基本信息
苗芬  女  硕导  中国科学院深圳先进技术研究院
电子邮件: fen.miao@siat.ac.cn
通信地址: 深圳市南山区学苑大道1068号
邮政编码:

研究领域

人工智能

大数据分析

健康信息学

招生信息

招生专业
081203-计算机应用技术
083100-生物医学工程
招生方向
机器学习
大数据分析
可穿戴计算

教育背景

2011-09--2016-01   中国科学院大学   博士研究生
2005-09--2008-06   中国科学技术大学   硕士研究生
2001-09--2005-06   西北工业大学   本科

工作经历

   
工作简历
2008-07~现在, 中国科学院深圳先进技术研究院, 研究助理/助理研究员/副研究员

专利与奖励

   
奖励信息
(1) 穿戴式健康信息连续监测与分析技术及系统, 二等奖, 省级, 2016
专利成果
[1] 李烨, 唐闽, 刘增丁, 苗芬. 心律的检测方法、电子设备以及计算机可读存储介质. CN: CN112568886A, 2021-03-30.
[2] 闻博, 李烨, 苗芬, 刘增丁, 刘记奎. 一种基于深度神经网络的血压测量方法及装置. CN: CN111493850A, 2020-08-07.
[3] 李烨, 刘增丁, 苗芬, 刘记奎, 闻博. 一种脉搏波传导的计算方法、装置及终端设备. CN: CN110897618A, 2020-03-24.
[4] 苗芬, 李烨, 刘增丁, 闻博. 一种血压波形监测方法及装置. CN: CN110755059A, 2020-02-07.
[5] 李烨, 刘记奎, 苗芬, 闻博, 刘增丁. 动脉血管年龄估算模型构建方法和装置. CN: CN108185996B, 2020-01-10.
[6] 李烨, 刘记奎, 苗芬, 闻博, 刘增丁. 一种基于ECG的多尺度特征提取方法及装置. CN: CN110495877A, 2019-11-26.
[7] 刘记奎, 李烨, 苗芬, 闻博, 刘增丁. 基于ECG的疾病预测方法、装置及电子设备. CN: CN110495878A, 2019-11-26.
[8] 苗芬, 李烨, 蔡云鹏. 疾病预警装置. CN: CN106599553B, 2019-08-16.
[9] 李烨, 樊小毛, 项福如, 蔡云鹏, 苗芬. 基于GPU的并行心电信号分析方法. CN: CN105899268B, 2019-02-15.
[10] 李烨, 蔡云鹏, 杨玉洁, 苗芬. 血糖监测方法、装置及系统. 中国: CN105653865B, 2018-06-05.
[11] 苗芬, 李烨, 刘记奎, 刘增丁, 闻博. 动脉硬化程度的评估方法、装置及动脉硬化检测仪. 中国: CN107961001A, 2018-04-27.
[12] 李烨, 尹丽妍, 蔡云鹏, 何晨光, 虞素灵, 苗芬, 何青云. 一种基于心电信号的身份识别方法及其装置. 中国: CN106874722A, 2017-06-20.
[13] 樊小毛, 李烨, 何晨光, 苗芬. 基于蜂群算法的排班方法. 中国: CN104517021A, 2015.04.15.
[14] 李烨, 王俊, 上官卫华, 苗芬, 程亚宇, 胡波平. 微型心电采集仪. 中国: CN302352252S, 2013-03-13.

