Pressure-sensitive electrochemiluminescent synaptic device for electrocardiogram pattern classification and visualization

An electrocardiogram (ECG) pattern classification and visualization device comprising:

• a sensor for measuring an electrocardiogram signal of a living body;
• an artificial neural network configured to receive the electrocardiogram signal from the sensor as an input and transmit an output via signal propagation;
• and
• a synaptic element configured to receive a signal processed by the artificial neural network therefrom and visualize an electrocardiogram pattern based on the received signal,
• wherein the synaptic element includes:
• a source electrode;
• a drain electrode horizontally spaced apart from the source electrode;
• an organic semiconductor layer deposited on both the source electrode and the drain electrode so as to be in contact with both the source electrode and the drain electrode;
• an ion-gel layer formed on the organic semiconductor layer;
• and
• a gate electrode formed on the ion-gel layer and formed in a shape in which at least one portion of a lower surface thereof is convex downwardly,
• wherein the synaptic element is configured to receive the processed signal from the artificial neural network via the gate electrode,
• wherein the ion-gel layer includes:
• a polymer matrix;
• an ionic liquid dispersed in the polymer matrix and having electrical conductivity;
• one or more luminophores dispersed in the polymer matrix and generating electrochemical luminescence in response to electrical stimulation;
• and
• a co-reactant transferring electrons to the luminophores in response to the electrical stimulation.