Body surface potential mapping: a perspective on high-density cutaneous electrophysiology
Author(s)
Serrano, Ruben Ruiz-Mateos
Farina, Dario
Malliaras, George G
Type
Journal Article
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.
Date Issued
2025-01-27
Date Acceptance
2025-01-01
Citation
Advanced Science, 2025, 12 (4)
ISSN
2198-3844
Publisher
Wiley
Journal / Book Title
Advanced Science
Volume
12
Issue
4
Copyright Statement
© 2024 The Author(s). Advanced Science published by Wiley-VCH GmbH This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/39679757
Subjects
ACUTE MYOCARDIAL-INFARCTION
BSPM
Chemistry
Chemistry, Multidisciplinary
EEG
electrophysiology
EMG
HEART POTENTIALS
high-density
HIGH-RESOLUTION
IMAGING ECGI
INVERSE PROBLEM
LOCALIZATION
mapping
MAPS
Materials Science
Materials Science, Multidisciplinary
Nanoscience & Nanotechnology
Physical Sciences
REPOLARIZATION
Science & Technology
Science & Technology - Other Topics
Technology
wearables
Publication Status
Published
Coverage Spatial
Germany
Article Number
2411087
Date Publish Online
2024-12-16