Smart health monitoring systems: an overview of design and modeling
MM Baig, H Gholamhosseini - Journal of medical systems, 2013 - Springer
Health monitoring systems have rapidly evolved during the past two decades and have the
potential to change the way health care is currently delivered. Although smart health …
potential to change the way health care is currently delivered. Although smart health …
A comprehensive survey of wearable and wireless ECG monitoring systems for older adults
Wearable health monitoring is an emerging technology for continuous monitoring of vital
signs including the electrocardiogram (ECG). This signal is widely adopted to diagnose and …
signs including the electrocardiogram (ECG). This signal is widely adopted to diagnose and …
A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
This research aims to describe pattern recognition models for detecting behavioural and
health-related changes in a patient who is monitored continuously in an assisted living …
health-related changes in a patient who is monitored continuously in an assisted living …
[HTML][HTML] Automating global threat-maps generation via advancements of news sensors and AI
Negative events are prevalent all over the globe round the clock. People demonstrate
psychological affinity to negative events, and they incline to stay away from troubled …
psychological affinity to negative events, and they incline to stay away from troubled …
[HTML][HTML] Identifying the drivers of negative news with sentiment, entity and regression analysis
FK Sufi - International Journal of Information Management Data …, 2022 - Elsevier
Modern-day news agencies cater for a wide range of negative news, since multiple studies
show general people are more attracted towards negative news. Once a highly negative …
show general people are more attracted towards negative news. Once a highly negative …
Knowledge discovery of global landslides using automated machine learning algorithms
FK Sufi, M Alsulami - IEEE Access, 2021 - ieeexplore.ieee.org
Understanding the complex dynamics of global landslides is essential for disaster planners
to make timely and effective decisions that save lives and reduce the economic impacts on …
to make timely and effective decisions that save lives and reduce the economic impacts on …
Diagnosis of cardiovascular abnormalities from compressed ECG: a data mining-based approach
Usage of compressed ECG for fast and efficient telecardiology application is crucial, as ECG
signals are enormously large in size. However, conventional ECG diagnosis algorithms …
signals are enormously large in size. However, conventional ECG diagnosis algorithms …
Automated multidimensional analysis of global events with entity detection, sentiment analysis and anomaly detection
FK Sufi, M Alsulami - IEEE Access, 2021 - ieeexplore.ieee.org
The modern era, with information overload, has compelled strategic decision makers to
obtain assistance from artificial intelligence-(AI) based decision support systems (DSS) …
obtain assistance from artificial intelligence-(AI) based decision support systems (DSS) …
Efficient sign based normalized adaptive filtering techniques for cancelation of artifacts in ECG signals: Application to wireless biotelemetry
In this paper, several simple and efficient sign based normalized adaptive filters, which are
computationally superior having multiplier free weight update loops are used for cancelation …
computationally superior having multiplier free weight update loops are used for cancelation …
A novel ECG data compression method using adaptive fourier decomposition with security guarantee in e-health applications
This paper presents a novel electrocardiogram (ECG) compression method for e-health
applications by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with …
applications by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with …