Author

R. B. Graham

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioengineering· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 3 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

C. A. Bailey· 2 shared J. Nantel· 2 shared A. Boyle· 1 shared A. Hill· 1 shared A. L. Clouthier· 1 shared A. Mir-Orefice· 1 shared G. B. Ross· 1 shared I. Coll· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

C. A. Bailey

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Smartwatch-based prediction of single-stride and stride-to-stride gait outcomes using regression-based machine learning

C. A. Bailey, A. Mir-Orefice, T. K. Uchida, J. Nantel, R. B. Graham

This study uses a smartwatch IMU and machine learning to predict single-stride and stride-to-stride gait outcomes with high accuracy.

bioRxiv · Jan 30, 2023Bioengineering

Effects of arm swing amplitude and lower limb asymmetry on motor variability patterns during treadmill gait

C. A. Bailey, A. Hill, R. B. Graham, J. Nantel

This study examines how arm swing amplitude and lower limb asymmetry affect motor variability during treadmill walking, finding specific impacts on joint angles and stability.

bioRxiv · Sep 24, 2021Bioengineering

Development and validation of a deep learning algorithm and open-source platform for the automatic labelling of motion capture markers

A. L. Clouthier, G. B. Ross, M. P. Mavor, I. Coll, A. Boyle, R. B. Graham

This paper develops a deep learning algorithm and open-source platform for automatically labeling motion capture markers, achieving high accuracy even with missing or extraneous markers.

bioRxiv · Feb 8, 2021Bioengineering