Evidence map›Paper›PMID 41829370›Full record

ArticleSensors (Basel, Switzerland)2026

A High-Frequency Wearable IMU-Based System for Countermovement Jump Assessment.

Antonio Pousibet-Garrido, Cristina Benavente, Juan A Moreno-Pérez, Sergio Pérez-Regalado, Miguel A Carvajal, Ignacio J Chirosa, Pablo Escobedo

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Antonio Pousibet-GarridoPRIMELab, Department of Electronics and Computer Technology, Centre for Information and Communications Technologies (CITIC-UGR), University of Granada, 18071 Granada, Spain.
Cristina BenaventeSport and Health University Research Institute (iMUDS), University of Granada, 18016 Granada, Spain.ORCID 0000-0002-5154-8602
Juan A Moreno-PérezPRIMELab, Department of Electronics and Computer Technology, Centre for Information and Communications Technologies (CITIC-UGR), University of Granada, 18071 Granada, Spain.
Sergio Pérez-RegaladoDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain.ORCID 0000-0001-9503-4286
Miguel A CarvajalPRIMELab, Department of Electronics and Computer Technology, Centre for Information and Communications Technologies (CITIC-UGR), University of Granada, 18071 Granada, Spain.ORCID 0000-0003-0234-4758
Ignacio J ChirosaSport and Health University Research Institute (iMUDS), University of Granada, 18016 Granada, Spain.ORCID 0000-0001-9006-8516
Pablo EscobedoPRIMELab, Department of Electronics and Computer Technology, Centre for Information and Communications Technologies (CITIC-UGR), University of Granada, 18071 Granada, Spain.ORCID 0000-0002-1701-8878

Funding

Consejo Superior de Deportes (Ministerio de Cultura y Deporte) projects "SensorSportLab IV" and "SensorSportLab V" (Redes de Investigación en Ciencias del Deporte 2025 and 2026)
6 · The paper itself

Abstract

The countermovement jump (CMJ) is widely used to monitor neuromuscular performance in sport, but its assessment is largely dependent on force platforms, which limits their use outside the laboratory due to their cost and limited portability. This work describes the development and validation of a fully custom wearable inertial measurement unit (IMU) system for CMJ assessment. The platform is based on a single IMU placed on the lower back and sampled at 1 kHz, and includes Bluetooth Low Energy (BLE) communication together with dedicated PC and smartphone applications. A new algorithm based on the derivative of vertical acceleration was implemented to identify take-off and landing instants. The system was evaluated using 119 CMJ trials performed by 19 participants and validated against a force platform used as the criterion reference. Different acceleration thresholds were tested, with 0.2 g providing the best compromise between detection robustness and the statistical quality of the measurements, yielding a detection rate of 97.43%. Agreement analysis showed a small systematic underestimation of flight time (bias = -0.0117 s), with moderate limits of agreement across the observed range. These results indicate that the proposed system may be suitable for practical, field-based CMJ monitoring, although the observed variability relative to force-platform measurements should be considered, particularly in applications requiring individual-level decision making.

Indexed as

Wearable Electronic DevicesAccelerationAdultAlgorithmsHumansMalecountermovement jumpflight timeinertial measurement unitInternet of Thingsjump performance assessmentwireless accelerometer wearable sensors

Identifiers

PMID41829370
PMCPMC12987133

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.