The human body keeps blood glucose levels within safe limits naturally. However, this is not the case for persons with
Category: Digital Health
Deep-learning-based techniques for Alzheimer’s disease diagnosis in MRI images
Alzheimer’s disease (AD) is a neurological disease that often results in dementia. AD causes patients to experience severe cognitive decline,
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 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 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