@article{43b194bfbfc9460f89fc06ed0938ab80,
title = "Adaptive Biosensing and Neuromorphic Classification Based on an Ambipolar Organic Mixed Ionic–Electronic Conductor",
abstract = "Organic mixed ionic–electronic conductors (OMIECs) are central to bioelectronic applications such as biosensors, health-monitoring devices, and neural interfaces, and have facilitated efficient next-generation brain-inspired computing and biohybrid systems. Despite these examples, smart and adaptive circuits that can locally process and optimize biosignals have not yet been realized. Here, a tunable sensing circuit is shown that can locally modulate biologically relevant signals like electromyograms (EMGs) and electrocardiograms (ECGs), that is based on a complementary logic inverter combined with a neuromorphic memory element, and that is constructed from a single polymer mixed conductor. It is demonstrated that a small neuromorphic array based on this material effects high classification accuracy in heartbeat anomaly detection. This high-performance material allows for straightforward monolithic integration, which reduces fabrication complexity while also achieving high on/off ratios with excellent ambient p- and n-type stability in transistor performance. This material opens a route toward simple and straightforward fabrication and integration of more sophisticated adaptive circuits for future smart bioelectronics.",
keywords = "adaptive sensing, ambipolar inverters, neuromorphic computing, organic mixed ionic–electronic conductors",
author = "Yanxi Zhang and {van Doremaele}, {Eveline R.W.} and Gang Ye and Tim Stevens and Jun Song and Chiechi, {Ryan C.} and {van de Burgt}, Yoeri",
note = "Funding Information: Y.Z. and E.R.W.v.D. contributed equally to this work. Y.Z., E.R.W.v.D., and Y.v.d.B. acknowledge financial support from The European Union's Horizon 2020 Research and Innovation Programme, Grant agreement no. 802615. G.Y. and J.S. acknowledge The National Natural Science Foundation of China 61620106016/61835009/61775145. Additionally, G.Y. acknowledges The China Postdoctoral Science Foundation Funded Project Grant 2020M672771 and Guangdong Basic and Applied Basic Research Foundation 2020A1515110636. Funding Information: Y.Z. and E.R.W.v.D. contributed equally to this work. Y.Z., E.R.W.v.D., and Y.v.d.B. acknowledge financial support from The European Union's Horizon 2020 Research and Innovation Programme, Grant agreement no. 802615. G.Y. and J.S. acknowledge The National Natural Science Foundation of China 61620106016/61835009/61775145. Additionally, G.Y. acknowledges The China Postdoctoral Science Foundation Funded Project Grant 2020M672771 and Guangdong Basic and Applied Basic Research Foundation 2020A1515110636. Publisher Copyright: {\textcopyright} 2022 The Authors. Advanced Materials published by Wiley-VCH GmbH.",
year = "2022",
month = may,
day = "19",
doi = "10.1002/adma.202200393",
language = "English",
volume = "34",
journal = "Advanced materials",
issn = "0935-9648",
publisher = "WILEY-V C H VERLAG GMBH",
number = "20",
}