Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases

Haipeng Liu received his Bachelor and Master in Engineering degrees from Zhejiang University, China, in 2012 and 2015, respectively, and Doctor of Philosophy in Medical Sciences from the Chinese University of Hong Kong, in 2018. From 2019 to 2024, he was a research fellow in Anglia Ruskin University and Coventry University, UK. He is currently an assistant professor at Coventry University. He is the author of over 90 journal articles, 11 conference papers, and 23 book chapters. Dr Liu is an editor of four academic books and seven special issues, and an editorial member of four scientific journals. His research interests include biomechanics, physiological measurement, and computational simulation of cardiovascular diseases. Dr. Liu was a recipient of two Travel Awards of British Heart Foundation, the Research and Innovation Support Fund of Anglia Ruskin University, and the Official Development Assistance (ODA) Fund of Coventry University.Gary Tse completed his pre-clinical training at Trinity Hall, Cambridge (2008), and was subsequently awarded a Doctor of Philosophy (Ph.D.) degree in Cardiac Electrophysiology (2015) and a Doctor of Medicine (M.D.) degree in Cardiovascular Epidemiology (2022) from the University of Cambridge. He was elected a fellow of the European Society of Cardiology (2016), American College of Cardiology (2017), Heart Rhythm Society (2018), Royal College of Physicians of London (2019), Royal College of Paediatrics and Child Health (2019), and Royal College of Pathologists(2022). Currently, he leads a team of researchers from China (Tianjin, Hong Kong) and the UK (Kent, Surrey, and London) focusing on the use of big data for cardiovascular risk prediction. He serves on the Council of the International Society of Electrocardiology, for which he is currently the Secretary. He is a Board of Trustees member of the International Society for Noninvasive Electrocardiology and a Nucleus Committee member of the Population Health Section, European Association of Preventive Cardiology.

• Chapter 1- Novel Approaches in Cardiovascular Diagnostics: Mapping the Research Landscape of the 21st CenturyChapter 2- Cardiovascular Disease Detection and Monitoring Using Wearable Devices and Machine LearningChapter 3- Wearable electrocardiogram sensors for home monitoring of cardiovascular diseasesChapter 4- Application of Electroencephalogram in Detecting Cerebral Small Vessel DiseaseChapter 5- Neuroimaging Biomarkers in Diagnosing Cerebral Small Vessel DiseaseChapter 6- Role of Plasma Inflammatory and Blood biomarkers in CSVDChapter 7- Model-Driven Prediction of Blood Pressure Leveraging Multimodal Sensing DataChapter 8- Enhancing Cardiorespiratory and vascular assessment through enhancement of the PPG Signal: USPPG Signal AnalysisChapter 9- Enhanced diagnosis of myocardial ischemia via advanced cardiac imaging techniques and AI-based ECG-derived approachesChapter 10- Investigating the Relationship Between Myocardial Parameters and Coronary Microvascular Dysfunction (CMD): A Focus on IschemiaChapter 11- Integrating Advanced Sensing Technologies and AI for Predicting Cardiovascular Risks: A Data-Driven Approach in Modern HealthcareChapter 12- Application of Artificial Intelligence in Coronary Computed Tomography Angiography: Progress and ChallengesChapter 13- Diagnosis and Treatment of Acute Ischemic Stroke Using Modern Neuroimaging and Artificial IntelligenceChapter 14- Mass Spectrometry Based Multi-Omic Approaches to Discover Biomarkers for Coronary Artery Diseases