Sparse representation and compressed sensing in seismocardiogram (SCG) systems
This invention provides an efficient framework to represent, acquire, and recover signals in seismocardiogram (SCG) systems, based on the theory of compressed sensing. The target market applications include mainly the health care industry, with possible extensions to security and biometric systems. Currently, the competing technology is the electrocardiogram (ECG). However, the SCG has been shown to provide a wider range of disease detection capabilities compared to the ECG.