发表论文
[1] Zengding Liu, Bin Zhou, Zhiming Jiang, Xi Chen, Ye Li, Min Tang, Fen Miao. Multiclass Arrhythmia Detection and Classification From Photoplethysmography Signals Using a Deep Convolutional Neural Network. JOURNAL OF THE AMERICAN HEART ASSOCIATION: CARDIOVASCULAR AND CEREBROVASCULAR DISEASE[J]. 2022, 11(7): [2] Ruxin Wang, Shuyuan Chen, Chaojie Ji, Jianping Fan, Ye Li. Boundary-aware context neural network for medical image segmentation. MEDICAL IMAGE ANALYSIS. 2022, 78: [3] Wang, Ruxin, Chen, Shuyuan, Ji, Chaojie, Li, Ye. Cascaded context enhancement network for automatic skin lesion segmentation. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2022, 201: http://dx.doi.org/10.1016/j.eswa.2022.117069.[4] Ni, Zhiqiang, Sun, Fangmin, Li, Ye. Heart Rate Variability-Based Subjective Physical Fatigue Assessment. SENSORS[J]. 2022, 22(9): http://dx.doi.org/10.3390/s22093199.[5] Zhiqiang Ni, Fangmin Sun, Ye Li. Deep Multi-Branch Two-Stage Regression Network for Accurate Energy Expenditure Estimation with ECG and IMU Data. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING[J]. 2022, [6] Mai, Yaozong, Chen, Zizhao, Yu, Baoxian, Li, Ye, Pang, Zhiqiang, Han, Zhang. Non-Contact Heartbeat Detection Based on Ballistocardiogram Using UNet and Bidirectional Long Short-Term Memory. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2022, 26(8): 3720-3730, [7] Zengding Liu, Bin Zhou, Zhiming Jiang, Xi Chen, Li Ye, Min Tang, Fen Miao. Multiclass Arrhythmia Detection and Classification from Photoplethysmography Signals Using a Deep Convolutional Neural Network. Journal of the American Heart Association[J]. 2022, [8] 王怡珊, 苗芬, 安奇, 刘增丁, 陈聪, 李烨. Wearable Multimodal Vital Sign Monitoring Sensor with Fully Integrated Analog Front End. IEEE SENSORS JOURNAL[J]. 2022, [9] Chen, Xianhui, Chen, Ying, Ma, Wenjun, Fan, Xiaomao, Li, Ye. Toward sleep apnea detection with lightweight multi-scaled fusion network. KNOWLEDGE-BASED SYSTEMS[J]. 2022, 247: http://dx.doi.org/10.1016/j.knosys.2022.108783.[10] Ruxin Wang, Chaojie Ji, Yuxiao Zhang, Li Ye. Focus, Fusion and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, [11] Fangmin Sun, Weilin Zang, Huang, Haohua, Ildar Farkhatdinov, Ye, Li. Accelerometer-Based Key Generation and Distribution Method for Wearable IoT Devices. IEEE INTERNET OF THINGS JOURNAL[J]. 2021, 1636-1650, [12] Jikui Liu, Ruxin Wang, Bo Wen, Zengding Liu, Fen Miao, Ye, Li. Myocardial Infarction Detection and Localization with Electrocardiogram Based on Convolutional Neural Network. CHINESE JOURNAL OF ELECTRONICS[J]. 2021, 833-842, [13] Jikui Liu, Fen Miao, Liyan Yin, Zhiqiang Pang, Ye, Li. A Noncontact Ballistocardiography-based IoMT System for Cardiopulmonary Health Monitoring of Discharged COVID-19 Patients. IEEE INTERNET OF THINGS JOURNAL[J]. 2021, [14] Fen Miao, Zhou Bin, Zengding Liu, Bo Wen, Ye, Li, Min Tang. Using noninvasive adjusted pulse transit time for tracking beat-to-beat systolic blood pressure during ventricular arrhythmia. Hypertension Research[J]. 2021, [15] Fan, Xiaomao, Hu, Zhejing, Wang, Ruxin, Yin, Liyan, Li, Ye, Cai, Yunpeng. A novel hybrid network of fusing rhythmic and morphological features for atrial fibrillation detection on mobile ECG signals. NEURAL COMPUTING & APPLICATIONS[J]. 2020, 32(12): 8101-8113, http://dx.doi.org/10.1007/s00521-019-04318-2.[16] Ning, Zhaolong, Dong, Peiran, Wang, Xiaojie, Obaidat, Mohammad S, Hu, Xiping, Guo, Lei, Guo, Yi, Huang, Jun, Hu, Bin, Li, Ye. When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS[J]. 2020, 16(2): 1352-1361, https://www.webofscience.com/wos/woscc/full-record/WOS:000521337000060.[17] Fangmin Sun, Weilin Zang, Raffaele Gravina, Giancarlo Fortino, Ye, Li. Gait-based identification for elderly users in wearable healthcare systems. INFORMATION FUSION[J]. 