Evidence map›Paper›PMID 39771618›Full record

ArticleSensors (Basel, Switzerland)2024

Vertical Jump Height Estimation Using Low-Sampling IMU in Countermovement Jumps: A Feasible Alternative to Motion Capture and Force Platforms.

Giacomo Villa, Alessandro Bonfiglio, Manuela Galli, Veronica Cimolin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Giacomo VillaEuleria srl Società Benefit, Via delle Zigherane, 4/A, 38068 Rovereto, Italy.ORCID 0009-0003-0940-3885
Alessandro BonfiglioEuleria srl Società Benefit, Via delle Zigherane, 4/A, 38068 Rovereto, Italy.
Manuela GalliDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0003-2772-4837
Veronica CimolinDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0001-6299-7254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vertical jump height from a countermovement jump is a widespread metric to assess the lower limb functionality. Motion capture systems and force platforms are considered gold standards to estimate vertical jump height; however, their use in ecological settings is limited. This study aimed to evaluate the feasibility of low-sampling-rate inertial measurement units as an alternative to the gold standard systems. The validity of three computational methods for IMU-based data-numerical double integration, takeoff velocity, and flight time-was assessed using data from 18 healthy participants who performed five double-leg and ten single-leg countermovement jumps. The data were simultaneously collected from a motion capture system, two force platforms, and an IMU positioned at the L5 level. The comparisons revealed that the numerical double integration method exhibited the highest correlation (0.87) and the lowest bias (2.5 cm) compared to the gold standards and excellent reliability (0.88). Although the takeoff velocity and flight time methods demonstrated comparable performances for double-leg jumps, their accuracy in single-leg jumps was reduced. Overall, the low-sampling-rate IMU with the numerical double integration method seems to be a reliable and feasible alternative for field-based countermovement jump assessment, warranting future investigation across diverse populations and jump modalities.

Indexed as

MovementAdultBiomechanical PhenomenaFemaleHumansLower ExtremityMaleMotion CaptureReproducibility of ResultsYoung Adultcountermovement jumpdouble integrationforce platformsinertial measurement unitmotion capture systemsvertical jump height

Identifiers

PMID39771618
PMCPMC11679435

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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.