Evidence map›Paper›PMID 39679757›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Body Surface Potential Mapping: A Perspective on High-Density Cutaneous Electrophysiology.

Ruben Ruiz-Mateos Serrano, Dario Farina, George G Malliaras

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Body Surface Potential Mapping: A Perspective on High-Density Cutaneous Electrophysiology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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

3 authors.

Ruben Ruiz-Mateos SerranoElectrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, CB3 0FA, UK.ORCID https://orcid.org/0000-0002-8501-7068
Dario FarinaDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, W12 7TA, UK.ORCID https://orcid.org/0000-0002-7883-2697
George G MalliarasElectrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, CB3 0FA, UK.ORCID https://orcid.org/0000-0002-4582-8501

Funding

EPSRC grant EP/S022139/1EPSRC Transformative Healthcare, NISNEM Technology EP/T020970European Research Council Synergy Grant NaturalBionicS #810346HORIZON EUROPE UKRI UNDERWRITE INNOVATE 10078978
6 · The paper itself

Abstract

The electrophysiological signals recorded by cutaneous electrodes, known as body surface potentials (BSPs), are widely employed biomarkers in medical diagnosis. Despite their widespread application and success in detecting various conditions, the poor spatial resolution of traditional BSP measurements poses a limit to their diagnostic potential. Advancements in the field of bioelectronics have facilitated the creation of compact, high-quality, high-density recording arrays for cutaneous electrophysiology, allowing detailed spatial information acquisition as BSP maps (BSPMs). Currently, the design of electrode arrays for BSP mapping lacks a standardized framework, leading to customizations for each clinical study, limiting comparability, reproducibility, and transferability. This perspective proposes preliminary design guidelines, drawn from existing literature, rooted solely in the physical properties of electrophysiological signals and mathematical principles of signal processing. These guidelines aim to simplify and generalize the optimization process for electrode array design, fostering more effective and applicable clinical research. Moreover, the increased spatial information obtained from BSPMs introduces interpretation challenges. To mitigate this, two strategies are outlined: observational transformations that reconstruct signal sources for intuitive comprehension, and machine learning-driven diagnostics. BSP mapping offers significant advantages in cutaneous electrophysiology with respect to classic electrophysiological recordings and is expected to expand into broader clinical domains in the future.

Indexed as

Body Surface Potential MappingElectrophysiological PhenomenaElectrophysiologyElectrodesHumansSignal Processing, Computer-AssistedSkinBSPMelectrophysiologyhigh‐densitymappingwearables

Identifiers

PMID39679757
PMCPMC11775574

What OpenQuestion holds

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LicenceCC BY
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.