Evidence map›Paper›PMID 39959115›Full record

ArticleACS omega2025

Enhanced Piezoresistive Cryogel: MWCNT Nanocomposite-Based Wearable Sensors for Real-Time Human Gait and Exercise Monitoring.

Niranjan Deggenahalli Basavaraju, Vaidehi Basavakumar Roopa, Mathew Peter, Jeevan Medikonda, Saumya Bansal, Pramod Kesavan Namboothiri

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In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Niranjan Deggenahalli BasavarajuDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.ORCID https://orcid.org/0000-0001-7525-082X
Vaidehi Basavakumar RoopaDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
Mathew PeterDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
Jeevan MedikondaDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
Saumya BansalDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
Pramod Kesavan NamboothiriDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.ORCID https://orcid.org/0000-0002-6923-1558

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The piezoresistive properties of the modified cryogels were studied. The pressure sensitivity of the cryogel:MWCNT (CG:MWCNT) sensors for different concentrations of MWCNTs are studied. FTIR characterization confirms the formation of CG and CG:MWCNT nanocomposites. Porosity was optimized to enhance the conductivity of the nanocomposite by studying various concentrations. The highly porous structure and the elastic nature of the CG:MWCNT sensors resulted in a change in the electrical percolation even for subtle pressure application, and a linear change in pressure was observed up to 700 kPa. The minimum and maximum pressures detected were 0.4 and 700 kPa, respectively. Electromechanical tests confirm high responsive time and no effect of pore size after stability test, which makes the prepared sensor more span of usage in healthcare conditions. Further, a cryogel:MWCNT wearable wireless sensor module was developed, and the gait signals were acquired wirelessly. The prepared sensor system is able to differentiate between normal, fast, and slow gaits. FFT analysis has been performed to understand the repeatability of signals. Overall, the study emphasizes the potential of the developed sensor system in assisting healthcare professionals, researchers, and individuals in assessing gait characteristics and tracking exercise performance.

Identifiers

PMID39959115
PMCPMC11822496

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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.