Neuromorphic Pattern Generation Circuits for Bioelectronic Medicine

TL;DR

This paper explores neuromorphic circuits for bioelectronic medicine, focusing on real-time physiological monitoring and pattern generation, including neural oscillators for adaptive pacemakers.

Contribution

It introduces neuromorphic circuit designs tailored for bioelectronic applications, including models for respiratory and cardiac rhythm control.

Findings

Demonstrated a three-phase network modeling respiratory and cardiac rhythms

Showcased neuromorphic implementation of neural oscillators for pattern generation

Proposed circuits for real-time physiological parameter monitoring

Abstract

Chronic diseases can greatly benefit from bioelectronic medicine approaches. Neuromorphic electronic circuits present ideal characteristics for the development of brain-inspired low-power implantable processing systems that can be interfaced with biological systems. These circuits, therefore, represent a promising additional tool in the tool-set of bioelectronic medicine. In this paper, we describe the main features of neuromorphic circuits that are ideally suited for continuously monitoring the physiological parameters of the body and interact with them in real-time. We propose examples of computational primitives that can be used for real-time pattern generation and present a neuromorphic implementation of neural oscillators for the generation of sequence activation patterns. We demonstrate the features of such systems with an implementation of a three-phase network that models the dynamics of the respiratory Central Pattern Generator (CPG) and the heart chambers rhythm, and that could be used to build an adaptive pacemaker.