Most Cited Papers In Last Two Years

Artificial intelligence streamlines diagnosis and assessment of prognosis in Brugada syndrome: a systematic review and meta-analysis

The pivotal role of data harmonization in revolutionizing global healthcare: a framework and a case study

An exploratory study of the relationship between pulse transit time and blood pressure based on causal inference

Validation of deep learning models for cuffless blood pressure estimation on a large benchmarking dataset

A multi-channel photoplethysmography array with contact-force regulation for tonoarteriographic imaging

Year-end reflections of CHATmed - 2023

Acknowledgment to reviewers of Connected Health And Telemedicine in 2023

Interventions of eHealth technologies integrated with non-physician health workers for improving management of hypertension: Systematic review and meta-analysis

A scoping review of digital health interventions for cardiovascular diseases in the WHO South-East Asia region

A protocol for digital cardiovascular prevention feasibility study using hybrid home blood pressure telemonitoring system

Review of electrooculography-based human-computer interaction: recent technologies, challenges and future trends

Advancing cardiovascular disease prediction: portable or wearable devices for automatic and rapid blood sample collection for biomarker detection with simultaneous physiological marker measurement

Some perspectives of continuous arterial blood pressure measurements: from kymograph to tonoarteriographic imaging

Towards wearable sensing-based precise and rapid responding system for the early detection of future pandemic

Impact of different financial incentive structures on a web-based health survey: do timing and amount matter?

Camera-based remote photoplethysmography for blood pressure measurement: current evidence, clinical perspectives, and future applications

The use of restricted activity to identify global decline in multimorbidity: current evidence and the potential of a connected health approach

A qualitative study for co-designing the future of technology to support physical activity for adolescents living with type 1 diabetes