| Pulse transit time measurement using seismocardiogram, photoplethysmogram, and acoustic recordings: Evaluation and comparison C Yang, N Tavassolian IEEE journal of biomedical and health informatics 22 (3), 733-740, 2017 | 68 | 2017 |
| Combined seismo-and gyro-cardiography: A more comprehensive evaluation of heart-induced chest vibrations C Yang, N Tavassolian IEEE journal of biomedical and health informatics 22 (5), 1466-1475, 2017 | 61 | 2017 |
| Utilizing gyroscopes towards the automatic annotation of seismocardiograms C Yang, S Tang, N Tavassolian IEEE Sensors Journal 17 (7), 2129-2136, 2017 | 52 | 2017 |
| Motion artifact cancellation of seismocardiographic recording from moving subjects C Yang, N Tavassolian IEEE Sensors Journal 16 (14), 5702-5708, 2016 | 44 | 2016 |
| Classification of aortic stenosis using time–frequency features from chest cardio-mechanical signals C Yang, ND Aranoff, P Green, N Tavassolian IEEE Transactions on Biomedical Engineering 67 (6), 1672-1683, 2019 | 39 | 2019 |
| Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signals C Yang, BD Ojha, ND Aranoff, P Green, N Tavassolian Scientific Reports 10 (1), 17521, 2020 | 38 | 2020 |
| An independent component analysis approach to motion noise cancelation of cardio-mechanical signals C Yang, N Tavassolian IEEE Transactions on Biomedical Engineering 66 (3), 784-793, 2018 | 35 | 2018 |
| A pilot study on fetal heart rate extraction from wearable abdominal inertial sensors C Yang, C Antoine, BK Young, N Tavassolian IEEE Sensors Journal 19 (22), 10773-10781, 2019 | 25 | 2019 |
| An open-access database for the evaluation of cardio-mechanical signals from patients with valvular heart diseases C Yang, F Fan, N Aranoff, P Green, Y Li, C Liu, N Tavassolian Frontiers in Physiology 12, 750221, 2021 | 22 | 2021 |
| Wearable fetal ECG monitoring system from abdominal electrocardiography recording Y Zhang, A Gu, Z Xiao, Y Xing, C Yang, J Li, C Liu Biosensors 12 (7), 475, 2022 | 21 | 2022 |
| Motion noise cancellation in seismocardiogram of ambulant subjects with dual sensors C Yang, N Tavassolian 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 19 | 2016 |
| Annotation of seismocardiogram using gyroscopic recordings C Yang, S Tang, N Tavassolian 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 204-207, 2016 | 18 | 2016 |
| Motion noise cancellation in seismocardiographic monitoring of moving subjects C Yang, N Tavassolian 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015 | 17 | 2015 |
| Pulse transit time measurement using seismocardiogram and in-ear acoustic sensor C Yang, N Tavassolian 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 188-191, 2016 | 15 | 2016 |
| Design and evaluation of an autonomic nerve monitoring system based on skin sympathetic nerve activity Y Xing, Y Zhang, C Yang, J Li, Y Li, C Cui, J Li, H Cheng, Y Fang, C Cai, ... Biomedical Signal Processing and Control 76, 103681, 2022 | 13 | 2022 |
| Non-contact electrocardiograms acquisition method based on capacitive coupling Z Xiao, Y Xing, C Yang, J Li, C Liu IEEE Instrumentation & Measurement Magazine 25 (2), 53-61, 2022 | 12 | 2022 |
| Mean pressure gradient prediction based on chest angular movements and heart rate variability parameters A Shokouhmand, C Yang, ND Aranoff, E Driggin, P Green, N Tavassolian 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 12 | 2021 |
| A binary classification of cardiovascular abnormality using time-frequency features of cardio-mechanical signals C Yang, ND Aranoff, P Green, N Tavassolian 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 12 | 2018 |
| A feasibility study on a low-cost, smartphone-based solution of pulse transit time measurement using cardio-mechanical signals C Yang, N Tavassolian 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT), 93-96, 2017 | 11 | 2017 |
| An atrial fibrillation detection system based on machine learning algorithm with mix-domain features and hardware acceleration C Chen, C Ma, Y Xing, Z Li, H Gao, X Zhang, C Yang, C Liu, J Li 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 10 | 2021 |
Chengyu LiuProfessor in Southeast University, China在 sdu.edu.cn 的电子邮件经过验证
