Adrian Rodriguez Rivadulla

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6 Chapter in a published conference proceeding
5 Article
2 Abstract
1 Review article

Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy
Rivadulla, A. R., Chen, X., Cazzola, D., Trewartha, G. & Preatoni, E., 31 Jan 2026, In: Sports Biomechanics. 25, 1, p. 22-45 24 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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5 Link opens in a new tab Citations (SciVal)

321 Downloads (Pure)
Does preferred technique influence how kinematics change during a run to exhaustion?—A cluster based approach
Rivadulla, A. R., Sheehy, Z., Chen, X., Cazzola, D., Trewartha, G. & Preatoni, E., 11 Feb 2026, In: PeerJ. 14, p. 1-24 24 p., e20673.
Research output: Contribution to journal › Article › peer-review

Open Access
File
7 Downloads (Pure)
Logistic regression with elastic net regularisation can successfully identify groups of runners based on their technique using consumer-oriented wearable sensor data
Rivadulla, A., Chen, X., Cazzola, D., Trewartha, G. & Preatoni, E., 2 Apr 2025, (E-pub ahead of print). 1 p.
Research output: Contribution to conference › Abstract › peer-review

Open Access
File
17 Downloads (Pure)
Running-induced fatigue increases coordination variability, regardless of running ability
Sheehy, Z., Rivadulla, A. & Preatoni, E., 27 Jun 2025, (Acceptance date) ISBS Proceedings Archives: 43rd International Conference on Biomechanics in Sports (2025) Doha, Qatar, November 2-6, 2025. International Society of Biomechanics in Sports (ISBS), Vol. 43. 4 p.
Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Open Access
A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology
Carter, J., Rivadulla, A. & Preatoni, E., 31 Dec 2024, In: Sports Biomechanics. 23, 11, p. 2372-2389 RSPB 2027509.
Research output: Contribution to journal › Article › peer-review

Open Access
File
8 Link opens in a new tab Citations (SciVal)

374 Downloads (Pure)

Dataset for "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator) & Preatoni, E. (Creator), University of Bath, 9 Dec 2025
DOI: 10.15125/BATH-01550, https://github.com/adrianrivadulla/fatigue_runners
Dataset
Dataset for "Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator) & Preatoni, E. (Creator), University of Bath, 11 Jul 2024
DOI: 10.15125/BATH-01636, https://github.com/adrianrivadulla/clustering_runners
Dataset
Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Weir, G. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator), Hamill, J. (Creator) & Preatoni, E. (Creator), University of Bath, 26 Jul 2021
DOI: 10.15125/BATH-00965, https://github.com/adrianrivadulla/FootNet
Dataset

Investigating running styles and fatigue: a machine learning approach to explore whether stereotypical behaviours exist: (Alternative format thesis)
Rivadulla, A. (Author), Preatoni, E. (Supervisor), Trewartha, G. (Supervisor), Chen, X. (Supervisor) & Cazzola, D. (Supervisor), 13 Nov 2024
Student thesis: Doctoral Thesis › PhD

File

ISBS New Investigator Award, presented by the International Society of Biomechanics in Sports
Rodriguez Rivadulla, A. (Recipient) & Preatoni, E. (Recipient), 16 Jul 2023
Prize: Prize (including medals and awards)
ISB David Winter Young Investigator Award finalist (oral) (co-author)
Rodriguez Rivadulla, A. (Nominee) & Preatoni, E. (Nominee), Jul 2021
Prize: National/international honour
ISBS New Investigator Award finalist (oral) (co-author)
Carter, J. (Nominee), Rodriguez Rivadulla, A. (Nominee) & Preatoni, E. (Nominee), 7 Sept 2021
Prize: National/international honour

Adrian Rodriguez Rivadulla

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy

Does preferred technique influence how kinematics change during a run to exhaustion?—A cluster based approach

Logistic regression with elastic net regularisation can successfully identify groups of runners based on their technique using consumer-oriented wearable sensor data

Running-induced fatigue increases coordination variability, regardless of running ability

A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology

Dataset for "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach"

Dataset for "Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy"

Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"

Investigating running styles and fatigue: a machine learning approach to explore whether stereotypical behaviours exist: (Alternative format thesis)

ISBS New Investigator Award, presented by the International Society of Biomechanics in Sports

ISB David Winter Young Investigator Award finalist (oral) (co-author)

ISBS New Investigator Award finalist (oral) (co-author)

Adrian Rodriguez Rivadulla

Fingerprint

Collaborations and top research areas from the last five years

Research output

Datasets

Thesis

Prizes