Evidence map›Paper›PMID 42334055›Full record

ArticleAdvanced healthcare materials2026

Self-Maintaining Electrode-Skin Interface for Motion-Robust Biosignal Monitoring.

Tran Quang Trung, Shamanth Kuthpadi Seethakantha, Zhenyu Lei, Amirmohammad Radmehr, Phuc Nguyen, Deepak Ganesan

Abstract read
In one paragraph

Article in Advanced healthcare materials, 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

6 authors.

Tran Quang TrungManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0000-0003-1698-7543
Shamanth Kuthpadi SeethakanthaManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0009-0001-1438-5779
Zhenyu LeiManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6867-1431
Amirmohammad RadmehrManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0009-0007-5763-8645
Phuc NguyenManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0000-0001-8078-4463
Deepak GanesanManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2762-9194

Funding

Validating novel sleep sensors and devices in older adults with Alzheimer's diseaseP30AG073107 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Benjamin M. Marlin · 2021 to 2026
$32.0M
National Science Foundation 2401415NIA NIH HHS P30 AG073107NIH HHS P30AG073107
6 · The paper itself

Abstract

The electrode-skin interface presents a fundamental challenge in bioelectronics: maintaining stable electrical contact with tissue that undergoes constant physiological changes. Here we demonstrate a paradigm shift by engineering a self-sustaining microenvironment at the skin-electrode interface through the integration of Au-coated fabric electrodes with a humidity-regulating cooling patch. Our smart electrode-integrated cooling (SEIC) patch uses evaporative cooling to create a humid microenvironment where water condensation continuously regenerates ionic pathways between skin and electrode. This transforms the interface from a static contact point to a dynamic, self-renewing electrochemical junction. The SEIC patch exhibits 200-fold and 10-fold lower impedances than Au-coated fabric electrodes and conventional electrodes, respectively; maintains performance through 2000 attachment cycles; enables stable biosignal acquisition for eight days; and preserves signal fidelity under motion. Moreover, the SEIC demonstrates applications in continuous cardiac monitoring during daily life, and real-time 3D facial animation reconstruction in virtual reality via high-fidelity capture of facial muscle activity. This work opens new frontiers in preventive medicine and human-computer interaction.

Indexed as

SkinElectrodesGoldHumansMonitoring, PhysiologicMotionGoldcardiac monitoringmotion‐robust biosignal monitoringreconstructed 3D facial animationself‐maintaining electrode–skin interfacesmart electrode‐integrated cooling patch

Identifiers

PMID42334055
PMCPMC13447913

What OpenQuestion holds

Textmetadata
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.