A decision support system for self-management of low back pain

Risultati finali

Demonstration of web based clinician’s dashboard (DEMCD)

This deliverable will be a demonstration of the clinician's dashboard functionalities.

First version of smartphone (DEMV1) SELFBACK application on iOS

This deliverable will be an ios application with the first functionalities

Physical Activity Recognition (PAR) software component for SELFBACK

Software that encapsulates activity recognition from wearable devices. It will analyse the data streams and identify presence of relevant activities.

Demonstration of web and mobile software interacting with connected devices such as a wristband that monitors patient activities (DEMFIN)

This deliverable will be a demonstration of the interactions between application and connected devices

Demonstration of localized software (DEMLOC) in multiple languages

This deliverable will be a demonstration of each languages integration

Demonstration of the final connected SELFBACK mobile application (DEMCON) on iOS and Android

This deliverable will be a demonstration of the applications functionalities on iOS and Android

Demonstration of web-based questionnaire (DEMQ)

This deliverable will be a demonstration of the questionnaire (user side and administrator side).

Intervention mapping protocol (IMAP)

This deliverable contains the description of the participatory planning group as well as an evaluation plan for the intervention.

Results from WP2 pilot study (PILOT) and empirical evaluations of algorithms

This is a report (deliverable) on the survey and interview findings. It will inform refinements to SelfBack prior to its use in the RCT. It will also include empirical analysis of all algorithms conducted on benchmark activity recognition datasets.

Report on go-to-market (GOTOM) strategy and product development

This deliverable is a strategic report on the future roll out of the service products, and adaptations that can be considered for future service products.

Literature review (LIT)

This deliverables will provide existing evidence on effect of using technology based self-managing both in patient groups in general and specifically among low back patients.

Knowledge management plan (KMP)

This deliverable will provide a listing of the background and foreground IP, and how this Intellectual Property is managed towards both the scientific and the business community.

Structuring of information collected by questionnaires (QUEST)

This deliverable will contain a description of which questions will be asked to the patient. It contains information on how we build up the questionaire based on existing ones from other projects or the literature.

Results after the implementation (IMPL) of the business plan

This deliverable is a first evaluation of the projections made in the business plan and provide a look into future potential of the service products.

Trial (TRIAL) protocol

This deliverable will be a published detailed trial protocol paper for the the RCT

Dissemination and communication plan (DCP)

This deliverable will describe the way the information on the results of the project will be chanelled to the different stakeholders.

Process evaluation (PROEV) and effect study, randomised controlled trial (

This deliverable will document the implementability of the intervention It will include information about barriers and facilitators to uptake utilisation and likely sustainability of the intervention

Final version data management plan (DMP2)

This deliverable contains an final version of the Data Management Plan.

User Intervention Modelling Framework (UIMF)

This framework will identify the different categories of behaviour how to identify that behaviour from recognised activities and finally the appropriate form of intervention for each behaviour category

Pubblicazioni

App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation

Autori: Charlotte Diana Nørregaard Rasmussen, Malene Jagd Svendsen, Karen Wood, Barbara I Nicholl, Frances S Mair, Louise Fleng Sandal, Paul Jarle Mork, Karen Søgaard, Kerstin Bach, Mette Jensen Stochkendahl
Pubblicato in: JMIR Research Protocols, Numero 9/10, 2020, Pagina/e e20308, ISSN 1929-0748
Editore: JMIR Publications
DOI: 10.2196/20308

Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study

Autori: Anne Lovise Nordstoga, Kerstin Bach, Sadiq Sani, Nirmalie Wiratunga, Paul Jarle Mork, Morten Villumsen, Kay Cooper
Pubblicato in: JMIR Rehabilitation and Assistive Technologies, Numero 7/2, 2020, Pagina/e e18729, ISSN 2369-2529
Editore: JMIR Publications
DOI: 10.2196/18729

A knowledge-light approach to personalised and open-ended human activity recognition

Autori: Anjana Wijekoon, Nirmalie Wiratunga, Sadiq Sani, Kay Cooper
Pubblicato in: Knowledge-Based Systems, Numero 192, 2020, Pagina/e 105651, ISSN 0950-7051
Editore: Elsevier BV
DOI: 10.1016/j.knosys.2020.105651

Digital Support Interventions for the Self-Management of Low Back Pain: A Systematic Review

Autori: Barbara I Nicholl, Louise F Sandal, Mette J Stochkendahl, Marianne McCallum, Nithya Suresh, Ottar Vasseljen, Jan Hartvigsen, Paul J Mork, Per Kjaer, Karen Søgaard, Frances S Mair
Pubblicato in: Journal of Medical Internet Research, Numero 19/5, 2017, Pagina/e e179, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/jmir.7290

A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project

Autori: Paul Jarle Mork, Kerstin Bach
Pubblicato in: JMIR Research Protocols, Numero 7/7, 2018, Pagina/e e167, ISSN 1929-0748
Editore: JMIR Publications
DOI: 10.2196/resprot.9379

Can Data-driven Self-Management Reduce Low Back Pain?

