A High Performance Accelerating CNN Inference on FPGA with Arrhythmia Classification. - Ming-Yueh Ku; Tai-Siang Zhong; Yi-Ting Hsieh 001; Shuenn-Yuh Lee; Ju-Yi Chen (AICAS, 2023)

A 10-MS/s Binary Weight-merged SAR ADC for Real-Time Health-Monitoring System Applications. - Yu-Wei Chang; Ming-Yueh Ku; Shuenn-Yuh Lee; Ju-Yi Chen (APCCAS, 2024)

Live Demonstration: An AIoT Wearable ECG Patch with Cloud Platform for Cardiac Disease Detection. - Ming-Yueh Ku; Yi-Ting Hsieh 001; Jia-Jun Liu; Ju-Yi Chen; Shuenn-Yuh Lee (APCCAS, 2024)

A Programmable Systolic-Array AI Accelerator System with High-Performance Model Quantization and Heart Disease Classification Algorithm Design. - Kuan-Cheng Wang; Ming-Yueh Ku; Shuenn-Yuh Lee; Ju-Yi Chen (ISCAS, 2025)

Reconfigurable and Scalable Artificial Intelligence Acceleration Hardware Architecture With RISC-V CNN Coprocessor for Real-Time Seizure Detection. - Shuenn-Yuh Lee; Ming-Yueh Ku; Sing-Yu Pan; Chou-Ching K. Lin (IEEE Access, 2025)

AI Accelerator With Ultralightweight Time-Period CNN-Based Model for Arrhythmia Classification. - Shuenn-Yuh Lee; Ming-Yueh Ku; Wei-Cheng Tseng; Ju-Yi Chen (IEEE Trans. Biomed. Circuits Syst., 2025)

RVDLAHA: An RISC-V DLA Hardware Architecture for On-Device Real-Time Seizure Detection and Personalization in Wearable Applications. - Shuenn-Yuh Lee; Ming-Yueh Ku; Yen-Hsing Tsai; Chou-Ching K. Lin (IEEE Trans. Biomed. Circuits Syst., 2025)