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A 0.01mm2, 0.4V-VDD, 4.5nW-Power DC-Coupled Digital Acquisition Front-End Based on Time-Multiplexed Digital Differential Amplification Conference paper
Paolo Crovetti, Roberto Rubino, Pedro Toledo, Francesco Musolino, Hamilton Klimach, Yong Chen, Anna Richelli. A 0.01mm2, 0.4V-VDD, 4.5nW-Power DC-Coupled Digital Acquisition Front-End Based on Time-Multiplexed Digital Differential Amplification[C]:IEEE, 2022, 405-408.
Authors:  Paolo Crovetti;  Roberto Rubino;  Pedro Toledo;  Francesco Musolino;  Hamilton Klimach; et al.
Favorite | TC[Scopus]:3 | Submit date：2023/01/30
Cmos  Dc-coupled Digital Acquisition Front-end (Dafe)  Ecg  Iot  Time-multiplexed Digital Differential Amplification (Tmd2a)  
Deep Learning for Detecting and Locating Myocardial Infarction by Electrocardiogram: A Literature Review Review article
2022
Authors:  Xiong, Ping;  Lee, Simon Ming Yuen;  Chan, Ging
Favorite | TC[WOS]:26 TC[Scopus]:37  IF:2.8/3.1 | Submit date：2023/01/30
Deep Learning  Electrocardiogram (Ecg)  Myocardial Infarction Detection  Myocardial Infarction Localization  Neural Networks  
Quantitative measurements of zebrafish heartrate and heart rate variability: A survey between 1990–2020 Journal article
Dongmin Ling, Huanxian Chen, Ging Chan, Simon Ming-Yuen Lee. Quantitative measurements of zebrafish heartrate and heart rate variability: A survey between 1990–2020[J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 142, 105045.
Authors:  Dongmin Ling;  Huanxian Chen;  Ging Chan;  Simon Ming-Yuen Lee
Favorite | TC[WOS]:14 TC[Scopus]:14  IF:7.0/6.7 | Submit date：2022/03/28
Zebrafish Heart Rate Detection  Hr  Hrv  Ecg  Automatic Nervous System  Cardiovascular Disease  
A 2.63 μw ECG Processor with Adaptive Arrhythmia Detection and Data Compression for Implantable Cardiac Monitoring Device Journal article
Yin, Yue, Abubakar, Syed Muhammad, Tan, Songyao, Shi, Jiahua, Yang, Peilin, Yang, Wendi, Jiang, Hanjun, Wang, Zhihua, Jia, Wen, Ua, Seng Pan. A 2.63 μw ECG Processor with Adaptive Arrhythmia Detection and Data Compression for Implantable Cardiac Monitoring Device[J]. IEEE Transactions on Biomedical Circuits and Systems, 2021, 15(4), 777-790.
Authors:  Yin, Yue;  Abubakar, Syed Muhammad;  Tan, Songyao;  Shi, Jiahua;  Yang, Peilin; et al.
Favorite | TC[WOS]:24 TC[Scopus]:30  IF:3.8/4.8 | Submit date：2021/12/08
Adaptive Arrhythmia Detection  Data Compression  Ecg Processor  Implantable Cardiac Monitoring  Swinging Door Trending  
A smart detection technology for personal ECG monitoring via chaos-based data mapping strategy Journal article
Li, Shih Yu, Lin, Yu Cheng, Tam, Lap Mou. A smart detection technology for personal ECG monitoring via chaos-based data mapping strategy[J]. Multimedia Tools and Applications, 2021, 80(4), 6397-6412.
Authors:  Li, Shih Yu;  Lin, Yu Cheng;  Tam, Lap Mou
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:3.0/2.9 | Submit date：2021/12/07
Chaos-based Data Transform  Ecg Monitoring  Smart Machine  
An ECG data sampling method for home-use IoT ECG monitor system optimization based on brick-up metaheuristic algorithm Journal article
Song, Qun, Li, Tengyue, Fong, Simon, Wu, Feng. An ECG data sampling method for home-use IoT ECG monitor system optimization based on brick-up metaheuristic algorithm[J]. Mathematical Biosciences and Engineering, 2021, 18(6), 9076-9093.
