Zhaoyang Liu

Title: Zhaoyang Liu: Innovator in Electrocardiogram Signal Classification

Introduction

Zhaoyang Liu is a prominent inventor based in Jinan, China. He has made significant contributions to the field of electrocardiogram (ECG) signal classification, holding a total of 7 patents. His innovative approaches have enhanced the accuracy and stability of ECG signal analysis, making a notable impact in medical technology.

Latest Patents

Liu's latest patents include a few-shot electrocardiogram (ECG) signal classification method based on an improved Siamese network. This method constructs a CMP module as a sub-network of a Siamese network, combining extracted local and global features to analyze peak information such as position, amplitude, and offset. This results in a more robust transformed feature vector, improving the accuracy and stability of few-shot ECG signal classification. Another significant patent is an ECG signal classification method based on contrastive learning and multi-scale feature extraction. This method utilizes a SE-ResNeXt-CAN network model, which includes various modules that optimize feature extraction and improve the performance and generalization ability of ECG signal classification tasks.

Career Highlights

Throughout his career, Zhaoyang Liu has worked with esteemed institutions such as Qilu University of Technology and the Shandong Computer Science Center, which is the national Supercomputing Center in Jinan. His work in these organizations has allowed him to develop and refine his innovative techniques in ECG signal classification.

Collaborations

Liu has collaborated with notable colleagues, including Minglei Shu and Pengyao Xu. Their joint efforts have contributed to advancements in the field of medical technology and signal processing.

Conclusion

Zhaoyang Liu's contributions to ECG signal classification through his innovative patents and collaborations highlight his role as a leading inventor in the field. His work continues to influence advancements in medical technology, showcasing the importance of innovation in healthcare.