Extensions of compressed sensing
Signal Processing - Sparse approximations in signal and image processing
Automatic identification of cardiac health using modeling techniques: A comparative study
Information Sciences: an International Journal
Compressive sampling of pulse trains: Spread the spectrum!
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
CMOS compressed imaging by Random Convolution
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
IEEE Transactions on Information Theory
Compressed Sensing and Redundant Dictionaries
IEEE Transactions on Information Theory
Automated identification of normal and diabetes heart rate signals using nonlinear measures
Computers in Biology and Medicine
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For the first time compressed sampling (CS) has been applied to heart rate (HR) measurements. The signals can be reconstructed from samples far below the Nyquist rate with negligible small errors, a sampling reduction of 8 has been demonstrated in the paper. As a result, the bitrate of the CS sampler is half when compared to a normal sampler. A lower bitrate leads to a reduction in power consumption for HR measurement devices.