2020, 134-144, [18] Qihang Yao, Ruxin Wang, Xiaomao Fan, LIU Jikui, Ye, Li. Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network. INFORMATION FUSIONnull. 2020, 174-182, [19] Zang, Weilin, Miao, Fen, Gravina, Raffaele, Sun, Fangmin, Fortino, Giancarlo, Li, Ye. CMDP-based intelligent transmission for wireless body area network in remote health monitoring. NEURAL COMPUTING & APPLICATIONS[J]. 2020, 32(3): 829-837, https://www.webofscience.com/wos/woscc/full-record/WOS:000512022900017.[20] Miao, Fen, Liu, ZengDing, Liu, JiKui, Wen, Bo, He, QingYun, Li, Ye. Multi-Sensor Fusion Approach for Cuff-Less Blood Pressure Measurement. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2020, 24(1): 79-91, http://dx.doi.org/10.1109/JBHI.2019.2901724.[21] Xiangdong Zhang, Dan Wu, Fen Miao, Hao Liu, Ye, Li. Personalized Hemodynamic Modeling of the Human Cardiovascular System: A Reduced-Order Computing Model. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING[J]. 2020, 2754-2764, [22] Wang, Ruxin, Yao, Qihang, Fan, Xiaomao, Li, Ye, IEEE. Multi-class Arrhythmia Detection based on Neural Network with Multi-stage Features Fusion. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)null. 2019, 4082-4087, [23] Miao, Fen, Wang, Xurong, Yin, Liyan, Li, Ye. A Wearable Sensor for Arterial Stiffness Monitoring Based on Machine Learning Algorithms. IEEE SENSORS JOURNAL[J]. 2019, 19(4): 1426-1434, https://www.webofscience.com/wos/woscc/full-record/WOS:000457327900027.[24] Li Ye. An Efficient Extraction Approach of Heart Rate Variability from Real-time Smartphone Videos. IEEE International Conference on Real-time Computing and Robotics. 2019, [25] Liu, ZengDing, Miao, Fen, Wang, Ruxin, Liu, Jikui, Wen, Bo, Li, Ye, IEEE. Cuff-less Blood Pressure Measurement Based on Deep Convolutional Neural Network. 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)null. 2019, 3775-3778, [26] Sun, Fangmin, Mao, Chenfei, Fan, Xiaomao, Li, Ye. Accelerometer-Based Speed-Adaptive Gait Authentication Method for Wearable IoT Devices. IEEE INTERNET OF THINGS JOURNAL[J]. 2019, 6(1): 820-830, [27] Zhang, Jialun, Wu, Dan, Li, Ye, IEEE. Cuff-less and Calibration-free Blood Pressure Estimation Using Convolutional Autoencoder with Unsupervised Feature Extraction. 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)null. 2019, 3323-3326, [28] Zhang, Hao, Li, Ye. A Low-Power Dynamic-Range Relaxed Analog Front End for Wearable Heart Rate and Blood Oximetry Sensor. IEEE SENSORS JOURNAL[J]. 2019, 19(19): 8387-8392, [29] Liu, Jikui, Yin, Liyan, He, Chenguang, Wen, Bo, Hong, Xi, Li, Ye. A Multiscale Autoregressive Model-Based Electrocardiogram Identification Method. IEEE ACCESS[J]. 2018, 6: 18251-18263, https://doaj.org/article/1c6f6a615ea8468fb81768333e31e406.[30] Fan, Xiaomao, Yao, Qihang, Cai, Yunpeng, Miao, Fen, Sun, Fangmin, Li, Ye. Multiscaled Fusion o Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2018, 22(6): 1744-1753, http://dx.doi.org/10.1109/JBHI.2018.2858789.[31] Miao, Fen, Cai, YunPeng, Zhang, YuXiao, Fan, XiaoMao, Li, Ye. Predictive Modeling of Hospital Mortality for Patients With Heart Failure by Using an Improved Random Survival Forest. IEEE ACCESS[J]. 2018, 6: 7244-7253, https://doaj.org/article/36d03b388bec4e58958bc75d60826a60.[32] Miao, Fen, Fu, Nan, Zhang, YuanTing, Ding, XiaoRong, Hong, Xi, He, Qingyun, Li, Ye. A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2017, 21(6): 1730-1740, http://www.chinair.org.cn/handle/1471x/1747950.[33] Weilin Zang, Ye Li. Gait Cycle Driven Transmission Power Control Scheme for Wireless Body Area Network. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2017, http://ir.siat.ac.cn:8080/handle/172644/12623.[34] Sun, Fangmin, Yi, Chenfu, Li, Ye. Battery-friendly scheduling policy in MAC layer for WBAN data packets transmission. IET COMMUNICATIONS[J]. 