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Remote Assessment of Disease and Relapse in Central Nervous System Disorders - Sofia ref.: 115902

Deliverables

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Publications

Cross-cultural and trans-diagnostic facilitators and barriers to remote assessment in healthcare for people with multiple sclerosis, epilepsy and depression: a qualitative analysis




Digital solutions in healthcare: user experiences in accessing and adopting supportive technologies




Tendencies regarding the effect of emotional intensity in inter corpus phoneme-level speech emotion modelling

Author(s): Bogdan Vlasenko, Bjorn Schuller, Andreas Wendemuth
Published in: 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), Issue September, 2016, Page(s) 1-6
DOI: 10.1109/MLSP.2016.7738859

Enhancing Multilingual Recognition of Emotion in Speech by Language Identification

Author(s): Hesam Sagha, Pavel Matějka, Maryna Gavryukova, Filip Povolny, Erik Marchi, Björn Schuller
Published in: Interspeech 2016, Issue September 2016, 2016, Page(s) 2949-2953
DOI: 10.21437/Interspeech.2016-333

Barriers and facilitators to engagement with remote measurement technology for managing health: a systematic review and content analysis of findings




Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings

Author(s): Simone Hantke, Hesam Sagha, Nicholas Cummins, Björn Schuller
Published in: Interspeech 2017, 2017, Page(s) 3137-3141
DOI: 10.21437/Interspeech.2017-409

Research Infrastructure for processing wearable data to improve health

Author(s): Julia Kurps, Maxim Moinat, Joris Borgdorff, Francesco Nobilia, Maximilian Kerz, Nivethika Mahasivam, Irina Pulyakhina, Matthias Dümpelmann, Herculano Campos, Mark Begale, Richard Dobson, Amos Folarin and 'The RADAR-CNS consortium'
Published in: BOSC 2017 https://www.open-bio.org/wiki/BOSC_2017, 2017

Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition

Author(s): Bogdan Vlasenko, Hesam Sagha, Nicholas Cummins, Björn Schuller
Published in: Interspeech 2017, 2017, Page(s) 3266-3270
DOI: 10.21437/Interspeech.2017-887

Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio

Author(s): S. Amiriparian, M. Freitag, N. Cummins, and B. Schuller
Published in: Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Issue november, 2017, Page(s) 3266–3270

The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring

Author(s): Björn Schuller, Stefan Steidl, Anton Batliner, Elika Bergelson, Jarek Krajewski, Christoph Janott, Andrei Amatuni, Marisa Casillas, Amanda Seidl, Melanie Soderstrom, Anne S. Warlaumont, Guillermo Hidalgo, Sebastian Schnieder, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Maximilian Schmitt, Kun Qian, Yue Zhang, George Trigeorgis, Panagiotis Tzirakis, Stefanos Zafeiriou
Published in: Interspeech 2017, 2017, Page(s) 3442-3446
DOI: 10.21437/Interspeech.2017-43

Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis

Author(s): Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Sergey Pugachevskiy, Bjorn Schuller
Published in: 2018 International Joint Conference on Neural Networks (IJCNN), Issue July, 2018, Page(s) 1-7
DOI: 10.1109/ijcnn.2018.8489416

How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives

Author(s): Eva-Maria Rathner, Julia Djamali, Yannik Terhorst, Björn Schuller, Nicholas Cummins, Gudrun Salamon, Christina Hunger-Schoppe, Harald Baumeister
Published in: Interspeech 2018, Issue September, 2018, Page(s) 3388-3392
DOI: 10.21437/interspeech.2018-2040

Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech

Author(s): Jing Han, Zixing Zhang, Maximilian Schmitt, Zhao Ren, Fabien Ringeval, Björn Schuller
Published in: Interspeech 2018, Issue September, 2018, Page(s) 3082-3086
DOI: 10.21437/interspeech.2018-996

RADAR-base - Major Depressive Disorder and Epilepsy Case Studies

Author(s): Callum L. Stewart, Zulqarnain Rashid, Yatharth Ranjan, Shaoxiong Sun, Richard J.B. Dobson, Amos A. Folarin
Published in: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - UbiComp '18, 2018, Page(s) 1735-1743
DOI: 10.1145/3267305.3267540

RADAR-base - A Novel Open Source m-Health Platform

Author(s): Yatharth Ranjan, Maximilian Kerz, Zulqarnain Rashid, Sebastian Böttcher, Richard J.B Dobson, Amos A. Folarin
Published in: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - UbiComp '18, 2018, Page(s) 223-226
DOI: 10.1145/3267305.3267579

RADAR-base - Epilepsy Case Study

Author(s): Zulqarnain Rashid, Callum L. Stewart, Sebastian Böttcher, Yatharth Ranjan, Richard J.B Dobson, Amos A. Folarin
Published in: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - UbiComp '18, 2018, Page(s) 227-230
DOI: 10.1145/3267305.3267578

Investigating user needs and integration of Remote Measuring Technologies into Clinical Practice

Author(s): Lang AR, Craven MC, Morriss RM, Hollis C.
Published in: Proceedings of the 20th Triennial Congress of the International Ergonomics Association. Florence, Italy; 2018., 2018

State of Mind: Classification through Self-reported Affect and Word Use in Speech.

