Evidence map›Paper›PMID 32422981›Full record

ArticleSensors (Basel, Switzerland)2020

Theoretical Aspects of Resting-State Cardiomyocyte Communication for Multi-Nodal Nano-Actuator Pacemakers.

Pengfei Lu, Mladen Veletić, Jacob Bergsland, Ilangko Balasingham

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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

4 authors.

Pengfei LuThe Intervention Centre, Oslo University Hospital, 0372 Oslo, Norway.ORCID 0000-0001-7465-0418
Mladen VeletićThe Intervention Centre, Oslo University Hospital, 0372 Oslo, Norway.ORCID 0000-0003-1960-8019
Jacob BergslandThe Intervention Centre, Oslo University Hospital, 0372 Oslo, Norway.ORCID 0000-0002-3101-4064
Ilangko BalasinghamThe Intervention Centre, Oslo University Hospital, 0372 Oslo, Norway.ORCID 0000-0001-5259-3221

Funding

European Commission 675353Norges Forskningsråd 270957
6 · The paper itself

Abstract

The heart consists of billions of cardiac muscle cells-cardiomyocytes-that work in a coordinated fashion to supply oxygen and nutrients to the body. Inter-connected specialized cardiomyocytes form signaling channels through which the electrical signals are propagated throughout the heart, controlling the heart's beat to beat function of the other cardiac cells. In this paper, we study to what extent it is possible to use ordinary cardiomyocytes as communication channels between components of a recently proposed multi-nodal leadless pacemaker, to transmit data encoded in subthreshold membrane potentials. We analyze signal propagation in the cardiac infrastructure considering noise in the communication channel by performing numerical simulations based on the Luo-Rudy computational model. The Luo-Rudy model is an action potential model but describes the potential changes with time including membrane potential and action potential stages, separated by the thresholding mechanism. Demonstrating system performance, we show that cardiomyocytes can be used to establish an artificial communication system where data are reliably transmitted between 10 s of cells. The proposed subthreshold cardiac communication lays the foundation for a new intra-cardiac communication technique.

Indexed as

Cell CommunicationPacemaker, ArtificialAction PotentialsHumansMembrane PotentialsMyocytes, Cardiacbody area networkcardiomyocytescellular communicationintra-body communicationmolecular communications

Identifiers

PMID32422981
PMCPMC7285237

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.