PEDOT: PSS treated cotton-based textile dry electrode for ECG sensing

Maithani, Yogita; Singh, Aditya; Mehta, B. R.; Singh, Jaspal

doi:10.1016/j.matpr.2022.04.611

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…In another study [ 28 ], the type of cotton fabrics was found to have an effect on the electrical conductivity of cotton fabrics after treatment with PEDOT:PSS with excellent electrical conductivity. In another study [ 29 ], cotton fabrics treated with DMSO-doped PEDOT:PSS ink were used as ECG electrodes. The ECG electrodes showed high efficiency, achieving excellent signals without skin irritation.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Titanium Oxide Nanoparticles and UV Radiation on the Electrical Properties of PEDOT:PSS-Coated Cotton Fabrics

Alamer

Beyari

2023

Materials

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With the rapid growth of electronic textiles, there is a need for highly conductive fabrics containing fewer conductive materials, allowing them to maintain flexibility, low cost and light weight. Poly(3,4-ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS), is one of the most promising conductive materials for the production of conductive fabrics due to its excellent properties such as solubility, relatively high conductivity, and market availability. Moreover, its electrical conductivity can be enhanced by polar solvents or acid treatment. The aim of this work was to fabricate conductive cotton fabrics with a small fixed amount of PEDOT:PSS and to investigate how titanium dioxide (TiO2) nanoparticles affect the electrical, thermal and structural properties of PEDOT:PSS-coated cotton fabrics. The change in electrical conductivity of the nanocomposite fabric was then related to morphological analysis by scanning electron microscopy and X-ray diffraction. We found that the sheet resistance of the nanocomposite cotton fabric depends on the TiO2 concentration, with a minimum value of 2.68 Ω/□ at 2.92 wt% TiO2. The effect of UV light on the sheet resistance of the nanocomposite cotton fabric was also investigated; we found that UV irradiation leads to an increase in conductivity at an irradiation time of 10 min, after which the conductivity decreases with increasing irradiation time. In addition, the electrical behavior of the nanocomposite cotton fabric as a function of temperature was investigated. The nanocomposite fabrics exhibited metallic behavior at high-TiO2 concentrations of 40.20 wt% and metallic semiconducting behavior at low and medium concentrations of 11.33 and 28.50 wt%, respectively. Interestingly, cotton fabrics coated with nanocomposite possessed excellent washing durability even after seven steam washes.

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Section: Introductionmentioning

confidence: 99%

The Influence of Titanium Oxide Nanoparticles and UV Radiation on the Electrical Properties of PEDOT:PSS-Coated Cotton Fabrics

Alamer

Beyari

2023

Materials

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“…Conductive polymers like PEDOT: PSS mixed with DMSO to enhance the conductivity can be coated on top of cotton fabric with a simple drop coating method. ECG signals obtained from the conductive cotton electrodes were found to be stable [112]. These easy one-step methods can also be used to coat carbon-based materials on textile.…”

Section: Drop/dye/dip Coatingmentioning

confidence: 94%

Recent Advances and Challenges in Textile Electrodes for Wearable Biopotential Signal Monitoring: A Comprehensive Review

2023

Self Cite

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The technology of wearable medical equipment has advanced to the point where it is now possible to monitor the electrocardiogram and electromyogram comfortably at home. The transition from wet Ag/AgCl electrodes to various types of gel-free dry electrodes has made it possible to continuously and accurately monitor the biopotential signals. Fabrics or textiles, which were once meant to protect the human body, have undergone significant development and are now employed as intelligent textile materials for healthcare monitoring. The conductive textile electrodes provide the benefit of being breathable and comfortable. In recent years, there has been a significant advancement in the fabrication of wearable conductive textile electrodes for monitoring biopotential signals. This review paper provides a comprehensive overview of the advances in wearable conductive textile electrodes for biopotential signal monitoring. The paper covers various aspects of the technology, including the electrode design, various manufacturing techniques utilised to fabricate wearable smart fabrics, and performance characteristics. The advantages and limitations of various types of textile electrodes are discussed, and key challenges and future research directions are identified. This will allow them to be used to their fullest potential for signal gathering during physical activities such as running, swimming, and other exercises while being linked into wireless portable health monitoring systems.

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“…Sahoo et al [1] reviewed non-episodic ECG using different features of data analytics. In work [2], a new ECG monitoring system is developed with the use of portable self-designed low cost arduino sensor device. Ferri, et al [3] developed a new method for dry electrodes on textiles.…”

Section: Introductionmentioning

confidence: 99%

Automatic Atrial Fibrillation Detection Using Modified Moth Flame Optimization Algorithm

2023

IJIES

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The absence of P waves through electrocardiogram (ECG) tracing causes atrial fibrillation (AF) affecting around 1% of the global population. In recent years, wearable and portable devices have made mobile healthcare much closer to reality. The main purpose of this article is to develop an automatic AF detection system based on short single lead ECG signals. Also, AF is one kind of arrhythmia that change the rhythms in the heart and have the potential to alter the characteristics of morphology in ECG tracings. For feature extraction, heart rate variability (HRV) and frequency analysis are adopted. The novel contribution of this work is to deploy a modified Moth Flame Optimization algorithm for detecting AF in a short ECG recording. The obtained results were validated with the available public data set comprised of short ECG recordings by genetic algorithm and modified moth flame optimisation algorithm. For N versus A classification, accuracy varies from 94.2% to 97% under noise levels ranging from 0 to 30 dB. For N versus A versus O, maximum accuracy of 84.3% is obtained. The obtained experimental results suggest that HRV is efficient and robust for AF detection for relatively short ECG recording.

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PEDOT: PSS treated cotton-based textile dry electrode for ECG sensing

Cited by 8 publications

References 16 publications

The Influence of Titanium Oxide Nanoparticles and UV Radiation on the Electrical Properties of PEDOT:PSS-Coated Cotton Fabrics

The Influence of Titanium Oxide Nanoparticles and UV Radiation on the Electrical Properties of PEDOT:PSS-Coated Cotton Fabrics

Recent Advances and Challenges in Textile Electrodes for Wearable Biopotential Signal Monitoring: A Comprehensive Review

Automatic Atrial Fibrillation Detection Using Modified Moth Flame Optimization Algorithm

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