SESSION 33 - Intelligent Neural Interfaces and Sensing Systems.pdf

1、ISSCC 2024SESSION 33Intelligent Neural Interfaces and Sensing Systems33.1:A High Accuracy and Energy-Efficient Zero-Shot-Retraining Seizure Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adaptive Channel Selection 2024 IEEE International Solid-State Circuits Co

2、nference1 of 57A High Accuracy and Energy-Efficient Zero-Shot-Retraining Seizure Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adaptive Channel SelectionJiahao Liu1,Xiao Liu1,Xu Wang1,Ziyi Xie1,Zirui Zhong1,Jiajing Fan1,Hui Qiu1,Yiming Xu1,Huajing Qin1,Yu Long

3、1,Yuhong Zhou2,Zixuan Shen3,Liang Zhou1,Liang Chang1,Shanshan Liu1,Shuisheng Lin1,Chao Wang3*,Jun Zhou1*1University of Electronic Science and Technology of China 2West China Hospital of Sichuan University3Huazhong University of Science and Technology33.1:A High Accuracy and Energy-Efficient Zero-Sho

4、t-Retraining Seizure Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adaptive Channel Selection 2024 IEEE International Solid-State Circuits Conference2 of 57Outline Background and challenges Zero-Shot-Retraining Seizure Detection Processor Hybrid-feature-driven

5、 adaptive processing architecture with on-chip learningLearning-based Adaptive channel selection technique Measurement results Conclusions33.1:A High Accuracy and Energy-Efficient Zero-Shot-Retraining Seizure Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adapt

6、ive Channel Selection 2024 IEEE International Solid-State Circuits Conference3 of 57Outline Background and challenges Zero-Shot-Retraining Seizure Detection Processor Hybrid-feature-driven adaptive processing architecture with on-chip learningLearning-based Adaptive channel selection technique Measu