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Page 1
Feature selection for unsupervised machine learning of accelerometer data physical activity clusters - A systematic review.
Gait Posture. 2021 Oct;90:120-128. doi: 10.1016/j.gaitpost.2021.08.007. Epub 2021 Aug 13.
Gait Posture. 2021.
PMID: 34438293
Review.
Comparability of measured acceleration from accelerometry-based activity monitors.
Rowlands AV, Fraysse F, Catt M, Stiles VH, Stanley RM, Eston RG, Olds TS.
Rowlands AV, et al. Among authors: catt m.
Med Sci Sports Exerc. 2015 Jan;47(1):201-10. doi: 10.1249/MSS.0000000000000394.
Med Sci Sports Exerc. 2015.
PMID: 24870577
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FilterK: A new outlier detection method for k-means clustering of physical activity.
Jones PJ, James MK, Davies MJ, Khunti K, Catt M, Yates T, Rowlands AV, Mirkes EM.
Jones PJ, et al. Among authors: catt m.
J Biomed Inform. 2020 Apr;104:103397. doi: 10.1016/j.jbi.2020.103397. Epub 2020 Feb 26.
J Biomed Inform. 2020.
PMID: 32113005
Free article.
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Towards a Portable Model to Discriminate Activity Clusters from Accelerometer Data.
Jones P, Mirkes EM, Yates T, Edwardson CL, Catt M, Davies MJ, Khunti K, Rowlands AV.
Jones P, et al. Among authors: catt m.
Sensors (Basel). 2019 Oct 17;19(20):4504. doi: 10.3390/s19204504.
Sensors (Basel). 2019.
PMID: 31627310
Free PMC article.
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Cognitive behaviour therapy plus aerobic exercise training to increase activity in patients with myotonic dystrophy type 1 (DM1) compared to usual care (OPTIMISTIC): study protocol for randomised controlled trial.
van Engelen B; OPTIMISTIC Consortium.
van Engelen B, et al.
Trials. 2015 May 23;16:224. doi: 10.1186/s13063-015-0737-7.
Trials. 2015.
PMID: 26002596
Free PMC article.
Clinical Trial.
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