2017, 11(9): 1423-1430, http://www.chinair.org.cn/handle/1471x/1747936.[35] Dai, Huhe, Yin, Liyan, Li, Ye. QRS residual removal in atrial activity signals extracted from single lead: a new perspective based on signal extrapolation. IET SIGNAL PROCESSING[J]. 2016, 10(9): 1169-1175, http://www.chinair.org.cn/handle/1471x/1747916.[36] Weilin Zang, Shengli Zhang, Ye, Li. An Accelerometer-Assisted Transmission Power Control Solution for Energy-Efficient Communications in WBAN. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS[J]. 2016, 3427-3437, [37] Miao, Fen, Cheng, Yayu, He, Yi, He, Qingyun, Li, Ye. A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone. SENSORS[J]. 2015, 15(5): 11465-11484, https://doaj.org/article/afa0e3e46da44da7b4eb476a10278018.[38] Yi, Chenfu, Wang, Lili, Li, Ye. Energy Efficient Transmission Approach for WBAN Based on Threshold Distance. IEEE SENSORS JOURNAL[J]. 2015, 15(9): 5133-5141, https://www.webofscience.com/wos/woscc/full-record/WOS:000358648200051.[39] Miao, Fen, He, Yi, Liu, Jinlei, Li, Ye, Ayoola, Idowu. Identifying typical physical activity on smartphone with varying positions and orientations. BIOMEDICAL ENGINEERING ONLINE[J]. 2015, 14(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000353327400001.[40] He, Yi, Li, Ye. Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS[J]. 2013, 9: https://doaj.org/article/e6beb15a1402439bb2b66b5650c84f62.[41] He, Chenguang, Fan, Xiaomao, Li, Ye. Toward Ubiquitous Healthcare Services With a Novel Efficient Cloud Platform. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING[J]. 2013, 60(1): 230-234, https://www.webofscience.com/wos/woscc/full-record/WOS:000312897900020.[42] Liang, Yuanjun, Li, Ye. Closed-Form Expressions for the Resistance and the Inductance of Different Profiles of Through-Silicon Vias. IEEE ELECTRON DEVICE LETTERS[J]. 2011, 32(3): 393-395, https://www.webofscience.com/wos/woscc/full-record/WOS:000287658400057.[43] Li, Ye, Li, Honggang, Zhang, Yuwei, Qiao, Dengyu. Packet transmission policies for battery operated wireless sensor networks. FRONTIERS OF COMPUTER SCIENCE IN CHINA[J]. 2010, 4(3): 365-375, https://www.webofscience.com/wos/woscc/full-record/WOS:000292504800007.[44] Li Ye. Green Technologies for Implanted Wireless Sensor Nodes. IEEE Transactions on Information Technology in Biomedicine. 2010, [45] Qiao, Dengyu, Li, Ye, Zhang, Yuwei. Energy Efficient Video Transmission over Fast Fading Channels. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING[J]. 2010, https://doaj.org/article/0b7de24f97724010b8284031f23f2761.[46] Li, Ye, Reisslein, Martin, Chakrabarti, Chaitali. Energy-Efficient Video Transmission Over a Wireless Link. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY[J]. 2009, 58(3): 1229-1244, https://www.webofscience.com/wos/woscc/full-record/WOS:000264631900016.[47] Li, Ye, Bakkaloglu, Bertan, Chakrabarti, Chaitali. A system level energy model and energy-quality evaluation for integrated transceiver front-ends. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS[J]. 2007, 15(1): 90-103, https://www.webofscience.com/wos/woscc/full-record/WOS:000244803900010.[48] Energy-Quality System Design for Wireless Communication. http://ir.siat.ac.cn:8080/handle/172644/2603.[49] MobiHealthcare System: Body Sensor Network based M-Health System for Healthcare Application. http://ir.siat.ac.cn:8080/handle/172644/3977.[50] Power-Aware Wireless Communication System Design for Body Area Networks. http://ir.siat.ac.cn:8080/handle/172644/4825.[51] The Logistic Regression Analysis on Risk Factors of Hypertension among Peasants in East China & Its Results Validating. http://ir.siat.ac.cn:8080/handle/172644/4826.[52] Falling-Incident Detection and Alarm by Smartphone with Multimedia Messaging Service (MMS). http://ir.siat.ac.cn:8080/handle/172644/3978.