The integration of AI vision-based sensing and human motion analysis has grown to be a key element of intelligent perception systems, which now allow for automated interpretation of human movement, activity patterns, and complex visual behaviors. However, accurate functional movement assessment from monocular aerial an...
Cardiovascular disease diagnosis requires accurate and timely analysis of electrocardiogram (ECG) signals to support reliable clinical decision-making. However, ECG signals are inherently non-stationary, exhibit substantial inter-patient variability, and may share similar morphological patterns across different cardiac...
Mohammed Alnusayri, Sara Mumtaz, Bader Aldughayfiq et al.· Bioengineering· 0 citations
Sleep staging and obstructive sleep apnea (OSA) detection are central to sleep medicine, yet remain con-strained by the complexity of full polysomnography (PSG) and the subjectivity of manual scoring. We present SomniTrack, a multimodal framework that integrates EEG and ECG to automate sleep assessment without relyin...
Background/Objectives: Melanoma is a life-threatening skin cancer characterized by aggressive progression and high metastatic potential, making early diagnosis essential for improving patient survival and treatment outcomes. However, accurate automated skin lesion classification remains challenging due to variations in...
Background/Objectives: Lung cancer is still one of the top cancer mortality causes around the world, and there is a need for an accurate and clinically reliable diagnostic tool. While Computed Tomography (CT) imaging is very useful for evaluation of pulmonary nodules and tumor morphology, its interpretation is complica...
Mohammad Shorfuzzaman, Abdullah Iftikhar, Shaheryar Najam et al.· Diagnostics· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
