Introduction to the special section: convergence of automation technology, biomedical engineering, and health informatics toward the healthcare 4.0
Industry 4.0 is spilling out from manufacturing to healthcare. In this article, we provide a brief
history and key enabling technologies of Industry 4.0, and its revolution in healthcare …
history and key enabling technologies of Industry 4.0, and its revolution in healthcare …
[HTML][HTML] A survey on big data technologies and their applications to the metaverse: Past, current and future
The development of big data technologies, which have been applied extensively in various
areas, has become one of the key factors affecting modern society, especially in the virtual …
areas, has become one of the key factors affecting modern society, especially in the virtual …
EdgeMediChain: A hybrid edge blockchain-based framework for health data exchange
R Akkaoui, X Hei, W Cheng - IEEE access, 2020 - ieeexplore.ieee.org
Recently, researchers around the world in medical institutions and pharmaceutical
companies are demanding a wider access to healthcare data for secondary use in order to …
companies are demanding a wider access to healthcare data for secondary use in order to …
Health big data analytics: A technology survey
Because of the vast availability of data, there has been an additional focus on the health
industry and an increasing number of studies that aim to leverage the data to improve …
industry and an increasing number of studies that aim to leverage the data to improve …
Weakly-supervised network for detection of COVID-19 in chest CT scans
Deep Learning-based chest Computed Tomography (CT) analysis has been proven to be
effective and efficient for COVID-19 diagnosis. Existing deep learning approaches heavily …
effective and efficient for COVID-19 diagnosis. Existing deep learning approaches heavily …
[HTML][HTML] Big data-enabled solutions framework to overcoming the barriers to circular economy initiatives in healthcare sector
Ever-changing conditions and emerging new challenges affect the ability of the healthcare
sector to survive with the current system, and to maintain its processes effectively. In the …
sector to survive with the current system, and to maintain its processes effectively. In the …
IoT-based smart health system for ambulatory maternal and fetal monitoring
JAL Marques, T Han, W Wu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The adoption of IoT for smart health applications is a relevant tool for distributed and
intelligent automatic diagnostic systems. This work proposes the development of an …
intelligent automatic diagnostic systems. This work proposes the development of an …
[HTML][HTML] Trends and challenges of wearable multimodal technologies for stroke risk prediction
We review in this paper the wearable-based technologies intended for real-time monitoring
of stroke-related physiological parameters. These measurements are undertaken to prevent …
of stroke-related physiological parameters. These measurements are undertaken to prevent …
[HTML][HTML] Visual analytic tools and techniques in population health and health services research: scoping review
Background Visual analytics (VA) promotes the understanding of data with visual, interactive
techniques, using analytic and visual engines. The analytic engine includes automated …
techniques, using analytic and visual engines. The analytic engine includes automated …
Big Data Analytics for large scale wireless body area networks; challenges, and applications
With the development of technology and connectivity, it is has become easier to gather data
regarding a necessity, and use that to analyze, observe and provide solutions to day-to-day …
regarding a necessity, and use that to analyze, observe and provide solutions to day-to-day …