Autori: Kerstin Bach, Paul Jarle Mork, Agnar Aamodt
Pubblicato in: ERCIM News, Numero 104, January 2016, 2016, Pagina/e 30-31, ISSN 0926-4981
Editore: ERCIM EEIG, B.P. 93

Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain

Autori: Kerstin Bach, Cindy Marling, Paul Jarle Mork, Agnar Aamodt, Frances S. Mair, Barbara I. Nicholl
Pubblicato in: Journal of Intelligent Information Systems, Numero 52/2, 2019, Pagina/e 269-284, ISSN 0925-9902
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10844-018-0539-y

An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial

Autori: Louise Fleng Sandal, Mette Jensen Stochkendahl, Malene Jagd Svendsen, Karen Wood, Cecilie K Øverås, Anne Lovise Nordstoga, Morten Villumsen, Charlotte Diana Nørregaard Rasmussen, Barbara Nicholl, Kay Cooper, Per Kjaer, Frances S Mair, Gisela Sjøgaard, Tom Ivar Lund Nilsen, Jan Hartvigsen, Kerstin Bach, Paul Jarle Mork, Karen Søgaard
Pubblicato in: JMIR Research Protocols, Numero 8/12, 2019, Pagina/e e14720, ISSN 1929-0748
Editore: JMIR Publications
DOI: 10.2196/14720

Barriers and facilitators to patient uptake and utilisation of digital interventions for the self-management of low back pain: a systematic review of qualitative studies

Autori: Malene Jagd Svendsen, Karen Wood Wood, John Kyle, Kay Cooper, Charlotte Diana Nørregaard Rasmussen, Louise Fleng Sandal, Mette Jensen Stochkendahl, Frances S Mair, Barbara I Nicholl
Pubblicato in: BMJ Open, Numero 10/12, 2020, Pagina/e e038800, ISSN 2044-6055
Editore: BMJ Publishing Group
DOI: 10.1136/bmjopen-2020-038800

A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up

Autori: Louise Fleng Sandal, Cecilie K. Øverås, Anne Lovise Nordstoga, Karen Wood, Kerstin Bach, Jan Hartvigsen, Karen Søgaard, Paul Jarle Mork
Pubblicato in: Pilot and Feasibility Studies, Numero 6/1, 2020, ISSN 2055-5784
Editore: Springer Nature
DOI: 10.1186/s40814-020-00604-2

Evaluating the Transferability of Personalised Exercise Recognition Models

Autori: Anjana Wijekoon, Nirmalie Wiratunga
Pubblicato in: Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the EANN 2020, Numero 2, 2020, Pagina/e 32-44, ISBN 978-3-030-48790-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-48791-1_3

Learning to Compare with Few Data for Personalised Human Activity Recognition

Autori: Nirmalie Wiratunga, Anjana Wijekoon, Kay Cooper
Pubblicato in: Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Salamanca, Spain, June 8–12, 2020, Proceedings, Numero 12311, 2020, Pagina/e 3-14, ISBN 978-3-030-58341-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-58342-2_1

Personalised Meta-Learning for Human Activity Recognition with Few-Data

Autori: Anjana Wijekoon, Nirmalie Wiratunga
Pubblicato in: Artificial Intelligence XXXVII - 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings, Numero 12498, 2020, Pagina/e 79-93, ISBN 978-3-030-63798-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-63799-6_6

Intervention mapping for developing an app-based self-management intervention to improve non-specific low back pain (SELFBACK)

Autori: Charlotte Rasmussen, Malene Jagd Svendsen, Per Kjaer, Barbara Nicholl, Kay Cooper, Andreas Holtermann, Frances Mair, Jan Hartvigsen, Mette Jensen Stochkendahl, Karen Søgaard, Paul Jarle Mork
Pubblicato in: International Neck and Back Pain Research Forum 2017, Numero 2017, 2017
Editore: International Neck and Back Pain Research Forum 2017

kNN Sampling for Personalised Human Activity Recognition

Autori: Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper
Pubblicato in: 25th International Conference, ICCBR 2017, Numero June 26-28, 2017, 2017
Editore: Springer

