Evidence map›Paper›PMID 38203083›Full record

ArticleSensors (Basel, Switzerland)2023

Design and Characterization of Piezoresistive Sensors for Non-Planar Surfaces and Pressure Mapping: A Case Study on Kayak Paddle.

Abdo-Rahmane Anas Laaraibi, Gurvan Jodin, Corentin Depontailler, Nicolas Bideau, Florence Razan

Abstract 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Abdo-Rahmane Anas LaaraibiDepartment of Mechatronics, École Normale Supérieure de Rennes, 35170 Bruz, France.ORCID 0000-0002-9482-2034
Gurvan JodinDepartment of Mechatronics, École Normale Supérieure de Rennes, 35170 Bruz, France.ORCID 0000-0003-0178-9376
Corentin DepontaillerDepartment of Mechatronics, École Normale Supérieure de Rennes, 35170 Bruz, France.
Nicolas BideauMovement, Sports and Health (M2S) Laboratory, EA 7470, Université Rennes 2, ENS Rennes, 35170 Bruz, France.
Florence RazanDepartment of Mechatronics, École Normale Supérieure de Rennes, 35170 Bruz, France.

Funding

ANR within the framework of the PIA EUR DIGISPORT project ANR-18-EURE-0022
6 · The paper itself

Abstract

This article focuses on the design of a sensor system for a non-planar surface, in particular a cylindrical shape, such as a kayak paddle. The main objective is to develop a piezoresistive sensor system to measure the pressure exerted by the hand on the shaft. The study begins with static characterization of the sensors, including dispersion analysis to assess their sensitivity, linearity and measurement range. A calibration process is carried out using a dedicated test bench, and an inverse viscoelastic model is used to establish an accurate relationship between the measured resistance and the corresponding pressure. The sensor system is connected to a data acquisition board equipped with an analog-to-digital converter (ADC) that enables the direct conversion of analog data into digital resistance values. Furthermore, Bluetooth Low Energy (BLE) wireless communication is employed to facilitate data transfer to a computer, enabling a detailed pressure mapping of the kayak paddle and real-time data collection. The calibrated sensors are then tested and validated on the kayak paddle, facilitating the mapping of pressure zones on the paddle surface. This mapping provides information for locating areas of high pressure exertion during kayaker movements.

Indexed as

Bluetooth Low Energy (BLE)flexible sensorshand pressurekayak paddlenon-planar surfacepiezoresistive sensorspressure mappingviscoelastic model

Identifiers

PMID38203083
PMCPMC10781377

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LicenceCC BY
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Registered trials

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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.