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Yongbo Liang
Yongbo Liang
Verified email at alumni.ubc.ca
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Year
The use of photoplethysmography for assessing hypertension
M Elgendi, R Fletcher, Y Liang, N Howard, NH Lovell, D Abbott, K Lim, ...
NPJ digital medicine 2 (1), 60, 2019
5222019
An optimal filter for short photoplethysmogram signals
Y Liang, M Elgendi, Z Chen, R Ward
Scientific data 5 (1), 1-12, 2018
2262018
A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China
Y Liang, Z Chen, G Liu, M Elgendi
Scientific data 5 (1), 1-7, 2018
2092018
Photoplethysmography and deep learning: enhancing hypertension risk stratification
Y Liang, Z Chen, R Ward, M Elgendi
Biosensors 8 (4), 101, 2018
1692018
Hypertension assessment via ECG and PPG signals: An evaluation using MIMIC database
Y Liang, Z Chen, R Ward, M Elgendi
Diagnostics 8 (3), 65, 2018
1422018
Toward generating more diagnostic features from photoplethysmogram waveforms
M Elgendi, Y Liang, R Ward
Diseases 6 (1), 20, 2018
1022018
How effective is pulse arrival time for evaluating blood pressure? Challenges and recommendations from a study using the MIMIC database
Y Liang, D Abbott, N Howard, K Lim, R Ward, M Elgendi
Journal of clinical medicine 8 (3), 337, 2019
1012019
Hypertension assessment using photoplethysmography: a risk stratification approach
Y Liang, Z Chen, R Ward, M Elgendi
Journal of clinical medicine 8 (1), 12, 2018
962018
An automatic diagnosis of arrhythmias using a combination of CNN and LSTM technology
Z Zheng, Z Chen, F Hu, J Zhu, Q Tang, Y Liang
Electronics 9 (1), 121, 2020
852020
Deep learning algorithm classifies heartbeat events based on electrocardiogram signals
Y Liang, S Yin, Q Tang, Z Zheng, M Elgendi, Z Chen
Frontiers in Physiology 11, 569050, 2020
492020
Atrial fibrillation identification with PPG signals using a combination of time-frequency analysis and deep learning
P Cheng, Z Chen, Q Li, Q Gong, J Zhu, Y Liang
IEEE Access 8, 172692-172706, 2020
302020
Chelerythrine and Fe3O4 loaded multi-walled carbon nanotubes for targeted cancer therapy
L Cao, Y Liang, F Zhao, X Zhao, Z Chen
Journal of Biomedical Nanotechnology 12 (6), 1312-1322, 2016
232016
Robust reconstruction of electrocardiogram using photoplethysmography: A subject-based Model
Q Tang, Z Chen, Y Guo, Y Liang, R Ward, C Menon, M Elgendi
Frontiers in Physiology 13, 859763, 2022
222022
Label-free amperometric immunosensor based on graphene oxide and ferrocene-chitosan nanocomposites for detection of hepatis B virus antigen
F Zhao, L Cao, Y Liang, Z Wu, Z Chen, R Zeng
Journal of Biomedical Nanotechnology 13 (10), 1300-1308, 2017
212017
Preparation and characterisation of magnetic Fe3O4/graphene oxide nanocomposites
LL Cao, SM Yin, YB Liang, JM Zhu, C Fang, ZC Chen
Materials Research Innovations 19 (sup1), S1-364-S1-368, 2015
182015
Blood pressure stratification using photoplethysmography and light gradient boosting machine
X Hu, S Yin, X Zhang, C Menon, C Fang, Z Chen, M Elgendi, Y Liang
Frontiers in Physiology 14, 1072273, 2023
172023
Ppg-bp database
Y Liang, G Liu, Z Chen, M Elgendi
Figshare. Dataset. Available online: https://figshare. com/articles/dataset …, 2018
172018
An integrated electrochemical immunochromatographic test strip based on the amplification of gold nanoparticles for quantitative detection of alpha-fetoprotein
L Cao, C Fang, Y Liang, X Zhao, Y Jiang, Z Chen
Journal of Nanoscience and Nanotechnology 16 (12), 12187-12193, 2016
122016
Research on a Non-Invasive Hemoglobin Measurement System Based on Four-Wavelength Photoplethysmography
Z Chen, H Qin, W Ge, S Li, Y Liang
Electronics 12 (6), 1346, 2023
82023
The use of photoplethysmography for assessing hypertension. npj Digit. Med. 2, 60 (2019)
M Elgendi, R Fletcher, Y Liang
7
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