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Yuan-Ting Zhang
University of Hong Kong
310Publications
42H-index
6,992Citations
Publications 310
Newest
Published on Jan 1, 2018in IEEE Journal of Biomedical and Health Informatics4.22
Quan Zhang16
Estimated H-index: 16
(Harvard University),
Ning Zhang (Harvard University)+ 8 AuthorsJunfeng Gao (Harvard University)
Published on Aug 27, 2019in arXiv: Signal Processing
Xiaorong Ding (University of Oxford), Bryan P. Yan26
Estimated H-index: 26
(CUHK: The Chinese University of Hong Kong)
+ 3 AuthorsNi Zhao (CityU: City University of Hong Kong)
This study explores extended feature space that is indicative of blood pressure (BP) changes for better estimation of continuous BP in an unobtrusive way. A total of 222 features were extracted from noninvasively acquired electrocardiogram (ECG) and photoplethysmogram (PPG) signals with the subject undergoing coronary angiography and/or percutaneous coronary intervention, during which intra-arterial BP was recorded simultaneously with the subject at rest and while administering drugs to induce B...
Published on Jun 1, 2019in IEEE Transactions on Biomedical Engineering4.49
Jing Liu5
Estimated H-index: 5
(CUHK: The Chinese University of Hong Kong),
Bryan P. Yan26
Estimated H-index: 26
(CUHK: The Chinese University of Hong Kong)
+ 3 AuthorsNi Zhao40
Estimated H-index: 40
(CUHK: The Chinese University of Hong Kong)
Objective: To fight the “silent killer” hypertension, continuous blood pressure (BP) monitoring has been one of the most desired functions in wearable electronics. However, current BP measuring principles and protocols either involve a vessel occlusion process with a cuff or require multiple sensing nodes on the body, which makes it difficult to implement them in compact wearable electronics like smartwatches and wristbands with long-term wearability. Methods: In this work, we proposed a highly ...
Published on Feb 18, 2019in Biomedical Engineering Letters
Xiaorong Ding (University of Oxford), Yuan-Ting Zhang42
Estimated H-index: 42
(CityU: City University of Hong Kong),
Yuan-Ting Zhang (CityU: City University of Hong Kong)
Cuffless technique holds great promise to measure blood pressure (BP) in an unobtrusive way, improving diagnostics and monitoring of hypertension and its related cardiovascular diseases, and maximizing the independence and participation of individual. Pulse transit time (PTT) has been the most commonly employed techniques for cuffless BP estimation. Many studies have been conducted to explore its feasibility and validate its performance in the clinical settings. However, there is still issues an...
Published on Jan 1, 2019in IEEE Reviews in Biomedical Engineering
Yuan-Ting Zhang42
Estimated H-index: 42
(HKU: University of Hong Kong),
Emma Pickwell-MacPherson27
Estimated H-index: 27
(Warw.: University of Warwick)
Discusses the benefits of mobile health(mHealth) technologies. These technologies empower patients to be more involved in their own care, give healthcare consumers greater access to providers, and vice versa, and allow for better personalized, precise, pervasive, and preventive medicine, in more effective and less costlyways.At the cutting edge of health engineering, the field of emerging mHealth promises a new era of highly individualized treatment of disease and preventive medicine, bringing t...
Published on Jan 1, 2019in IEEE Journal of Biomedical and Health Informatics4.22
Constantinos S. Pattichis34
Estimated H-index: 34
(UCY: University of Cyprus),
Costas Pitris10
Estimated H-index: 10
(UCY: University of Cyprus)
+ 1 AuthorsYuan-Ting Zhang42
Estimated H-index: 42
(CAS: Chinese Academy of Sciences)
Published on 2019in IEEE Access4.10
Wenrong Yan1
Estimated H-index: 1
,
Rong-Chao Peng3
Estimated H-index: 3
+ 1 AuthorsDerek Ho7
Estimated H-index: 7
Published on Dec 1, 2018in IEEE Transactions on Biomedical Engineering4.49
Sandeep Pirbhulal9
Estimated H-index: 9
,
Zhang Huaguang51
Estimated H-index: 51
(CAS: Chinese Academy of Sciences)
+ 2 AuthorsYuan-Ting Zhang42
Estimated H-index: 42
(HKU: University of Hong Kong)
Heartbeats based random binary sequences (RBSs) are the backbone for several security aspects in wireless body sensor networks (WBSNs). However, current heartbeats based methods require a lot of processing time (∼25–30 s) to generate 128-bit RBSs in real-time healthcare applications. In order to improve time efficiency, a biometric RBSs generation technique using interpulse intervals (IPIs) of heartbeats is developed in this study. The proposed technique incorporates a finite monotonic increasin...
Published on Nov 1, 2018in IEEE Journal of Biomedical and Health Informatics4.22
Zhibo Pang , Heng Yuan (Thailand Ministry of Industry)+ 1 AuthorsMuthukumaran Packirisamy17
Estimated H-index: 17
(Concordia University)
The aging of population has been recognized as one of the top grand global challenges. Age-related diseases such as neurodegenerative diseases, cardiovascular and cerebrovascular diseases, and psychological diseases have become the primary killers of human and consume the major portion of healthcare resources due to the long course of disease and large patient base. Powered by the technologies originated from manufacturing industries driven by the fourth revolution of industry (Industry 4.0), th...
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