Evidence map›Paper›PMID 38090043›Full record

ArticleFrontiers in sports and active living2023

Wireless sensor system for real-time performance monitoring in sports.

Martin F Berg, Henrik Døsvik, Kirsti Ø Skjølsvik, Thea Solberg Pedersen, Viljar Aasan, Martin Steinert, Sindre W Eikevåg

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Martin F BergDepartment of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway.
Henrik DøsvikDepartment of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway.
Kirsti Ø SkjølsvikDepartment of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway.
Thea Solberg PedersenDepartment of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway.
Viljar AasanBeitostølen Healthsports Center, Innlandet, Norway.
Martin SteinertDepartment of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway.
Sindre W EikevågDepartment of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Paralympic sports, investigating seating ergonomics and optimizing for performance is crucial due to individual impairments. Usually, experiments are conducted in laboratory environments and for skiing, usually on a treadmill. In this paper, we are moving experiments out of the laboratory setting to in-slope performance monitoring of kinetics and kinematics. A wireless sensor system is developed and validated in terms of delay. The results show a median delay of 52 ms for the wired main system and 53 ms for the wireless sub-system. The sensor system was implemented on a highly adjustable Paralympic sit-ski, and an experiment was conducted to pinpoint optimal equipment settings for an individual athlete. In addition, the system provided force data from both knees, seat, belt, and both poles. The data collected can also be used to analyze the technique, in addition to assisting in the classification process in the LW10-12 class. The proposed system design also allows for adding a vast amount of different sensor types, and by testing for delay, synchronized with well-known GNSS and IMU sensors already used in many sports to analyze athlete performance.

Indexed as

live performance monitoringparalympic crosscountry sit-skiingparalympic equipmentsensor developmentwireless sensors

Identifiers

PMID38090043
PMCPMC10711610

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.