Evidence map›Paper›PMID 42315825›Full record

ArticleAnnals of biomedical engineering2026

A Novel Approach to Assessing Ice Skating Sprint Performance Using Wearable Sensors.

Aminreza Khandan, Ramin Fathian, Loren Zf Chiu, Jason P Carey, Hossein Rouhani

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Aminreza KhandanDepartment of Mechanical Engineering, Donadeo Innovation Centre for Engineering, University of Alberta, 10-368, 9211116 Street NW, Edmonton, AB, T6G 1H9, Canada.
Ramin FathianDepartment of Mechanical Engineering, Donadeo Innovation Centre for Engineering, University of Alberta, 10-368, 9211116 Street NW, Edmonton, AB, T6G 1H9, Canada.
Loren Zf ChiuFaculty of Kinesiology, Sport, and Recreation, University of Alberta, 3-100 University Hall, Van Vliet Complex, Edmonton, AB, T6G 2H9, Canada.
Jason P CareyDepartment of Mechanical Engineering, Donadeo Innovation Centre for Engineering, University of Alberta, 10-368, 9211116 Street NW, Edmonton, AB, T6G 1H9, Canada.
Hossein RouhaniDepartment of Mechanical Engineering, Donadeo Innovation Centre for Engineering, University of Alberta, 10-368, 9211116 Street NW, Edmonton, AB, T6G 1H9, Canada. hrouhani@ualberta.ca.ORCID http://orcid.org/0000-0002-4790-9313

Funding

Natural Sciences and Engineering Research Council RGPIN-2016-04106
6 · The paper itself

Abstract

purposeThis study implemented established signal processing techniques to introduce novel ice skating performance metrics using Inertial Measurement Units (IMUs) in forward ice sprint tests. We hypothesized that the proposed metrics would differentiate skaters of different caliber and skating type and provide additional biomechanical information beyond traditional metrics.

methodsNineteen ice skaters, including high- and low-caliber hockey and figure skaters, performed maximal speed sprints, while six IMUs recorded their ice skating. Primary performance metrics included stride length, velocity, and time. Secondary metrics were calculated to assess skating complexity (multiscale entropy), inter-limb coordination (continuous relative phase), and segment kinematics (joint orientations). Additionally, relationships between the proposed on-ice metrics and off-ice countermovement jump (CMJ) height were studied.

resultsSignificant differences were observed between high- and low-caliber skaters in stride velocity and length (P = 0.02), and between figure and hockey skaters in stride velocity (P = 0.01). Figure skaters exhibited less complex hip angles (0.01 ≤ P ≤ 0.05) and greater coordination (0.01 ≤ P ≤ 0.05) compared to hockey skaters. Correlation analyses showed that only a few IMU-derived metrics were moderately related to CMJ height, while most exhibited weak or negligible associations.

conclusionsThe IMU-derived metrics could differentiate between skaters of varying calibers and types, offering a quantitative characterization and extended view of skating biomechanics. The proposed metrics have the potential to extend conventional performance assessment and provide a framework for developing off-ice tests that more accurately inform the development of off-ice tests related to on-ice performance.

Indexed as

Biomedical signal processingIce skating sprint testInertial measurement unitKinematic metricsPerformance assessment

Identifiers

PMID42315825

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.