Evidence map›Paper›PMID 38733050›Full record

ArticleSensors (Basel, Switzerland)2024

Gait Pattern Analysis: Integration of a Highly Sensitive Flexible Pressure Sensor on a Wireless Instrumented Insole.

Partha Sarati Das, Daniella Skaf, Lina Rose, Fatemeh Motaghedi, Tricia Breen Carmichael, Simon Rondeau-Gagné, Mohammed Jalal Ahamed

Abstract read
In one paragraph

Article 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 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. Gait analysis for Parkinson's disease using multiscale entropy.Neurodegenerative disease management · 2025
    Review
  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

7 authors.

Partha Sarati DasMechanical, Automotive & Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.
Daniella SkafDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, ON N9B 3P4, Canada.
Lina RoseMechanical, Automotive & Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.
Fatemeh MotaghediDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0002-2215-7370
Tricia Breen CarmichaelDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, ON N9B 3P4, Canada.
Simon Rondeau-GagnéDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0003-0487-1092
Mohammed Jalal AhamedMechanical, Automotive & Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0002-3346-6187

Funding

Natural Sciences and Engineering Research Council I2IPJ 566691 - 21
6 · The paper itself

Abstract

Gait phase monitoring wearable sensors play a crucial role in assessing both health and athletic performance, offering valuable insights into an individual's gait pattern. In this study, we introduced a simple and cost-effective capacitive gait sensor manufacturing approach, utilizing a micropatterned polydimethylsiloxane dielectric layer placed between screen-printed silver electrodes. The sensor demonstrated inherent stretchability and durability, even when the electrode was bent at a 45-degree angle, it maintained an electrode resistance of approximately 3 Ω. This feature is particularly advantageous for gait monitoring applications. Furthermore, the fabricated flexible capacitive pressure sensor exhibited higher sensitivity and linearity at both low and high pressure and displayed very good stability. Notably, the sensors demonstrated rapid response and recovery times for both under low and high pressure. To further explore the capabilities of these new sensors, they were successfully tested as insole-type pressure sensors for real-time gait signal monitoring. The sensors displayed a well-balanced combination of sensitivity and response time, making them well-suited for gait analysis. Beyond gait analysis, the proposed sensor holds the potential for a wide range of applications within biomedical, sports, and commercial systems where soft and conformable sensors are preferred.

Indexed as

GaitPressureWearable Electronic DevicesWireless TechnologyElectrodesEquipment DesignGait AnalysisHumansShoesAg electrodecapacitive sensorgait phase monitoringgait sensinginsolemicropatterned PDMSwireless

Identifiers

PMID38733050
PMCPMC11086061

What OpenQuestion holds

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LicenceCC BY
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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.