Stroke remains one of the major causes for most linguistic and functional disabilities, but this condition is not the only
Category: Digital Health
Decoding sensors data using machine learning algorithms to detect an individual’s stress levels
Effectively detecting whether an individual might be stressed could greatly improve a person’s well-being. This would enable us to become
A Machine Learning Approach to Predict Epileptic Seizures from EEG Data
In light of the recent progress in machine learning (ML) and artificial intelligence (AI), researchers aim to apply techniques for
NutriPeer: Design and implementation to help reduce nutrient misconsumption
Most of the persons who download a health-related mobile application tend to use such applications for a few months at
A study on the effectiveness, robustness and safety of smart wheelchairs in well-defined spaces
Transportation of people and objects in indoor areas requires several costly resources. Different environments such as a warehouse, workplace, or
Detection and classification of brain haemorrhage
A brain haemorrhage is a rupture of the blood vessels within the brain, and is very often life-threatening [1]. Brain
Enhancing an existing patient dashboard with the use of internet of things
The internet of things (IoT) has become increasingly popular within the healthcare sector as it could help resolve various issues
Data Visualisation using BI for Digital Health
The demand for outpatient services is constantly on the increase. Catering for a high volume of patients inevitably causes the
A Handwriting Application to Improve Fine Motor Skills
Education is one of the fundamental aspects of children’s development, therefore, it is vital that the techniques being implemented, and