Author(s): Eva-Maria Rathner, Yannik Terhorst, Nicholas Cummins, Björn Schuller, Harald Baumeister
Published in: Interspeech 2018, 2018, Page(s) 267-271
DOI: 10.21437/interspeech.2018-2043

The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical and Self-Assessed Affect, Crying and Heart Beats

Author(s): Björn Schuller, Stefan Steidl, Anton Batliner, Peter B. Marschik, Harald Baumeister, Fengquan Dong, Simone Hantke, Florian B. Pokorny, Eva-Maria Rathner, Katrin D. Bartl-Pokorny, Christa Einspieler, Dajie Zhang, Alice Baird, Shahin Amiriparian, Kun Qian, Zhao Ren, Maximilian Schmitt, Panagiotis Tzirakis, Stefanos Zafeiriou
Published in: Interspeech 2018, 2018, Page(s) 122-126
DOI: 10.21437/interspeech.2018-51

Evolving Learning for Analysing Mood-Related Infant Vocalisation

Author(s): Zixing Zhang, Jing Han, Kun Qian, Björn Schuller
Published in: Interspeech 2018, Issue September, 2018, Page(s) 142-146
DOI: 10.21437/interspeech.2018-1914

Using multimodal biosignal data from wearables to detect focal motor seizures in individual epilepsy patients

Author(s): Sebastian Böttcher, Nikolay V. Manyakov, Nino Epitashvili, Amos Folarin, Mark P. Richardson, Matthias Dümpelmann, Andreas Schulze-Bonhage, Kristof Van Laerhoven
Published in: Proceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction, Issue September 2019, 2019, Page(s) 1-6
DOI: 10.1145/3361684.3361687

Challenges & solutions in a hybrid mHealth mobile app

Author(s): Yatharth Ranjan, Amos A Folarin, Callum Stewart, Pauline Conde, Richard Dobson, Zulqarnain Rashid
Published in: Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers - UbiComp/ISWC '19, Issue September, 2019, Page(s) 183-186
DOI: 10.1145/3341162.3343778

Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features

Author(s): Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Björn Schuller
Published in: Artificial Intelligence in Medicine, Issue 10259, 2017, Page(s) 209-214
DOI: 10.1007/978-3-319-59758-4_23

You Sound Like Your Counterpart: Interpersonal Speech Analysis

Author(s): Jing Han, Maximilian Schmitt, Björn Schuller
Published in: Speech and Computer - 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings, Issue 11096, 2018, Page(s) 188-197
DOI: 10.1007/978-3-319-99579-3_20

Artificial intelligence to aid the detection of mood disorders

Author(s): Nicholas Cummins, Faith Matcham, Julia Klapper, Björn Schuller
Published in: Artificial Intelligence in Precision Health, Issue Book: Artificial Intelligence in Precision Health – From concept to applications, 2020, Page(s) 231-255
DOI: 10.1016/b978-0-12-817133-2.00010-0

Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings

Author(s): Sara Simblett, Ben Greer, Faith Matcham, Hannah Curtis, Ashley Polhemus, José Ferrão, Peter Gamble, Til Wykes
Published in: Journal of Medical Internet Research, Issue 20/7, 2018, Page(s) e10480, ISSN 1438-8871
DOI: 10.2196/10480

Pre-ictal heart rate changes: A systematic review and meta-analysis

Author(s): Elisa Bruno, Andrea Biondi, Mark P. Richardson
Published in: Seizure, Issue 55, 2018, Page(s) 48-56, ISSN 1059-1311
DOI: 10.1016/j.seizure.2018.01.003

auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks

Author(s): M. Freitag, S. Amiriparian, S. Pugachevskiy, N. Cummins, and B. Schuller
Published in: The Journal of Machine Learning Research (JMLR), Issue vol 19, 2017, Page(s) 1-5, ISSN 1532-4435

Stacked denoising autoencoders for sentiment analysis: a review

Author(s): Hesam Sagha, Nicholas Cummins, Björn Schuller
Published in: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Issue 7/5, 2017, Page(s) e1212, ISSN 1942-4787
DOI: 10.1002/widm.1212

RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data using Sensors, Wearables and Mobile Devices

Author(s): Yatharth Ranjan,, Zulqarnain Rashid, Callum Stewart, Pauline Conde, Mark Begale, Sebastian Boetcher, The Hyve, Richard Dobson, Amos Folarin, The RADAR-CNS Consortium
Published in: JMIR mHealth and uHealth, Issue e11734, 2019, ISSN 2291-5222
DOI: 10.2196/11734

Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol

Author(s): F. Matcham, C. Barattieri di San Pietro, V. Bulgari, G. de Girolamo, R. Dobson, H. Eriksson, A. A. Folarin, J. M. Haro, M. Kerz, F. Lamers, Q. Li, N. V. Manyakov, D. C. Mohr, I. Myin-Germeys, V. Narayan, Penninx BWJH, Y. Ranjan, Z. Rashid, A. Rintala, S. Siddi, S. K. Simblett, T. Wykes, M. Hotopf
Published in: BMC Psychiatry, Issue 19/1, 2019, ISSN 1471-244X
DOI: 10.1186/s12888-019-2049-z

Ictal hypoxemia: A systematic review and meta-analysis

Author(s): Elisa Bruno, Giulia Maira, Andrea Biondi, Mark P Richardson
Published in: Seizure, Issue 63, 2018, Page(s) 7-13, ISSN 1059-1311
DOI: 10.1016/j.seizure.2018.10.011

Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis

Author(s): Sara Simblett, Faith Matcham, Sara Siddi, Viola Bulgari, Chiara Barattieri di San Pietro, Jorge Hortas López, José Ferrão, Ashley Polhemus, Josep Maria Haro, Giovanni de Girolamo, Peter Gamble, Hans Eriksson, Matthew Hotopf, Til Wykes
Published in: JMIR mHealth and uHealth, Issue 7/1, 2019, Page(s) e11325, ISSN 2291-5222
DOI: 10.2196/11325

Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

Author(s): Nicholas Cummins, Alice Baird, Björn W. Schuller
Published in: Methods, Issue 151, 2018, Page(s) 41-54, ISSN 1046-2023
DOI: 10.1016/j.ymeth.2018.07.007

Emotional outcomes in clinically isolated syndrome and early phase multiple sclerosis: a systematic review and meta-analysis

Author(s): A. Rintala, F. Matcham, M. Radaelli, G. Locafaro, S. Simblett, C. Barattieri di San Pietro, V. Bulgari, P. Burke, J. Devonshire, J. Weyer, T. Wykes, G. Comi, M. Hotopf, I. Myin-Germeys
Published in: Journal of Psychosomatic Research, Issue 124, 2019, Page(s) 109761, ISSN 0022-3999
DOI: 10.1016/j.jpsychores.2019.109761

Engaging across dimensions of diversity: A cross-national perspective on mHealth tools for managing relapsing remitting and progressive multiple sclerosis

Author(s): Sara K. Simblett, Joanne Evans, Ben Greer, Hannah Curtis, Faith Matcham, Marta Radaelli, Patricia Mulero, Maria Jesús Arévalo, Ashley Polhemus, Jose Ferrao, Peter Gamble, Giancarlo Comi, Til Wykes
Published in: Multiple Sclerosis and Related Disorders, Issue 32, 2019, Page(s) 123-132, ISSN 2211-0348
DOI: 10.1016/j.msard.2019.04.020

Human-Centered Design Strategies for Device Selection in mHealth Programs: Development of a Novel Framework and Case Study

Author(s): Ashley Marie Polhemus, Jan Novák, Jose Ferrao, Sara Simblett, Marta Radaelli, Patrick Locatelli, Faith Matcham, Maximilian Kerz, Janice Weyer, Patrick Burke, Vincy Huang, Marissa Fallon Dockendorf, Gergely Temesi, Til Wykes, Giancarlo Comi, Inez Myin-Germeys, Amos Folarin, Richard Dobson, Nikolay V Manyakov, Vaibhav A Narayan, Matthew Hotopf
Published in: JMIR mHealth and uHealth, Issue 8/5, 2020, Page(s) e16043, ISSN 2291-5222
DOI: 10.2196/16043

The RADAR platform: an open source generalised mHealth data pipeline

Author(s): Nobilia F, Kerz M, Borgdorff J, Campos H4, Moinat M, Mahasivam N, Begale M, Dobson R, Folarin AA; The RADAR-CNS Consortium
Published in: 7th International Conference on Digital Health, July 2017 https://hijournal.bcs.org/index.php/jhi/article/view/939/979, 2017