Abstract
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.
Original language | English |
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Pages (from-to) | 502-523 |
Number of pages | 22 |
Journal | Computer Science and Information Systems |
Volume | 10 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2013 |
Keywords
- wavelet transform
- microcontroller
- QRS
- denoising