出版信息

   
发表论文
[1] 刘增丁, 苗芬. Cuffless Blood Pressure Measurement using Smartwatches: A Large-scale Validation Study. IEEE Journal of Biomedical and Health Informatics[J]. 2023, [2] Fen Miao, Dan Wu, Zengding Liu, Ruojun Zhang, Min Tang, Ye Li, Ningning Wang. Wearable sensing, big data technology for cardiovascular healthcare: current status and future prospective. CHINESE MEDICAL JOURNAL[J]. 2023, 136(9): https://doaj.org/article/70ffdcd8fec549a08f2119c8b895fd75.
[3] 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, [4] 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, [5] 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, [6] 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, [7] 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, [8] Liu, ZengDing, Zhou, Bin, Li, Ye, Tang, Min, Miao, Fen. Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias. FRONTIERS IN PHYSIOLOGY[J]. 2020, 11: https://doaj.org/article/56981ad84b824cf5824e2b854052798c.
[9] 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.
[10] 蒋志铭, 苗芬, 黄园, 李烨. 限食辟谷试验干预观察和基于比例风险回归模型的限食降压的预后估计. 集成技术[J]. 2020, 9(4): 25-35, http://lib.cqvip.com/Qikan/Article/Detail?id=7102508637.
[11] 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.
[12] Miao, Fen, Wen, Bo, Hu, Zhejing, Fortino, Giancarlo, Wang, XiPing, Liu, ZengDing, Tang, Min, Li, Ye. Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques. ARTIFICIAL INTELLIGENCE IN MEDICINE[J]. 2020, 108: http://dx.doi.org/10.1016/j.artmed.2020.101919.
[13] 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, [14] 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.
[15] 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, [16] Runge Chen, Fen Miao, Jing Zheng, Yongsheng Wu, Ye Li. Effects of Consecutive Moderately Cold Days on Cardiovascular Disease Mortality in Shenzhen, China: A Preliminary Study. 2018, http://ir.siat.ac.cn:8080/handle/172644/14155.
[17] Xurong Wang, Runge Chen, Ye Li, Fen Miao. Predictive Value of Prothrombin Time for ALL-cause Mortality in Acute Myocardial Infarction Patients. 2018, http://ir.siat.ac.cn:8080/handle/172644/14071.
[18] Liu, ZengDing, Liu, JiKui, Wen, Bo, He, QingYun, Li, Ye, Miao, Fen. Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals. SENSORS[J]. 2018, 18(12): http://ir.siat.ac.cn:8080/handle/172644/13932.
[19] 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.
[20] 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.
[21] 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.
[22] 洪溪, 李烨, 何青云, 林剑华, 刘利明, 苗芬. 基于舒张期时间的个体化血压建模方法研究. 生物医学工程研究[J]. 2017, 36(2): 126-132, http://lib.cqvip.com/Qikan/Article/Detail?id=672579469.
[23] Chen, Runge, Yang, Yujie, Miao, Fen, Cai, Yunpeng, Lin, Denan, Zheng, Jing, Li, Ye, IEEE. 3-Year Risk Prediction of Coronary Heart Disease in Hypertension Patients: A Preliminary Study. 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)null. 2017, 1182-1185, [24] Ding, XiaoRong, Zhao, Ni, Yang, GuangZhong, Pettigrew, Roderic I, Lo, Benny, Miao, Fen, Li, Ye, Liu, Jing, Zhang, YuanTing. Continuous Blood Pressure Measurement From Invasive to Unobtrusive: Celebration of 200th Birth Anniversary of Carl Ludwig. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2016, 20(6): 1455-1465, http://dx.doi.org/10.1109/JBHI.2016.2620995.
[25] 张元亭, 丁晓蓉, 郑亚莉, 周小林, 苗芬, 吴丹, 刘庆. 用于心脑血管易损患者实时早期预警的可穿戴无扰式多模传感理论与系统设计. 中国科技成果[J]. 2015, 32-33, http://lib.cqvip.com/Qikan/Article/Detail?id=664943176.
[26] 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.
[27] Miao, Fen, Cai, YunPeng, Zhang, YuXiao, Li, Ye, Zhang, YuanTing. Risk Prediction of One-Year Mortality in Patients with Cardiac Arrhythmias Using Random Survival Forest. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE[J]. 2015, 2015: https://doaj.org/article/36068317cc604caf9d03868eee084a0d.
[28] 苗芬. Risk Prediction of 1-Year Mortality in Patients with Cardiac Arrhythmias using Random Survival Forest. Computational and Mathematical Methods in Medicine. 2015, [29] 苗芬. 急性心血管事件风险因子检测及非线性早期预警建模. 2015, [30] 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.
[31] Miao, Fen, Cai, YunPeng, Zhang, YuanTing, IEEE. Risk Prediction for Heart Failure Incidence within 1-year Using Clinical and Laboratory Factors. 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)null. 2014, 1790-1793, [32] Miao, Fen, Bao, ShuDi, Li, Ye. Biometric key distribution solution with energy distribution information of physiological signals for body sensor network security. IET INFORMATION SECURITY[J]. 2013, 7(2): 87-96, http://dx.doi.org/10.1049/iet-ifs.2012.0104.
[33] Li, Ye, Qiao, Dengyu, Xu, Zhao, Xu, Da, Miao, Fen, Zhang, Yuwei. Energy-Model-Based Optimal Communication Systems Design for Wireless Sensor Networks. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS[J]. 2012, 8: https://doaj.org/article/568b7298f48f4fb1a481954676c9abee.
[34] Miao, Fen, Bao, ShuDi, Li, Ye, IEEE. A Modified Fuzzy Vault Scheme for Biometrics-based Body Sensor Networks Security. 2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010null. 2010, [35] Miao Fen, Jiang Lei, Li Ye, Zhang YuanTing, IEEE. Biometrics Based Novel Key Distribution Solution for Body Sensor Networks. 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20null. 2009, 2458-2461, [36] Su, Peng, Ding, Xiao-Rong, Zhang, Yuan-Ting, Liu, Jing, Miao, Fen, Zhao, Ni. Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks. http://arxiv.org/abs/1705.04524.
[37] A novel indicator for cuff-less blood pressure estimation based on photoplethysmography. http://ir.siat.ac.cn:8080/handle/172644/10549.

科研活动

   
科研项目
( 1 ) 基于生存树的急性心肌梗死早期预警及其多生理参数建模, 主持, 国家级, 2016-01--2018-12
( 2 ) 基于压力波的血压检测算法项目, 主持, 院级, 2017-04--2018-10
( 3 ) 面向穿戴式应用的新型无扰式连续血压测量方法研究, 主持, 省级, 2015-10--2017-09
( 4 ) 社区高血压人群简化降压方案的研究, 参与, 省级, 2018-11--2021-11
( 5 ) 穿戴式信息技术与系统创新平台, 参与, 部委级, 2016-09--2019-08
( 6 ) 基于多参数融合的高分辨率连续血压测量方法研究, 参与, 国家级, 2018-01--2021-12
( 7 ) 经皮股动脉介入术后体征监测与穿刺点即刻止血机器人关键技术研究, 参与, 国家级, 2020-01--2023-12
( 8 ) 自然人群多维组学基线特征及其关联规律挖掘, 参与, 部委级, 2020-01--2025-12
( 9 ) 超声连续血压检测技术合作项目, 主持, 院级, 2020-10--2021-12
( 10 ) 无感血压检测合作项目, 主持, 院级, 2020-10--2022-12
参与会议
(1)可穿戴健康大数据分析   医学大数据与人工智能   2020-09-12
(2)AI-driven Cuff-less Blood Pressure Measurement   2019-05-17
(3)Predictive Value of Prothrombin Time for All-cause Mortality in Acute Myocardial Infarction Patients   2018-07-21

指导学生

已指导学生

陆一乾  硕士研究生  085211-计算机技术  

现指导学生

邱靖  硕士研究生  085400-电子信息  

协助指导学生毕业去向

闻博 硕士研究生 香港大学攻读博士学位

蒋志铭  硕士研究生  中国人民大学攻读博士学位