Yongfu Li
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Research Topics

Biomedical Circuits and Systems

Advancing Wearable Sensor Innovation: From Circuits and Algorithms to System Integration in Cardiopulmonary Monitoring

Topic #1: Digital Stethoscope Systems  —  Auscultation (Sound) Technique

  • Present Team Members (alphabetical order): Changyan Chen, Huajie Huang, Rui Pan, Qing Zhang, Yuhang Zhang

Algorithm Research

cardiopulmonary 

  • “LungHeart-AtMe: Adventitious Cardiopulmonary Sounds Classification Using MMoE with STFT and MFCCs Spectrograms”, IEEE AICAS, 2023. (paper)

  • “LungAttn: Advanced Lung Sound Classification Using Attention Mechanism with Dual TQWT and Triple STFT Spectrogram”, Physiological Measurement, 2021. (paper)

  • “LungRN+NL: An Improved Adventitious Lung Sound Classification Using non-local block ResNet Neural Network with Mixup Data Augmentation”, Interspeech, 2020. (paper)

  • “LungBRN: a Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm”, IEEE BioCAS, 2019. (paper)

  • “LungSys: a Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm”, IEEE BioCAS, 2019. (paper)

Dataset Research

grandchallenge 

  • “SPRSound: Open-Source SJTU Paediatric Respiratory Sound Database”, IEEE TBioCAS, 2022. (paper)

  • “Grand Challenge on Respiratory Sound Classification for SPRSound Dataset II”, IEEE BioCAS, 2023.

  • “Grand Challenge on Respiratory Sound Classification for SPRSound Dataset”, IEEE BioCAS, 2022. (paper)

Topic #2: Electrical Impedance Tomography (EIT) Systems  —  Impedance Technique

  • Present Team Members (alphabetical order): Jiajie Huang, Ting Zhou, Wang Chao, Wangzilu Lu

eit 

EIT Circuits and Systems

  • “Flexi-EIT: A Flexible and Reconfigurable Active Electrode Electrical Impedance Tomography System”, IEEE TBioCAS, 2023. (paper)

  • “A 0.63-mm2/Ch 1.3-mOhm/sqrt(Hz)-Sensitivity 1-MHz Bandwidth Active Electrode Electrical Impedance Tomography System”, IEEE ASSCC, 2022. (paper)

  • “A 13-Channel 1.53-mW 11.28-mm2 Electrical Impedance Tomography SoC Based on Frequency Division Multiplexing for Lung Physiological Imaging”, IEEE TBioCAS, 2019. (paper)

  • “A 13-channel 1.53-mW 11.28-mm2 Electrical Impedance Tomography SoC Based on Frequency Division Multiplexing with 10x Throughput Reduction”, IEEE ISSCC, 2019. (paper)

  • “A Pulmonary Conditions Monitor Based on Electrical Impedance Tomography Measurement”, IEEE ISCAS, 2019. (paper)

Reconstruction Image Algorthims

  • “EIT-MP: A 2-D Electrical Impedance Tomography Image Reconstruction Method Based on Mixed Precision Asymmetrical Neural Network for Hardware-Software Co-Optimization Platform”, IEEE TBioCAS, 2023. (In Review)

  • “EIT-CDAE: a 2-D Electrical Impedance Tomography Image Reconstruction Method Based on Auto Encoder Technique”, IEEE BioCAS, 2019. (paper)

Mesh Phantoms

  • “Design Automation of a Dynamic Thorax-Like Mesh Phantom for Evaluating the Performance of Electrical Impedance Tomography System”, IEEE OJIM, 2022. (paper)

  • “A Thorax-Like Mesh Phantom for Testing Electrical Impedance Tomography System Performance”, IEEE NEWCAS, 2021. (paper)

Topic #3: Electrocardiogram (ECG) Systems  —  Electrical Technique

ECG Circuits and Systems

  • “A 74-uW 11-Mbps Wireless Vital Signs Monitoring SoC for 3-Lead ECG, Respiration Rate, and Body Temperature”, IEEE TBioCAS, Oct, 2019. (paper)

  • “A 93-uW 11Mbps Wireless Vital Signs Monitoring SoC with 3-Lead ECG, Bio-Impedance, and Body Temperature”, IEEE ASSCC, 2017. (paper)

  • “A 2.89 uW Dry-Electrode Enabled Clockless Wireless ECG SoC for Wearable Applications”, IEEE JSSC, 2016. (paper)

  • “A 2.89-uW clockless wireless dry-electrode ECG SoC for wearable sensors”, IEEE ASSCC, 2015. (paper) (Recommended for JSSC)

ECG Signal Processing and Domain-Specific Architecture

  • “A Computationally Efficient, Hardware Re-configurable Architecture for QRS Detection and ECG authentication”, IEEE ASSCC, 2021.

  • “Low Complexity Binarized 2D-CNN ECG Classifier for Edge AI Devices”, IEEE TBioCAS, 2022. (paper)

  • “An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices”, IEEE TBioCAS, 2022. (paper)

  • “Resource and Energy Efficient Implementation of ECG Classifier using Binarized CNN for Edge AI Devices”, IEEE ISCAS, 2021. (paper) (Recommended for TBioCAS)

  • “A Robust QRS Detection and Accurate R-Peak Identification Algorithm for Wearable ECG Sensors”, SCIENCE CHINA Information Sciences, 2021. (paper)