Evidence map›Paper›PMID 39597205›Full record

ArticleMicromachines2024

Design, Testing, and Validation of a Soft Robotic Sensor Array Integrated with Flexible Electronics for Mapping Cardiac Arrhythmias.

Abdellatif Ait Lahcen, Michael Labib, Alexandre Caprio, Mohsen Annabestani, Lina Sanchez-Botero, Weihow Hsue, Christopher F Liu, Simon Dunham, Bobak Mosadegh

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Abdellatif Ait LahcenDalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0002-7091-3388
Michael LabibDalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.
Alexandre CaprioDalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.
Mohsen AnnabestaniDalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0003-1004-4747
Lina Sanchez-BoteroDalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0003-3151-2538
Weihow HsueDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0002-2972-0760
Christopher F LiuDepartment of Cardiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0001-8852-4551
Simon DunhamDalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.
Bobak MosadeghDalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0003-0607-2825

Funding

Prototype development and validation of soft robotic sensor arrays for mapping cardiac arrhythmiaR61HL156153 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DUNHAM, SIMON, MOSADEGH, BOBAK · 2021 to 2022
$617k
Prototype development and validation of soft robotic sensor arrays for mapping cardiac arrhythmiaR33HL156153 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DUNHAM, SIMON, MOSADEGH, BOBAK · 2023 to 2023
$314k
Soft robotic sensor arrays for fast and efficient mapping of cardiac arrhythmias.R43HL170872 · NHLBI · CONFORM MEDICAL INC. · PI DUNHAM, SIMON, MOSADEGH, BOBAK · 2023 to 2023
$300k
NIH HHS 1R43HL170872-01A1NIH HHS 4R33HL156153-03A1NIH HHS 5R61HL156153-02A1
6 · The paper itself

Abstract

Cardiac mapping is a crucial procedure for diagnosing and treating cardiac arrhythmias. Still, current clinical techniques face limitations including insufficient electrode coverage, poor conformability to complex heart chamber geometries, and high costs. This study explores the design, testing, and validation of a 64-electrode soft robotic catheter that addresses these challenges in cardiac mapping. A dual-layer flexible printed circuit board (PCB) was designed and integrated with sensors into a soft robotic sensor array (SRSA) assembly. Design considerations included flex PCB layout, routing, integration, conformity to heart chambers, sensor placement, and catheter durability. Rigorous SRSA in vitro testing evaluated the burst/leakage pressure, block force for electrode contact, mechanical integrity, and environmental resilience. For in vivo validation, a porcine model was used to demonstrate the successful deployment, conformability, and acquisition of electrograms in both the ventricles and atria. This catheter-deployable SRSA represents a meaningful step towards translating the integration of soft robotic actuators and stretchable electronics for clinical use, showcasing the unique mechanical and electrical performance that these designs enable. The high-density electrode array enabled rapid 2 s data acquisition with detailed spatial and temporal resolution, as illustrated by the clear and consistent cardiac signals recorded across all electrodes. The future of this work will lie in enabling high-density, anatomically conformable devices for detailed cardiac mapping to guide ablation therapy and other interventions.

Indexed as

cardiac mappingcatheterflexible printed circuit board (PCB)minimally invasive proceduresoft robotic sensor arrays

Identifiers

PMID39597205
PMCPMC11596174

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.