Description Compressive Sensing in Healthcare,part of theAdvances in Ubiquitous Sensing Applications for Healthcareseries gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book...
And 53% of reduction in the samples was obtained throughout the proposed system. Thus, an ensuring on-cloud healthcare clinic has been developed for healthcare industry.doi:10.1016/B978-0-12-821247-9.00013-5K. KeerthanaS. Aasha NandhiniS. RadhaCompressive Sensing in Healthcare...
Based on the fact that these signals can be approximated by a linear combination of a few coefficients taken from different basis, an alternative new compression scheme based on Compressive Sensing (CS) has been proposed. CS provides a new approach concerned with signal compression and recovery by...
A computer-implemented method for performing compressive sensing of light transport matrix includes receiving a 3D dataset comprising image volume data and randomly selecting a plur
A dynamic compression system for improving ulcer healing: Design of a sensing garment Venous leg ulcers remain a major problem in the United States, with spending reaching upwards of $1 billion annually. Current treatment options center arou... M Hegarty,E Grant,L Reid,... - IEEE Internationa...
Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature...
There are 2 main constraints in designing a WBAN-based EEG monitoring system for seizure detection. The 1st constraint is the limit on energy consumed in EEG sensing and energy consumed in the compression and transmission of the acquired signals. Energy can be conserved by applying compressed sensi...
The proposed architecture is a custom version of Inflated 3D (I3D) architecture, that takes compressed measurements of video sequence as spatio-temporal input, obtained from compressive sensing framework, rather than video sequence as input, as in the case of I3D convolutional neural network. This...
doi:10.1016/B978-0-12-821247-9.00009-3Ayan BanerjeeSandeep K.S. GuptaCompressive Sensing in Healthcare
Apart from the noise mitigation in this technique, the given MATLAB codes explains the details.doi:10.1016/B978-0-12-821247-9.00012-3Mahdi Khosravy aNaoko Nitta aFaramarz Asharif bKatia Melo cCarlos A. Duque cCompressive Sensing in Healthcare...