Tamer Eltaras's research while affiliated with Qatar University and other places

Publications (2)

Article
Full-text available
Using artificial intelligence and machine learning techniques in healthcare applications has been actively researched over the last few years. It holds promising opportunities as it is used to track human activities and vital signs using wearable devices and assist in diseases’ diagnosis, and it can play a great role in elderly care and patient’s h...
Article
Full-text available
With the ongoing advances in sensor technology and miniaturization of electronic chips, more applications are researched and developed for wearable devices. Hydration monitoring is among the problems that have been recently researched. Athletes, battlefield soldiers, workers in extreme weather conditions, people with adipsia who have no sensation o...

Citations

... Moreover, 17 works combine the involvement of MRI data coupling with AI modeling as a means of facilitating dementia and AD diagnosis [45][46][47][48][49][50][51]. Furthermore, electroencephalogram (EEG) sensors and clinical data can predict the risk of other dementia types, such as MCI, PD, and frontotemporal [52][53][54][55][56][57][58]. On other hand, it has been observed that nine studies appeared from the USA, which was followed by the UK (3), India (3), and Canada (2). ...
... Three others present the evaluation of technologies that enable ambulatory electrocardiogram (ECG) monitoring [11][12][13] for capturing atrial fibrillation and general arrhythmias, and even with three-lead ECG [13], providing the data necessary to inform treatment for these conditions. New machine-learning-based methods are introduced for hydration monitoring [14] from multiple wearable sensing modalities and estimating continuous blood pressure from photoplethysmography data [15]. Two additional papers also address challenges inherent to deploying wearables in the wild. ...