Multiscaled fusion of deep convolutional neural networks for screening atrial fibrillation from single lead short ECG recordings X Fan, Q Yao, Y Cai, F Miao, F Sun, Y Li IEEE journal of biomedical and health informatics 22 (6), 1744-1753, 2018 | 303 | 2018 |
Long-term blood pressure prediction with deep recurrent neural networks P Su, XR Ding, YT Zhang, J Liu, F Miao, N Zhao 2018 IEEE EMBS International conference on biomedical & health informatics …, 2018 | 220 | 2018 |
Continuous blood pressure measurement from invasive to unobtrusive: Celebration of 200th birth anniversary of Carl Ludwig XR Ding, N Zhao, GZ Yang, RI Pettigrew, B Lo, F Miao, Y Li, J Liu, ... IEEE journal of biomedical and health informatics 20 (6), 1455-1465, 2016 | 195 | 2016 |
A novel continuous blood pressure estimation approach based on data mining techniques F Miao, N Fu, YT Zhang, XR Ding, X Hong, Q He, Y Li IEEE journal of biomedical and health informatics 21 (6), 1730-1740, 2017 | 188 | 2017 |
A wearable context-aware ECG monitoring system integrated with built-in kinematic sensors of the smartphone F Miao, Y Cheng, Y He, Q He, Y Li Sensors 15 (5), 11465-11484, 2015 | 155 | 2015 |
Multi-sensor fusion approach for cuff-less blood pressure measurement F Miao, ZD Liu, JK Liu, B Wen, QY He, Y Li IEEE journal of biomedical and health informatics 24 (1), 79-91, 2019 | 136 | 2019 |
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques F Miao, B Wen, Z Hu, G Fortino, XP Wang, ZD Liu, M Tang, Y Li Artificial intelligence in medicine 108, 101919, 2020 | 124 | 2020 |
Predictive modeling of hospital mortality for patients with heart failure by using an improved random survival forest F Miao, YP Cai, YX Zhang, XM Fan, Y Li Ieee Access 6, 7244-7253, 2018 | 92 | 2018 |
Identifying typical physical activity on smartphone with varying positions and orientations F Miao, Y He, J Liu, Y Li, I Ayoola Biomedical engineering online 14, 1-15, 2015 | 79 | 2015 |
Cuffless blood pressure estimation using pressure pulse wave signals ZD Liu, JK Liu, B Wen, QY He, Y Li, F Miao Sensors 18 (12), 4227, 2018 | 75 | 2018 |
Biometrics based novel key distribution solution for body sensor networks F Miao, L Jiang, Y Li, YT Zhang 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 71 | 2009 |
Is random survival forest an alternative to cox proportional model on predicting cardiovascular disease? F Miao, YP Cai, YT Zhang, CY Li 6th European Conference of the International Federation for Medical and …, 2015 | 46 | 2015 |
Risk Prediction of One‐Year Mortality in Patients with Cardiac Arrhythmias Using Random Survival Forest F Miao, YP Cai, YX Zhang, Y Li, YT Zhang Computational and mathematical methods in medicine 2015 (1), 303250, 2015 | 42 | 2015 |
Biometric key distribution solution with energy distribution information of physiological signals for body sensor network security F Miao, SD Bao, Y Li IET Information Security 7 (2), 87-96, 2013 | 42 | 2013 |
A noncontact ballistocardiography-based IoMT system for cardiopulmonary health monitoring of discharged COVID-19 patients J Liu, F Miao, L Yin, Z Pang, Y Li IEEE Internet of Things Journal 8 (21), 15807-15817, 2021 | 39 | 2021 |
A wearable sensor for arterial stiffness monitoring based on machine learning algorithms F Miao, X Wang, L Yin, Y Li IEEE Sensors Journal 19 (4), 1426-1434, 2018 | 39 | 2018 |
A modified fuzzy vault scheme for biometrics-based body sensor networks security F Miao, SD Bao, Y Li 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 1-5, 2010 | 37 | 2010 |
CMDP-based intelligent transmission for wireless body area network in remote health monitoring W Zang, F Miao, R Gravina, F Sun, G Fortino, Y Li Neural computing and applications 32, 829-837, 2020 | 34 | 2020 |
Mobihealthcare system: Body sensor network based m-health system for healthcare application F Miao, X Miao, W Shangguan, Y Li Scientific Research Publishing, 2012 | 31 | 2012 |
Multiclass arrhythmia detection and classification from photoplethysmography signals using a deep convolutional neural network Z Liu, B Zhou, Z Jiang, X Chen, Y Li, M Tang, F Miao Journal of the American Heart Association 11 (7), e023555, 2022 | 30 | 2022 |