ISSN 2504-110X
Editore: S. Karger AG
DOI: 10.1159/000530413

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

The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review

Autori: Gemma L. Bate, Cameron Kirk, Rana Z. U. Rehman, Yu Guan, Alison J. Yarnall, Silvia Del Din, Rachael A. Lawson
Pubblicato in: Sensors, Numero 23, 2025, Pagina/e 4881, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23104881

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

Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults

Autori: Khalid Abdul Jabbar; Javad Sarvestan; Rana Zia Ur Rehman; Sue Lord; Ngaire Kerse; Ruth Teh; Silvia Del Din
Pubblicato in: Sensors, Numero 23(10), 2023, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23104605

ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation

Autori: Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez
Pubblicato in: IEEE Access, Numero 11, 2024, Pagina/e 15555-15566, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3244651

Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases

Autori: Robbin Romijnders, Arash Atrsaei, Rana Zia Ur Rehman, Lea Strehlow, Jèrôme Massoud, Chloe Hinchliffe, Victoria Macrae, Kirsten Emmert, Ralf Reilmann, C. Janneke van der Woude, Geert Van Gassen, Frédéric Baribaud, Teemu Ahmaniemi, Meenakshi Chatterjee, Bruno Kusznir Vitturi, Clémence Pinaud, Jérôme Kalifa, Stefan Avey, Wan-Fai Ng, Clint Hansen, Nikolay V. Manyakov, Walter Maetzler
Pubblicato in: npj Digital Medicine, Numero 8, 2025, ISSN 2398-6352
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s41746-024-01386-0

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

Regulatory Qualification of a Cross-Disease Digital Measure: Benefits and Challenges from the Perspective of IMI Consortium IDEA-FAST

Autori: David Nobbs; Wojciech Piwko; Christopher Bull; Francesca Cormack; Teemu Ahmaniemi; Sebastian C. Holst; Meenakshi Chatterjee; Walter Maetzler; Stefan Avey; Wan Fai Ng; IDEA-FAST Consortium
Pubblicato in: Digital Biomarkers, Numero 7(1), 2023, ISSN 2504-110X
Editore: S. Karger AG
DOI: 10.1159/000533189

Technology acceptance of digital devices for home use: Qualitative results of a mixed methods study

Autori: Johanna Graeber, Elke Warmerdam, Svenja Aufenberg, Christopher Bull, Kristen Davies, Jan Dixon, Kirsten Emmert, Claire Judd, Corina Maetzler, Ralf Reilmann, Wan-Fai Ng, Victoria Macrae, Walter Maetzler, and Hanna Kaduszkiewicz on behalf of the IDEA-FAST consortium
Pubblicato in: Digital Health, Numero 9, 2023, ISSN 2055-2076
Editore: Sage Publications Ltd
DOI: 10.1177/20552076231181239

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

Autori: Walter Maetzler; Leonor Correia Guedes; Kirsten Nele Emmert; Jennifer Kudelka; Hanna Luise Hildesheim; Emma Paulides; Hayley Connolly; Kristen Davies; Valentina Dilda; Teemu Ahmaniemi; Luisa Avedano; Raquel Bouça-Machado; Michael Chambers; Meenakshi Chatterjee; Peter Gallagher; Johanna Graeber; Corina Maetzler; Hanna Kaduszkiewicz; Norelee Kennedy; Victoria Macrae; Laura Carrasco Marín; Anusha M
Pubblicato in: Digital Biomarkers, Numero 8(1), 2024, ISSN 2504-110X
Editore: S. Karger AG
DOI: 10.1159/000536568

Predicting Daytime Sleepiness from ECG-based Respiratory Rate Using Deep Learning

Autori: "\\""Emmi Antikainen; Rana Zia Ur Rehman; Teemu Ahmaniemi; Meenakshi Chatterjee\\"""
Pubblicato in: Proceedings of Computing in Cardiology conference 2022, Numero 49, 2022, ISSN 2325-887X
Editore: IEEE
DOI: 10.22489/cinc.2022.100

Clinical dashboards for Parkinson’s Disease monitoring: a systematic review

Autori: Filipa Ferreira-Brito, Diogo Branco, Margarida Móteiro, Joaquim J Ferreira, Tiago Guerreiro
Pubblicato in: Jornal da Sociedade das Ciências Médicas de Lisboa, Numero 168(1), 2024, ISSN 0304-4769
Editore: Sociedade das Ciências Médicas de Lisboa
DOI: 10.57849/ulisboa.fm.jscml.0000008.2024

How Time Window Influences Biometrics Performance: An EEG-Based Fingerprint Connectivity Study

Autori: Luca Didaci, Sara Maria Pani, Claudio Frongia, Matteo Fraschini
Pubblicato in: Signals, Numero 5, 2025, Pagina/e 597-604, ISSN 2624-6120
Editore: MDPI AG
DOI: 10.3390/signals5030033

Using Digital Technology to Quantify Habitual Physical Activity in Community Dwellers With Cognitive Impairment: Systematic Review

Autori: Ríona Mc Ardle, Khalid Abdul Jabbar, Silvia Del Din, Alan J Thomas, Louise Robinson, Ngaire Kerse, Lynn Rochester, Michele Callisaya
Pubblicato in: Journal of Medical Internet Research, Numero 25, 2023, Pagina/e e44352, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/44352

Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility study

Autori: Chloe Hinchliffe, Rana Zia Ur Rehman, Clemence Pinaud, Diogo Branco, Dan Jackson, Teemu Ahmaniemi, Tiago Guerreiro, Meenakshi Chatterjee, Nikolay V. Manyakov, Ioannis Pandis, Kristen Davies, Victoria Macrae, Svenja Aufenberg, Emma Paulides, Hanna Hildesheim, Jennifer Kudelka, Kirsten Emmert, Geert Van Gassen, Lynn Rochester, C. Janneke van der Woude, Ralf Reilmann, Walter Maetzler, Wan-Fai Ng, Sil
Pubblicato in: Journal of NeuroEngineering and Rehabilitation, Numero 21, 2024, ISSN 1743-0003
Editore: BioMed Central
DOI: 10.1186/s12984-024-01390-1

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

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

Embracing Consumer-level UWB-equipped Devices for Fine-grained Wireless Sensing

Autori: Fusang Zhang, Zhaoxin Chang, Jie Xiong, Junqi Ma, Jiazhi Ni, Wenbo Zhang, Beihong Jin, Daqing Zhang
Pubblicato in: Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Numero 6(4), 2022, ISSN 2474-9567
Editore: Association for Computing Machinery
DOI: 10.1145/3569487

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

Co-designing Customizable Clinical Dashboards with Multidisciplinary Teams: Bridging the Gap in Chronic Disease Care

Autori: Diogo Branco, Margarida Móteiro, Raquel Bouça-Machado, Rita Miranda, Tiago Reis, Élia Decoroso, Rita Cardoso, Joana Ramalho, Filipa Rato, Joana Malheiro, Diana Miranda, Verónica Caniça, Filipa Pona-Ferreira, Daniela Guerreiro, Mariana Leitão, Alexandra Saúde Braz, Joaquim J Ferreira, Tiago Guerreiro
Pubblicato in: Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024, Pagina/e 1-18
Editore: ACM
DOI: 10.1145/3613904.3642618

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

Risultati finali

Pubblicazioni

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