Authors:  Song, Qun;  Li, Tengyue;  Fong, Simon;  Wu, Feng
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.600/2.300 | Submit date：2022/05/13
Brick-up Metaheuristic Optimization Algorithm  Ecg Data Sampling  In-home Iot Monitoring System  Long Short-term Memory Networks  
Statistical n-Best AFD-Based Sparse Representation for ECG Biometric Identification Journal article
Tan, Chunyu, Zhang, Liming, Qian, Tao, Bras, Susana, Pinho, Armando J.. Statistical n-Best AFD-Based Sparse Representation for ECG Biometric Identification[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70, 2515713.
Authors:  Tan, Chunyu;  Zhang, Liming;  Qian, Tao;  Bras, Susana;  Pinho, Armando J.
Favorite | TC[WOS]:1 TC[Scopus]:4  IF:5.6/5.6 | Submit date：2022/05/13
Biometric Identification  Electrocardiogram (Ecg)  Sparse Representation  Statistical N-best Adaptive Fourier Decomposition (Safd)  Time-frequency Representation  
A 65.5-dB SNDR 8.1–11.1-nW ECG SAR ADC With Adaptive-Latching OSC-Based Comparator and DAC Calibration Journal article
Li,Kejin, Zhang,Wai Hong, Chen,Yun, Zhu,Yan, Chan,Chi Hang, Martins,Rui Paulo. A 65.5-dB SNDR 8.1–11.1-nW ECG SAR ADC With Adaptive-Latching OSC-Based Comparator and DAC Calibration[J]. IEEE Solid-State Circuits Letter, 2020, 3, 482-485.
Authors:  Li,Kejin;  Zhang,Wai Hong;  Chen,Yun;  Zhu,Yan;  Chan,Chi Hang; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3 | Submit date：2022/01/25
Ecg Analog-to-digital Converter (Adc)  Lsb-first Algo-rithm  Osc-based Comparator  Calibration  
A 65.5-dB SNDR 8.1-11.1-nW ECG SAR ADC with Adaptive-Latching OSC-Based Comparator and DAC Calibration Journal article
Li,Kejin, Zhang,Wai Hong, Chen,Yun, Zhu,Yan, Chan,Chi Hang, Martins,Rui Paulo. A 65.5-dB SNDR 8.1-11.1-nW ECG SAR ADC with Adaptive-Latching OSC-Based Comparator and DAC Calibration[J]. IEEE Solid-State Circuits Letters, 2020, 3, 482-485.
Authors:  Li,Kejin;  Zhang,Wai Hong;  Chen,Yun;  Zhu,Yan;  Chan,Chi Hang; et al.
Favorite | TC[WOS]:1 TC[Scopus]:4 | Submit date：2021/03/09
Calibration  Ecg Analog-to-digital Converter (Adc)  Lsb-first Algorithm  Osc-based Comparator  
A High DR High-Input-Impedance Programmable-Gain ECG Acquisition Interface with Non-inverting Continuous Time Sigma-Delta Modulator Conference paper
Junhao Liang, Sai-Weng Sin, U. Seng-Pan, Franco Maloberti, R.P. Martins, Hanjun Jiang. A High DR High-Input-Impedance Programmable-Gain ECG Acquisition Interface with Non-inverting Continuous Time Sigma-Delta Modulator[C]:IEEE, 2019, 309-312.
Authors:  Junhao Liang;  Sai-Weng Sin;  U. Seng-Pan;  Franco Maloberti;  R.P. Martins; et al.
Favorite | TC[WOS]:4 TC[Scopus]:6 | Submit date：2021/03/09
Ct Sigma Delta Ad Converter  Ecg  High Impedance  Non-invertering Integrator  Programmable Integrator