Evidence map›Paper›PMID 36081152›Full record

ArticleSensors (Basel, Switzerland)2022

Novel Method for Estimating Propulsive Force Generated by Swimmers' Hands Using Inertial Measurement Units and Pressure Sensors.

Tomoya Kadi, Tomohito Wada, Kenzo Narita, Takaaki Tsunokawa, Hirotoshi Mankyu, Hiroyuki Tamaki, Futoshi Ogita

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Journal of functional morphology and kinesiology · 2025
    Article
  3. Article
  4. 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 at 2 institutions in 1 country.

Tomoya KadiGraduate School of Physical Education, National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, Japan.ORCID 0000-0001-9607-233X
Tomohito WadaInformation Technology Center for Sports Sciences, National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, Japan.ORCID 0000-0003-1246-3638
Kenzo NaritaFaculty of Sports and Budo Coaching Studies, National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, Japan.ORCID 0000-0002-0429-1859
Takaaki TsunokawaAdvanced Research Initiative for Human High Performance (ARIHHP), Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba 305-8574, Japan.ORCID 0000-0001-9862-3123
Hirotoshi MankyuFaculty of Sports and Budo Coaching Studies, National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, Japan.
Hiroyuki TamakiFaculty of Sports and Life Science, National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, Japan.
Futoshi OgitaFaculty of Sports and Life Science, National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, Japan.
National Institute of Fitness and Sports in Kanoya · JPUniversity of Tsukuba · JP

Funding

Japan Society for the Promotion of Science JP20K11392
6 · The paper itself

Abstract

Propulsive force is a determinant of swimming performance. Several methods have been proposed to estimate the propulsive force in human swimming; however, their practical use in coaching is limited. Herein, we propose a novel method for estimating the propulsive force generated by swimmers' hands using an inertial measurement unit (IMU) and pressure sensors. In Experiment 1, we use a hand model to examine the effect of a hand-mounted IMU on pressure around the hand model at several flow velocities and water flow directions. In Experiment 2, we compare the propulsive force estimated using the IMU and pressure sensors (FIMU) via an underwater motion-capture system and pressure sensors (FMocap). Five swimmers had markers, pressure sensors, and IMUs attached to their hands and performed front crawl swimming for 25 m twice at each of nine different swimming speeds. The results show that the hand-mounted IMU affects the resultant force; however, the effect of the hand-mounted IMU varies with the flow direction. The mean values of FMocap and FIMU are similar (19.59 ± 7.66 N and 19.36 ± 7.86 N, respectively; intraclass correlation coefficient

Indexed as

HandUpper ExtremityBiomechanical PhenomenaHumansSwimmingaccelerometerfront crawl swimminggyroscopehuman swimmingunderwater motion-capture system

Identifiers

PMID36081152
PMCPMC9460320
OpenAlexW4295080646

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.