Journal
ADVANCED MATERIALS
Volume 34, Issue 20, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202200393
Keywords
adaptive sensing; ambipolar inverters; neuromorphic computing; organic mixed ionic-electronic conductors
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Funding
- European Union [802615]
- National Natural Science Foundation of China [61620106016/61835009/61775145]
- China Postdoctoral Science Foundation [2020M672771]
- Guangdong Basic and Applied Basic Research Foundation [2020A1515110636]
- European Research Council (ERC) [802615] Funding Source: European Research Council (ERC)
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This study demonstrates a tunable sensing circuit based on a polymer mixed conductor that can locally modulate biologically relevant signals. The circuit, constructed from a complementary logic inverter and a neuromorphic memory element, achieves high classification accuracy in heartbeat anomaly detection. The high-performance material allows for straightforward fabrication and integration of more sophisticated adaptive circuits for future smart bioelectronics.
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.
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