SYSTEM AND METHOD FOR NEUROMORPHIC CONTROLLED ADAPTIVE PACING OF RESPIRATORY MUSCLES AND NERVES

Adaptive systems and methods for automatically determining and continuously updating stimulation parameters for adjusting ventilation to accommodate a patient's specific physiology, metabolic needs, and muscle state are disclosed herein. Having a closed loop implementation, the system may comprise a controller including a neuromorphic controlled adaptive feed-forward Pattern Generator/Pattern Shaper (PG/PS) assembly, which controls respiratory muscle movement using electrical stimulation. This PG/PS assembly comprises a biomimetic design where the pattern generator includes a neural network mimicking the simplified connectivity pattern of respiratory related neurons in the brain stem to produce a rhythmic breathing pattern frequency and the pattern shaper includes a neural network mimicking the simplified connectivity pattern of neurons to produce a stimulus control signal. This biomimetic design for the controller automatically customizes and continually updates stimulation parameters to achieve a desired breathing pattern and, thereby, slow the development of muscle fatigue.