A Siamese Convolutional Network for Developing Similarity Knowledge in the SelfBACK Dataset

Autori: Kyle Martin, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Jeremie Clos
Pubblicato in: A Siamese Convolutional Network for Developing Similarity Knowledge in the SelfBACK Dataset, Numero June, 2017, 2017
Editore: A Siamese Convolutional Network for Developing Similarity Knowledge in the SelfBACK Dataset

Learning Deep Features for Human Activity Recognition

Autori: Sadiq Sani, Stewart Massie, Nirmalie Wiratunga, Kay Cooper
Pubblicato in: Proceedings of International Conference on Knowledge Science, Engineering and Management (KSEM 2017), Numero August 2017, 2017
Editore: Springer

Findings From A Systematic Review of Digital Support Interventions for Low Back Pain Self-Management

Autori: Nicholl BI, Sandal LF, Stochkendahl MJ, McCallum M, Suresh N, Vasseljen O, Hartvigsen J, Mork PJ, Kjær P, Søgaard K, Mair FS
Pubblicato in: Findings From A Systematic Review of Digital Support Interventions for Low Back Pain Self-Management, Numero May 2017, 2017
Editore: Update

Learning Deep Features for kNN-Based Human Activity Recognition

Autori: Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper
Pubblicato in: Proceedings of the International Conference on Case-Based Reasoning (ICCBR 2017), Numero 2017, 2017
Editore: Springer

Digital Support Interventions for the Self-Management of Low Back Pain: A Systematic Review

Autori: Barbara Nicholl, Louise Sandal, Mette Stochkendahl, Marieanne McCallum, Nithaya Suresh, Ottar Vasseljen, Jan Hartvigsen, Paul Jarl Mork, Per Kjær, Karen Søgaard, Frances Mair
Pubblicato in: Society for Academic Primary Care, Numero July 2017, 2017
Editore: SAPC ASM

Diversity of Exercise Plans using Evolutionary Inspired Adaptation

Autori: Tale Prestmo, Kerstin Bach, Agnar Aamodt, Paul Jarle Mork
Pubblicato in: Workshop Week “Lernen, Wissen, Daten, Analysen” (“Learning, Knowledge, Data, Analytics”), Numero February 2017, 2017
Editore: CEUR Workshop

Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety

Autori: Tale Prestmo, Kerstin Bach, Agnar Aamodt, Paul Jarle Mork
Pubblicato in: Case-Based Reasoning Research and Development. ICCBR 2017. Lecture Notes in Computer Science, Numero June 2017, 2017, Pagina/e 272-286, ISBN 978-3-319-61029-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-61030-6_19

Digital Support Interventions for the Self-Management of Low Back Pain: Content, Outcomes and Engagement

Autori: Barbara Nicholl (Frances Mair, John Kyle, Marianne McCallum, Nithya Suresh, Louise Sandal, Mette Stockendahl, Jan Hartvigsen, Per Kjaer, Karen Søgaard, Paul Jarle Mork, Ottar Vasseljen, Tom Nilsen, Charlotte Rasmussen, Malene Svendsen, Kay Cooper)
Pubblicato in: International Back & Neck Pain Research Forum, Numero September, 2017, 2017
Editore: International Back & Neck Pain Research

The Evidence for Digital Interventions for the Self-Management of Low Back Pain: A Systematic Review

Autori: Nicholl BI, Sandal LF, Stockendahl MJ, McCallum M, Suresh N, Vasseljen O, Hartvigsen J, Mork PJ, Kjær P, Søgaard K , Mair FS
Pubblicato in: 2017 NAPCRG Annual Meeting, Numero 2017, 2017
Editore: North American Primary Care Research Group

A Systematic Review of Barriers and Facilitators to Patient Uptake and Utilisation of Digital Interventions for the Self-Management of Low Back Pain

Autori: Kyle J, Svendsen MJ, Cooper K, Rasmussen CDN, Mork PJ, Nilsen T, Søgaard K, Sandal L, Stochkendahl MJ, Kjaer P, Mair FS, Nicholl B
Pubblicato in: 2017 NAPCRG Annual Meeting, Numero 2017, 2017
Editore: North American Primary Care Research Group

Case Representation and Similarity Assessment in the selfBACK Decision Support System

