Sonified Quantum Seizures. Sonification of time series in epileptic seizures and simulation of seizures via quantum modelling

TL;DR

This paper introduces a novel method combining sonification and quantum computing to analyze and simulate epileptic seizures, providing new tools for understanding and predicting seizure activity.

Contribution

It pioneers the integration of quantum modeling with sonification techniques for seizure analysis, offering a new approach to compare real and simulated seizure data.

Findings

Sonified real ECoG seizure data into polyphonic sequences.

Developed two quantum approaches to simulate seizure episodes.

Compared real and simulated sonifications to identify similarities and discrepancies.

Abstract

We apply sonification strategies and quantum computing to the analysis of an episode of seizure. We first sonify the signal from a selection of channels (from real ECoG data), obtaining a polyphonic sequence. Then, we propose two quantum approaches to simulate a similar episode of seizure, and we sonify the results. The comparison of sonifications can give hints on similarities and discrepancies between real data and simulations, helping refine the \textit{in silico} model. This is a pioneering approach, showing how the combination of quantum computing and sonification can broaden the perspective of real-data investigation, and helping define a new test bench for analysis and prediction of seizures.