Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements

In this paper, the objective is to classify biomedical signals from their compressive measurements. The problem arises when compressed sensing (CS) is used for energy efficient acquisition and transmission of such signals for wireless body area network. After reconstruction, the signal is analyzed v...

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Bibliographic Details
Main Authors: Vanika Singhal, Angshul Majumdar, Rabab K. Ward
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
EEG
Online Access:https://ieeexplore.ieee.org/document/8219376/