• Published: 06 June 2018

Evolving fuzzy-neural paradigm applied to the recognition and removal of artefactual beats in continuous seismocardiogram recordings

• Mario Malcangi,
• Hao Quan,
• […]
• Marco Di Rienzo

Evolving Systems volume 11, pages443–452(2020)Cite this article

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Abstract

Seismocardiogram (SCG) recording is a novel method for the prolonged monitoring of the cardiac mechanical performance during spontaneous behavior. Thousands of beats are recorded during a variety of physical activities so that the automatic analysis and processing of such data is a challenging task due to the presence of artefactual beats and morphological changes over time that currently request the human expertise. We propose the use of the evolving fuzzy neural network (EFuNN) paradigm for the automatic artifact prediction in the SCG signal. The fuzzy logic processing method can be applied to model the human expertise knowledge using the learning capabilities of an artificial neural network. The evolving capability of the EFuNN paradigm has been applied to solve the issue of the physiological variability of the SGC waveform. Tests have been carried out to validate this approach. The obtained results demonstrate that the EFuNN’s evolving capabilities are effective to solve most of the issues related to the learning and to the scalability of the method on an off-the shelf computing platform.

The above article is a very elegant solution to the continuous monitoring of the human heart under load.
This article/research from 2018 was published by Springer in a selection of scientific papers by Greek academics selected by Professor Iliadis of Democratis University of Thrace on 11 August, 2020.

Longer term holders will recall he and another are the inventors of the spiking neural network cyber security architecture licenced by BRN to incorporate in AKIDA technology and who last year when being interviewed by a student run publication at his university stated that AKIDA and his cyber technology were already being tested by an auto maker in the USA.

Anyway this solution because of the above connection and the fact that at the end of the passage which I hope to insert states it is designed to run on an off the shelf computing platform may be yet another potential use case for AKIDA technology.

My opinion and speculation only DYOR.