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Found 5 papers, 2 papers with code
A comparison of three heart rate detection algorithms over ballistocardiogram signals
As a result, the average time required to analyze a 30-second BCG signal was less than one second for all methods.
Ballistocardiogram Signal Processing: A Literature Review
At last, the objective of wavelet-domain algorithms is to decompose the signal into different components, hence the component which shows an agreement with the vital signs can be selected i. e., the selected component contains only information about the heart cycles or respiratory cycles, respectively.
Automatic Classification of Bright Retinal Lesions via Deep Network Features
The diabetic retinopathy is timely diagonalized through color eye fundus images by experienced ophthalmologists, in order to recognize potential retinal features and identify early-blindness cases.
Automated Breast Lesion Segmentation in Ultrasound Images
The main objective of this project is to segment different breast ultrasound images to find out lesion area by discarding the low contrast regions as well as the inherent speckle noise.
Automatic Discrimination of Color Retinal Images using the Bag of Words Approach
In this research, we investigative the role of bag of words approach in the automatic diagnosis of retinopathy diabetes.
