Category Archives: Publications

Catheter -integrated soft multilayer electronic arrays for multiplexed sensing and actuation during cardiac surgery

Multimodal multiplexed soft sensors and actuators for minimally invasive surgery

WHAT IS KNOWN?

  1. Catheters are widely used for minimally invasive therapies such as atrial fibrillation ablation, intravascular stents, etc. In addition, they are also used for capturing information during procedures such as measuring temperature, pressure, electrograms etc.
  2. However, these catheters are limited by mechanical rigidity, low spatial densities, single function capability necessitating use of multiple catheters to acquire critical information.

WHAT THIS STUDY ADDS?

  1. We have designed a novel flexible, stretchable and tissue conforming electronics device integrated with a balloon catheter that supports simultaneous high-density spatiotemporal mapping of temperature, pressure, and electrograms.
  2. In addition, our device allows for programmable electrical stimulation, radio frequency ablation and irreversible electroporation.
  3. This novel device, the first of its kind, anywhere in the world, will eventually enable physicians to acquire a rich set of physiological information and complete surgeries and deliver therapies in shorter times than currently possible, with a single instrumented catheter system.

LINK TO THE ARTICLE

Mengdi Han*, Lin Chen*, Kedar Aras*, Cunman Liang, Xuexian Chen, Hangbo Zhao, Kan Li, Ndeye Rokhaya Faye, Bohan Sun, Jae-Hwan Kim, Wubin Bai, Quansan Yang, Yuhang Ma, Wei Lu, Enming Song, Janice Mihyun Baek, Yujin Lee, Clifford Liu, Jeffrey B. Model, Guanjun Yang, Roozbeh Ghaffari, Yonggang Huang, Igor R. Efimov, John A. Rogers. Catheter-integrated soft multilayer electronic arrays for multiplexed sensing and actuation during cardiac surgery. Nature Biomedical Engineering (2020). https://doi.org/10.1038/s41551-020-00604-w.

Genetic algorithm based model of action potential

WHAT IS KNOWN?

  1. Computer models use patient specific tissue geometry and cardiac fiber orientation to generate clinically relevant simulations of human cardiac action potentials.
  2. However, none of the models take into account tissue-specific, person-specific, and pathology-specific gene expression profiles which all are known to affect the action potential morphology and propagation dynamics.

WHAT THIS STUDY ADDS?

  1. A novel modification of genetic algorithm which determines personalized parameters of cardiac action potential based on set of human action potentials recorded at different heart rates.
  2. A mRNA based model that can predict action potential waveform at different heart rates with high precision and which makes it possible to map gene expression profile to cardiac function.

LINK TO THE ARTICLE

Smirnov D, Pikunov A, Syunyaev R, Deviatiiarov R, Gusev O, Aras K, Gams A, Koppel A, Efimov IR. Genetic algorithm-based personalized models of human cardiac action potential. PLoS One. 2020;15(5):e0231695. doi: 10.1371/journal.pone.0231695. eCollection 2020. PubMed PMID: 32392258.

Granger Causality-Based Fibrillation Analysis

WHAT IS KNOWN?

  1. Preclinical studies have implicated multiple mechanisms for sustaining myocardial fibrillation
  2. Clinical translation to guide treatment in patients with atrial fibrillation and ventricular fibrillation survival remains challenging due to poor spatial resolution of clinical mapping systems and a lack of suitable analysis tool.

WHAT THIS STUDY ADDS?

  1. Granger causality analysis, originally an econometric tool for quantifying causal relationships between complex-time series, was developed in rat ventricular fibrillation and validated in human ventricular fibrillation and atrial fibrillation as a novel fibrillation mapping tool.
  2. Grange causality-based fibrillation analysis can measure global fibrillation organization, characterize dominant propagating patterns, and map rotational drivers using low spatial resolution sequentially acquired data.

LINK TO ARTICLE

Handa BS, Li X, Aras KK, Qureshi NA, Mann I, Chowdhury RA, Whinnett ZI, Linton NWF, Lim PB, Kanagaratnam P, Efimov IR, Peters NS, Ng FS. Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotational Drivers. Circ Arrhythm Electrophysiol. 2020 Mar;13(3):e008237. doi: 10.1161/CIRCEP.119.008237. Epub 2020 Feb 16. PubMed PMID: 32064900; PubMed Central PMCID: PMC7069398.