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

Deliverables

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 application's 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.

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.

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.

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.

Publications

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

Author(s): 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
Published in: International Neck and Back Pain Research Forum 2017, Issue 2017, 2017

kNN Sampling for Personalised Human Activity Recognition

Author(s): Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper
Published in: 25th International Conference, ICCBR 2017, Issue June 26-28, 2017, 2017

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

Author(s): Kyle Martin, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Jeremie Clos
Published in: A Siamese Convolutional Network for Developing Similarity Knowledge in the SelfBACK Dataset, Issue June, 2017, 2017

Learning Deep Features for Human Activity Recognition

Author(s): Sadiq Sani, Stewart Massie, Nirmalie Wiratunga, Kay Cooper
Published in: Proceedings of International Conference on Knowledge Science, Engineering and Management (KSEM 2017), Issue August 2017, 2017

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

Author(s): Nicholl BI, Sandal LF, Stochkendahl MJ, McCallum M, Suresh N, Vasseljen O, Hartvigsen J, Mork PJ, Kjær P, Søgaard K, Mair FS
Published in: Findings From A Systematic Review of Digital Support Interventions for Low Back Pain Self-Management, Issue May 2017, 2017

Learning Deep Features for kNN-Based Human Activity Recognition

Author(s): Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper
Published in: Proceedings of the International Conference on Case-Based Reasoning (ICCBR 2017), Issue 2017, 2017

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

Author(s): Barbara Nicholl, Louise Sandal, Mette Stochkendahl, Marieanne McCallum, Nithaya Suresh, Ottar Vasseljen, Jan Hartvigsen, Paul Jarl Mork, Per Kjær, Karen Søgaard, Frances Mair
Published in: Society for Academic Primary Care, Issue July 2017, 2017

Diversity of Exercise Plans using Evolutionary Inspired Adaptation

Author(s): Tale Prestmo, Kerstin Bach, Agnar Aamodt, Paul Jarle Mork
Published in: Workshop Week “Lernen, Wissen, Daten, Analysen” (“Learning, Knowledge, Data, Analytics”), Issue February 2017, 2017

Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety

Author(s): Tale Prestmo, Kerstin Bach, Agnar Aamodt, Paul Jarle Mork
Published in: Case-Based Reasoning Research and Development. ICCBR 2017. Lecture Notes in Computer Science, Issue June 2017, 2017, Page(s) 272-286
DOI: 10.1007/978-3-319-61030-6_19

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




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

Author(s): Nicholl BI, Sandal LF, Stockendahl MJ, McCallum M, Suresh N, Vasseljen O, Hartvigsen J, Mork PJ, Kjær P, Søgaard K , Mair FS
Published in: 2017 NAPCRG Annual Meeting, Issue 2017, 2017

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

Author(s): Kyle J, Svendsen MJ, Cooper K, Rasmussen CDN, Mork PJ, Nilsen T, Søgaard K, Sandal L, Stochkendahl MJ, Kjaer P, Mair FS, Nicholl B
Published in: 2017 NAPCRG Annual Meeting, Issue 2017, 2017

Case Representation and Similarity Assessment in the selfBACK Decision Support System

Author(s): Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen and Paul Jarle Mork
Published in: Case-Based Reasoning Research and Development, Issue 2016, 2016, Page(s) 15
DOI: 10.1007/978-3-319-47096-2_3

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

Author(s): Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork
Published in: "Proceedings of the Conference ""Lernen, Wissen, Daten, Analysen""", Issue September 2016, 2016, Page(s) 153-154, ISSN 1613-0073

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




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

Author(s): Barbara I Nicholl, Kerstin Bach, Agnar Aamodt, Paul J Mork, Frances S Mair
Published in: North American Primary Care Research Group Annual Conference, Issue November 2016, 2016

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

Author(s): Tomasz Szczepanski, Kerstin Bach and Agnar Aamodt
Published in: Workshop Proceedings of the 24th International Conference on Case-Based Reasoning, Issue 5, 2016, 2016

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

Author(s): Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper
Published in: SGAI International Conference on Artificial Intelligence, Issue 2016, 2016

Personalised Human Activity Recognition Using Maching Networks

Author(s): Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper
Published in: International Conference on Case-Based Reasoning, Issue 2018, 2018

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

Author(s): Karen Søgaard, Paul Jarle Mork, Mette Jensen Stochkendahl, Barbara Nicholl, Malene Jagd Svendsen, Louise Fleng Sandal
Published in: PREMUS 2019, Issue 3 September, 2019, 2019

Improving kNN for HAR with Privileged Learning using Translation Models

Author(s): Anjana Wijekoon, Nirmalie Wiraunga, Sadiq Sani, Kay Cooper
Published in: International Conference on Case-Based Reasoning, Issue 2018, 2018

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

Author(s): 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
Published in: CEUR Workshop Proceedings, Issue 2019, 2019

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

Author(s): Paul Jarle Mork, Kerstin Bach - on behalf of the selfBACK consortium
Published in: 17th World Congress on Pain, Issue 14 September 2018, 2018

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

Author(s): Kerstin Bach, Ilya Ashikhmin, Tomasz Szczepanski and Agnar Aamodt
Published in: PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL FLORIDA ARTIFICIAL INTELLIGENCE RESEARCH SOCIETY CONFERENCE, Issue May 2019, 2019

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

Author(s): 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
Published in: Journal of Medical Internet Research, Issue 19/5, 2017, Page(s) e179, ISSN 1438-8871
DOI: 10.2196/jmir.7290

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

Author(s): Paul Jarle Mork, Kerstin Bach
Published in: JMIR Research Protocols, Issue 7/7, 2018, Page(s) e167, ISSN 1929-0748
DOI: 10.2196/resprot.9379

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

Author(s): Kerstin Bach, Paul Jarle Mork, Agnar Aamodt
Published in: ERCIM News, Issue 104, January 2016, 2016, Page(s) ​30-31, ISSN 0926-4981

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

Author(s): Kerstin Bach, Cindy Marling, Paul Jarle Mork, Agnar Aamodt, Frances S. Mair, Barbara I. Nicholl
Published in: Journal of Intelligent Information Systems, Issue 52/2, 2019, Page(s) 269-284, ISSN 0925-9902
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

Author(s): 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
Published in: JMIR Research Protocols, Issue 8/12, 2019, Page(s) e14720, ISSN 1929-0748
DOI: 10.2196/14720

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

Author(s): Paul Jarle Mork
Published in: Interdisciplinary World Congress on Low Back and Pelvic Girdle Pain, Issue 31 October 2019, 2019