Detection of abnormal behavior in narrow scene with perspective distortion
Sign Up to like & getrecommendations! Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0970-7
Abstract: Automatically and efficiently detecting abnormal events that occur in dynamic surveillance video is one of the important tasks in real-time video streaming analysis. However, in some typical application scenarios with narrow areas, the perspective distortion… read more here.
Keywords: perspective distortion; distortion; abnormal behavior; detection abnormal ... See more keywords
WEARABLE TECHNOLOGY AND ITS ROLE IN DETECTION OF ABNORMAL HEART RHYTHMS
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(20)33005-9
Abstract: Over 5500 patients were screened using the Apple watch series 4 EKG app during free annual medical camps in rural India in collaboration with a local university hospital and nursing school. We present a case… read more here.
Keywords: abnormal heart; technology role; heart rhythms; wearable technology ... See more keywords
Automatic detection of abnormal EEG signals using multiscale features with ensemble learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.943258
Abstract: Electroencephalogram (EEG) is an economical and convenient auxiliary test to aid in the diagnosis and analysis of brain-related neurological diseases. In recent years, machine learning has shown great potential in clinical EEG abnormality detection. However,… read more here.
Keywords: abnormal eeg; ensemble learning; automatic detection; detection abnormal ... See more keywords