Evidence map›Paper›PMID 37447871›Full record

ArticleSensors (Basel, Switzerland)2023

System Based on an Inertial Measurement Unit for Accurate Flight Time Determination in Vertical Jumps.

Juan A Moreno-Pérez, Isidoro Ruiz-García, Ismael Navarro-Marchal, Nuria López-Ruiz, Pablo J Gómez-López, Alberto J Palma, Miguel A Carvajal

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
5.3field-weighted citation impact, top 5% of its field
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, 7 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Juan A Moreno-PérezECSens, Sport and Health University Research Institute (iMUDS), Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain.
Isidoro Ruiz-GarcíaECSens, Sport and Health University Research Institute (iMUDS), Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain.ORCID 0000-0002-2522-6108
Ismael Navarro-MarchalSkiingLab, Sport and Health University Research Institute (iMUDS), Department of Physical and Sport Education, University of Granada, 18007 Granada, Spain.ORCID 0000-0001-7752-9111
Nuria López-RuizECSens, Sport and Health University Research Institute (iMUDS), Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain.ORCID 0000-0003-1511-7167
Pablo J Gómez-LópezSkiingLab, Sport and Health University Research Institute (iMUDS), Department of Physical and Sport Education, University of Granada, 18007 Granada, Spain.ORCID 0000-0001-7249-6541
Alberto J PalmaECSens, Sport and Health University Research Institute (iMUDS), Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain.ORCID 0000-0001-9050-5413
Miguel A CarvajalECSens, Sport and Health University Research Institute (iMUDS), Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain.ORCID 0000-0003-0234-4758
Universidad de Granada · ES

Funding

Andamove project ref. EXP_74829Sensorsportlab 07/UPB/22Sensorsportlab II 11/UPB/23
6 · The paper itself

Abstract

The world of elite sports has always been characterized by intense competition, where victories are often determined by minimal differences. This means that every little detail in the preparation of top-level athletes is crucial to their performance at the highest level. One of the most significant aspects to monitor is the jumping capacity, as it enables the measurement of performance, progression, and helps prevent injuries. Herein, we present the development of a system capable of measuring the flight time and height reached by the user, reporting the results through a smartphone using an Android ad-hoc application, which handles all the data processing. The system consists of an affordable and portable circuit based on an accelerometer. It communicates with the smartphone via UART using a Bluetooth module, and its battery provides approximately 9 h of autonomy, making it suitable for outdoor operations. To evaluate the system's precision, we conducted performance tests (counter-movement jumps) with seven subjects. The results confirmed the system's potential for monitoring high-level sports training sessions, as the average deviation obtained was only 2.1% (~0.01 s) in the analysis of flight time and 4.6% (~0.01 m) in jump height.

Indexed as

Athletic PerformanceSportsBiomechanical PhenomenaHumansMovementSmartphoneinertial measurement systemjump monitoringsmartphone app

Identifiers

PMID37447871
PMCPMC10347023
OpenAlexW4382699457

What OpenQuestion 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 OpenQuestion graph.