Existing biomedical wavelet based applications exceed the computational, memory and consumption resources of low-complexity embedded systems. In order to make such systems capable to use wavelet transforms, optimization and implementation techniques are proposed. The Real Time QRS Detector and “De-noising” Filter are developed and implemented in 16-bit fixed point microcontroller achieving 800 Hz sampling rate, occupation of less than 500 bytes of data memory, 99.06% detection accuracy, and 1 mW power consumption.
- wavelet transform
Stojanovic, R., Knezevic, S., Karadaglic, D., & Devedzic, G. (2013). Optimization and implementation of the wavelet based algorithms for embedded biomedical signal processing. Computer Science and Information Systems, 10(1), 502-523. https://doi.org/10.2298/CSIS120517013S