Evidence map›Paper›PMID 42817456›Full record

ArticleSensors (Basel, Switzerland)2026

Wearable Multi-Sensor Fusion for Field Assessment of Dynamic Postural Stability During the Curling Delivery in Young Adult Curlers: Integrating Trunk Kinematics, Plantar Pressure and Core-Muscle Activation.

Bowen Zhang, Jiying Wu, Tianhao Han, Jian Zhang, Daqi Jiang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bowen ZhangDepartment of Physical Education, Northeastern University, Shenyang 110819, China.
Jiying WuSchool of Management and Journalism Communication, Shenyang Sport University, Shenyang 110819, China.
Tianhao HanSchool of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
Jian ZhangDepartment of Physical Education, Northeastern University, Shenyang 110819, China.
Daqi JiangNational Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang 110819, China.ORCID 0000-0001-6131-2057

Funding

Department of Science and Technology of Liaoning Province 2025-BS-0118Educational Department of Liaoning Province JG24CB164Educational Department of Liaoning Province LJ112410176026Social Science Planning Project of Liaoning Province L24CTY009the Fundamental Research Funds for the Central Universities 25WPY017
6 · The paper itself

Abstract

Postural control in curling is expressed during a dynamic, sport-specific delivery on a single sliding leg, yet it is still assessed almost exclusively with static single-leg force-plate protocols that poorly reflect on-ice demands. This study developed and validated a wearable multi-sensor system that fuses trunk and pelvis inertial measurement units (IMUs), instrumented plantar-pressure insoles and core-muscle surface electromyography (sEMG) to quantify dynamic postural stability during the simulated curling delivery in 110 young adult curlers (age range 18-24 years). A four-phase segmentation of the delivery was implemented, and a compact 28-feature set was extracted and combined through a complementary Kalman fusion scheme into a single Dynamic Stability Index (DSI). Validated against a reference force plate during static single-leg standing, the IMU-derived sway path showed a small bias (~0.4 cm) with 95% limits of agreement of approximately +4.4 to -3.6 cm, and between-day reliability of the fused DSI was excellent (ICC(3,1) = 0.90, 95% CI [0.82, 0.95]). A random-forest classifier discriminated high- from low-stability deliveries with 91.8% accuracy (95% CI [87.2%, 95.1%]; AUC = 0.92, 95% CI [0.87, 0.96]), outperforming any single-sensor or static force-plate baseline. Sensor-derived dynamic metrics correlated with external-oblique strength, trunk proprioceptive error and motor self-efficacy (Spearman ρ ranging from -0.55 to 0.51, all

Indexed as

Muscle, SkeletalPostural BalanceTorsoWearable Electronic DevicesAdolescentBiomechanical PhenomenaElectromyographyHumansMalePosturePressureYoung Adultathlete monitoringcurlingdynamic balanceinertial measurement unitmachine learningplantar pressuresensor fusionsurface electromyographywearable sensorsyoung adult curlers

Identifiers

PMID42817456
PMCPMC13611652

What OpenQuestion holds

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Registered trials

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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.