Wearable Neuromorphic Device for Personalized Healthcare

The rising research interest in personalized medicine presents a tremendous opportunity for developing wearable devices toward predictive analytics and treatment. Emerging neuromorphic computing technologies that mimic the data processing properties of biological neural networks offer a promising solution for handling overflowing data related to personalized healthcare. In this talk, I will first introduce the implementation of a simplified, functionally flexible analog-type operator by physically defining short-term plasticity and long-term plasticity in a crossbar synapse array. The applicability of such neuromorphic processor consisting of short-term synapses and long-term synapses was evaluated by constructing a small-sized analog-type operator to conduct representative data-processing tasks for wearable applications. I will also introduce our latest works on the development of wearable, flexible, and multifunctional bioelectronic systems with multimodal physicochemical sensing and neuromorphic computing capabilities for personalized healthcare.