A High Performance Accelerating CNN Inference on FPGA with Arrhythmia Classification

Ming Yueh Ku, Tai Siang Zhong, Yi Ting Hsieh, Shuenn Yuh Lee, Ju Yi Chen

研究成果: Conference contribution

摘要

A high-performance artificial intelligence accelerator (AIA) for arrhythmia classification on electrocardiography (ECG) is presented in this paper, which proposes an efficient one-dimensional convolutional neural network (1DCNN) with novel multiplicative behavioral and data reuse. The convolutional layer uses weight stationary (WS) to achieve low memory access on tensor-tensor multiplication (TTM) operations and the fully connected layer uses input stationary (IS) to achieve low memory access on inner product matrix-vector multiplication (IPMVM). The lab database and MIT-BIH arrhythmia database are selected to verify the proposed algorithm. The accuracy of software simulation classification on two databases is 97.3% and 98.3%, respectively. Combined with the hardware implementation of quantization and pruned with the architecture of parallel shift processing element array arrangement (PSPEAA) proposed in this work, the accuracies are 96.6% and 96.5%, respectively. The hardware is implemented on Xilinx PYNQ-Z2, and it takes only 0.233 ms operated at 10 MHz and consumes 0.131 W to classify arrhythmia. Finally, according to the proposed technology, the time of memory access is optimized by 29 times and latency is optimized by 22.5 times compared to using a single multiply-accumulate (MAC). Therefore, the proposed architecture can achieve real-time low-power consumption and high-accuracy arrhythmia classification.

原文English
主出版物標題AICAS 2023 - IEEE International Conference on Artificial Intelligence Circuits and Systems, Proceeding
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350332674
DOIs
出版狀態Published - 2023
事件5th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2023 - Hangzhou, China
持續時間: 2023 6月 112023 6月 13

出版系列

名字AICAS 2023 - IEEE International Conference on Artificial Intelligence Circuits and Systems, Proceeding

Conference

Conference5th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2023
國家/地區China
城市Hangzhou
期間23-06-1123-06-13

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦視覺和模式識別
  • 硬體和架構
  • 資訊系統
  • 電氣與電子工程

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