Evidence map›Paper›PMID 40729702›Full record

ArticleACS applied materials & interfaces2025

Flexible Smart Insole and Plantar Pressure Monitoring Using Screen-Printed Nanomaterials and Piezoresistive Sensors.

Jaeho Lee, Jimin Lee, Yoon Jae Lee, Hodam Kim, Youngjin Kwon, Yunuo Huang, Matthew Kuczajda, Ira Soltis, Woon-Hong Yeo

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Liquid Metal-Enabled Soft Bioelectronics for Human Health Monitoring.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  3. Article
  4. Review
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

9 authors.

Jaeho LeeGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0009-0008-3178-8730
Jimin LeeGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-8703-0979
Yoon Jae LeeWearable Intelligent Systems and Healthcare (WISH) Center at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-4159-5966
Hodam KimWearable Intelligent Systems and Healthcare (WISH) Center at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Youngjin KwonWearable Intelligent Systems and Healthcare (WISH) Center at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Yunuo HuangWearable Intelligent Systems and Healthcare (WISH) Center at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Matthew KuczajdaGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Ira SoltisGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Woon-Hong YeoGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-5526-3882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals experiencing gait dysfunction─such as the elderly, those with peripheral nervous system damage, or individuals with Parkinson's disease─face a heightened risk of physical injury due to imbalanced weight distribution. Despite recent advancements in wearable movement trackers, there remains a significant need for a reliable long-term plantar pressure monitoring system. While some existing devices measure pressure characteristics, many are hindered by limitations in spatial resolution, sensitivity, and the presence of bulky peripherals. Here, we introduce a flexible smart insole system that integrates screen-printed nanomaterials to create a high-density piezoresistive sensor array, enabling accurate plantar pressure measurement during daily activities. To ensure scalable and cost-effective manufacturing, we utilize a screen-printing method to fabricate 173 carbon-based sensors directly onto a flexible insole circuit. The printed sensors demonstrate a remarkable sensitivity of -0.322 kPa

Indexed as

FootNanostructuresWearable Electronic DevicesGaitHumansMonitoring, PhysiologicPressureShoesflexible smart insolegait analysispiezoresistive sensorsplantar pressure monitoringscreen-printed nanomaterialswearable electronics

Identifiers

PMID40729702
PMCPMC12371697

What OpenQuestion holds

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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.