Evidence map›Paper›PMID 36671869›Full record

ArticleBiosensors2022

Textile Knitted Stretch Sensors for Wearable Health Monitoring: Design and Performance Evaluation.

Md Abdullah Al Rumon, Gozde Cay, Vignesh Ravichandran, Afnan Altekreeti, Anna Gitelson-Kahn, Nicholas Constant, Dhaval Solanki, Kunal Mankodiya

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Review
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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

8 authors.

Md Abdullah Al RumonDepartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0000-0003-4413-7896
Gozde CayDepartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
Vignesh RavichandranDepartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
Afnan AltekreetiDepartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
Anna Gitelson-KahnDepartment of Textiles, Rhode Island School of Design, Providence, RI 02903, USA.
Nicholas ConstantEchoWear LLC, Pawtucket, RI 02860, USA.
Dhaval SolankiDepartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0000-0003-4039-4406
Kunal MankodiyaDepartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0000-0001-6423-0823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of smart textiles has led to significant interest in developing wearable textile sensors (WTS) and offering new modalities to sense vital signs and activity monitoring in daily life settings. For this, textile fabrication methods such as knitting, weaving, embroidery, and braiding offer promising pathways toward unobtrusive and seamless sensing for WTS applications. Specifically, the knitted sensor has a unique intermeshing loop structure which is currently used to monitor repetitive body movements such as breathing (microscale motion) and walking (macroscale motion). However, the practical sensing application of knit structure demands a comprehensive study of knit structures as a sensor. In this work, we present a detailed performance evaluation of six knitted sensors and sensing variation caused by design, sensor size, stretching percentages % (10, 15, 20, 25), cyclic stretching (1000), and external factors such as sweat (salt-fog test). We also present regulated respiration (inhale-exhale) testing data from 15 healthy human participants; the testing protocol includes three respiration rates; slow (10 breaths/min), normal (15 breaths/min), and fast (30 breaths/min). The test carried out with statistical analysis includes the breathing time and breathing rate variability. These testing results offer an empirically derived guideline for future WTS research, present aggregated information to understand the sensor behavior when it experiences a different range of motion, and highlight the constraints of the silver-based conductive yarn when exposed to the real environment.

Indexed as

RespirationWearable Electronic DevicesHumansMotionMovementTextilese-textilesknitted sensorssmart textilesstretch sensorswearable health sensors

Identifiers

PMID36671869
PMCPMC9855993

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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.