Evidence map›Paper›PMID 42047304›Full record

ArticleACS applied materials & interfaces2026

Soft, Skin-Conformal Electronic Interfaces for Multimodal Biosignal Monitoring and Transcutaneous Stimulation.

Md Saifur Rahman, Ziyu Zhu, Nicholas B Abadie, Kailash Pillai, Adam Reyes, Luke McKinley, Creed G Bielss, Salina Teng, Jie Zhao, Dimitry G Sayenko and 1 more

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Md Saifur RahmanDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0003-0726-2399
Ziyu ZhuDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0003-3836-6641
Nicholas B AbadieDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.
Kailash PillaiDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.
Adam ReyesDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.
Luke McKinleyDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.
Creed G BielssDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.ORCID 0009-0003-6689-3796
Salina TengDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.
Jie ZhaoDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.
Dimitry G SayenkoDepartment of Neurosurgery, Center for Neuroregeneration, Houston Methodist Research Institute, Houston, Texas 77030, United States.
Limei TianDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-1931-8567

Funding

Continuous metabolite and protein profiling for immune monitoringR35GM147568 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI Limei Tian · 2022 to 2026
$1.8M
NIGMS NIH HHS R35 GM147568
6 · The paper itself

Abstract

Soft, stable, and high-performance skin-electrode interfaces are essential for continuous electrophysiological recording and transcutaneous electrical stimulation. Conventional gel electrodes suffer from dehydration, unstable skin-electrode contact, reduced recording quality, and limited stimulation efficiency during prolonged use. This paper reports a soft, mixed-conducting nanocomposite electrode composed of poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) integrated with hygroscopic and ionic dopants. The synergistic formulation enhances mixed ionic-electronic conduction, mechanical softness, and long-term hydration stability. A simple micromolding process enables scalable fabrication of conformal, freestanding electrodes that adhere seamlessly to the skin. The optimized composition achieves an excellent balance between conductivity and softness, exhibiting approximately a 20-fold lower interfacial impedance and a 2.6-fold higher charge injection capacity compared to gel electrodes. As a result, these nanocomposite electrodes deliver higher signal-to-noise ratios in electrocardiography and electromyography recordings and enhanced bioimpedance sensitivity and achieve a 2-fold expansion of the stimulation window. This nanocomposite design establishes a versatile materials platform for soft, durable, and high-fidelity bioelectronic interfaces, enabling advances in wearable sensing and neuromodulation technologies.

Indexed as

NanocompositesSkinTranscutaneous Electric Nerve StimulationWearable Electronic DevicesBridged Bicyclo Compounds, HeterocyclicElectric ConductivityElectrocardiographyElectrodesElectromyographyHumansPolymersPolystyrenesThiophenesBridged Bicyclo Compounds, Heterocyclicpoly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate)PolymersPolystyrenesThiophenesconductive nanocompositeelectrophysiological recordingionic−electronic conductionPEDOT:PSSsoft electronicstranscutaneous electrical stimulation

Identifiers

PMID42047304
PMCPMC13181717

What OpenQuestion holds

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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.