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Brain Injury Volume 35, 2021 - Issue 4
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Research Article

Developing and validating an accelerometer-based algorithm with machine learning to classify physical activity after acquired brain injury

Helene Honoréa Hammel Neurorehabilitation Centre & University Research Clinic (HNURC), Hammel, Denmark;b Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-0181-7464
ORCID Icon,
Rikke Gadec Section of Media Technology, Aalborg University, Aalborg, DenmarkORCID Iconhttps://orcid.org/0000-0002-8016-2426
ORCID Icon,
Jørgen Feldbæk Nielsena Hammel Neurorehabilitation Centre & University Research Clinic (HNURC), Hammel, Denmark;b Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkORCID Iconhttps://orcid.org/0000-0001-5339-171X
ORCID Icon &
Inger Mechlenburgb Department of Clinical Medicine, Aarhus University, Aarhus, DenmarkORCID Iconhttps://orcid.org/0000-0001-5432-8691
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Pages 460-467 | Received 27 Jul 2020, Accepted 15 Dec 2020, Published online: 18 Feb 2021

Citations (6)

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Richard J. Siegert, Ajit Narayanan & Lynne Turner-Stokes. (2023) Prediction of emergence from prolonged disorders of consciousness from measures within the UK rehabilitation outcomes collaborative database: a multicentre analysis using machine learning. Disability and Rehabilitation 45:18, pages 2906-2914.
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Articles from other publishers (5)

Stefan Gantelius, Sandra Vikerfors, Josefin Jansson Edqvist, Ferdinand von Walden, Maria Hagströmer & Eva Pontén. (2023) Time-matched accelerometers on limbs and waist in children with CP give new insights into real-life activities after botulinum toxin treatment: A proof of concept study. Journal of Pediatric Rehabilitation Medicine 16:1, pages 125-137.
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Helene Honoré, Frederik Skovbjerg, Asger Roer Pedersen, Inger Mechlenburg & Jørgen Feldbæk Nielsen. (2023) Exploring Physical Activity During the Discharge Transition Phase in People With Acquired Brain Injury—An Observational Study. Archives of Rehabilitation Research and Clinical Translation 5:1, pages 100247.
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Christine Krogsgaard Schrøder, Lisa Urup Tønning, Marianne Tjur, Pia Kjær Kristensen & Inger Mechlenburg. (2023) Reference Values for Daily Physical Activity Measured with Accelerometers in a Danish Background Population between 18 and 80 Years of Age. Applied Sciences 13:3, pages 1443.
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Frederik Skovbjerg, Helene Honoré, Inger Mechlenburg, Matthijs Lipperts, Rikke Gade & Erhard Trillingsgaard Næss-Schmidt. (2022) Monitoring Physical Behavior in Rehabilitation Using a Machine Learning–Based Algorithm for Thigh-Mounted Accelerometers: Development and Validation Study. JMIR Bioinformatics and Biotechnology 3:1, pages e38512.
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Fan Bo, Mustafa Yerebakan, Yanning Dai, Weibing Wang, Jia Li, Boyi Hu & Shuo Gao. (2022) IMU-Based Monitoring for Assistive Diagnosis and Management of IoHT: A Review. Healthcare 10:7, pages 1210.
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