Evidence map›Paper›PMID 39599115›Full record

ReviewSensors (Basel, Switzerland)2024

Research Progress on Applying Intelligent Sensors in Sports Science.

Jingjing Zhao, Yulong Yang, Leng Bo, Jiantao Qi, Yongqiang Zhu

Abstract readReview
In one paragraph

Review 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

5 authors.

Jingjing ZhaoPhysical Education Teaching Department, China University of Petroleum (East China), Qingdao 266580, China.
Yulong YangCollege of New Energy, China University of Petroleum (East China), Qingdao 266580, China.
Leng BoCollege of Education, Beijing Sports University, Beijing 100091, China.
Jiantao QiCollege of New Energy, China University of Petroleum (East China), Qingdao 266580, China.ORCID 0000-0003-2145-133X
Yongqiang ZhuCollege of New Energy, China University of Petroleum (East China), Qingdao 266580, China.

Funding

Ministry of Education 230802897074113, 230804643073508
6 · The paper itself

Abstract

Smart sensors represent a significant advancement in modern sports science, and their effective use enhances the ability to monitor and analyze athlete performance in real time. The integration of these sensors has enhanced the accuracy of data collection related to physical activity, biomechanics, and physiological responses, thus providing valuable insights for performance optimization, injury prevention, and rehabilitation. This paper provides an overview of the research progress in the application of smart sensors in the field of sports science; highlights the current advances, challenges, and future directions in the deployment of smart sensor technologies; and anticipates their transformative impact on sports science and athlete development.

Indexed as

SportsAthletesAthletic PerformanceBiomechanical PhenomenaBiosensing TechniquesExerciseHumansMonitoring, PhysiologicWearable Electronic Devicesintelligent identificationmotion monitoringsensorssports

Identifiers

PMID39599115
PMCPMC11598178

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.