Sprecher
Beschreibung
abstract: Neuromorphic devices are transforming healthcare by enabling innovative, low-
power, and efficient solutions for biomedical applications. Inspired by the neural architecture and
computational principles of the human brain, these systems are particularly suited for wearable and
implantable technologies capable of real-time, closed-loop interaction with biological tissue while
operating directly at the edge. In this talk, I will introduce the key features of neuromorphic circuits for
healthcare applications, highlighting how they enable energy-efficient edge computing for continuous
sensing, adaptive processing, and autonomous decision-making. I will present examples of neural
computational primitives for biomedical signal processing and discuss their integration into closed-
loop systems combining artificial and biological intelligence.
By leveraging neuromorphic sensing, spiking neural networks, and edge AI, we can develop next-
generation healthcare technologies, from wearable monitoring platforms to implantable
neuroprosthetic devices, that improve patient care, support personalized medicine, and revolutionize
chronic disease management.