Autori: Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen and Paul Jarle Mork
Pubblicato in: Case-Based Reasoning Research and Development, Numero 2016, 2016, Pagina/e 15, ISBN 978-3-319-47096-2
Editore: Springer
DOI: 10.1007/978-3-319-47096-2_3

Case Representation and Similarity Assessment in the selfBACK Decision Support System (Resubmission)

Autori: Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork
Pubblicato in: "Proceedings of the Conference ""Lernen, Wissen, Daten, Analysen""", Numero September 2016, 2016, Pagina/e 153-154, ISSN 1613-0073
Editore: CEUR Vol-1670

selfBACK: A decision support system for self-management of low back pain

Autori: Barbara I Nicholl, Kerstin Bach, Agnar Aamodt, Paul J Mork, Frances S Mair
Pubblicato in: The Society for Academic Primary Care (UK & Ireland), Numero 2016, 2016
Editore: The Society for Academic Primary Care

selfBACK: A decision support system for self-management of low back pain

Autori: Barbara I Nicholl, Kerstin Bach, Agnar Aamodt, Paul J Mork, Frances S Mair
Pubblicato in: North American Primary Care Research Group Annual Conference, Numero November 2016, 2016
Editore: North American Primary Care Research Group

Challenges for the Similarity-Based Comparison of Human Physical Activities Using Time Series Data

Autori: Tomasz Szczepanski, Kerstin Bach and Agnar Aamodt
Pubblicato in: Workshop Proceedings of the 24th International Conference on Case-Based Reasoning, Numero 5, 2016, 2016
Editore: ICCBR

Selfback: Activity Recognition for Self-Management of Low Back Pain

Autori: Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper
Pubblicato in: SGAI International Conference on Artificial Intelligence, Numero 2016, 2016
Editore: SGAI International Conference on Artificial Intelligence

Personalised Human Activity Recognition Using Maching Networks

Autori: Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper
Pubblicato in: International Conference on Case-Based Reasoning, Numero 2018, 2018
Editore: Springer

selfBACK, a digital health intervention to support selfmanagement in low back pain.

Autori: Karen Søgaard, Paul Jarle Mork, Mette Jensen Stochkendahl, Barbara Nicholl, Malene Jagd Svendsen, Louise Fleng Sandal
Pubblicato in: PREMUS 2019, Numero 3 September, 2019, 2019
Editore: PREMUS 2019

Improving kNN for HAR with Privileged Learning using Translation Models

Autori: Anjana Wijekoon, Nirmalie Wiraunga, Sadiq Sani, Kay Cooper
Pubblicato in: International Conference on Case-Based Reasoning, Numero 2018, 2018
Editore: Springer

Learning to self-manage by intelligent monitoring, prediction and intervention

Autori: Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Kay Cooper, Zina Ibrahim, Oya Celikutan, Richard Dobson, Stephen McKenna, Jacqui Morris, Annalu Waller, Raed Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri
Pubblicato in: CEUR Workshop Proceedings, Numero 2019, 2019
Editore: CEUR Workshop Proceedings

A decision support system for self-management of low back pain

Autori: Paul Jarle Mork, Kerstin Bach - on behalf of the selfBACK consortium
Pubblicato in: 17th World Congress on Pain, Numero 14 September 2018, 2018
Editore: The International Association for the Study of Pain (IASP)

A Case-Based Reasoning Application for Guiding Low-Back Pain Patients

Autori: Kerstin Bach, Ilya Ashikhmin, Tomasz Szczepanski and Agnar Aamodt
Pubblicato in: PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL FLORIDA ARTIFICIAL INTELLIGENCE RESEARCH SOCIETY CONFERENCE, Numero May 2019, 2019
Editore: AAAI

Learning to Recognise Exercises in the Self-Management of Low Back Pain

Autori: Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper, Kerstin Bach
Pubblicato in: The Thirty-Third International FLAIRS Conference (FLAIRS-33), 2020
Editore: AAAI

Heterogeneous Multi-Modal Sensor Fusion with Hybrid Attention for Exercise Recognition

Autori: Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper
Pubblicato in: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Pagina/e 1-8, ISBN 978-1-7281-6926-2
Editore: IEEE
DOI: 10.1109/ijcnn48605.2020.9206941

selfBACK – an mHealth decision support system designed to support self-management of low back pain

Autori: Paul Jarle Mork
Pubblicato in: Interdisciplinary World Congress on Low Back and Pelvic Girdle Pain, Numero 31 October 2019, 2019
Editore: 10th Interdisciplinary World Congress on Low Back and Pelvic Girdle Pain

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