Key result
The proposed high-speed continuous wavelet transform processor reduced processing time by 48.4-fold compared to MATLAB software and by 73.3% compared to previous FPGA-based implementations.
Comparison
Proposed CWT processor vs MATLAB software with Intel i7 CPU and previous FPGA-based implementations
Design
Experimental hardware implementation and validation study
Authors
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May enable real-time radar-based vital sign monitoring; leaves open clinical validation in cardiovascular settings.
Effect estimate: 73.3% reduction
A novel FPGA-based CWT processor significantly accelerates the processing time for vital signal measurement using FMCW radar compared to software and previous hardware implementations.
Bae et al. (2022) studied Vital signal measurement. High-speed continuous wavelet transform (CWT) processor vs. MATLAB software with Intel i7 CPU and previous FPGA-based implementations was evaluated on Processing time (73.3% reduction). The proposed high-speed continuous wavelet transform processor reduced processing time by 48.4-fold compared to MATLAB software and by 73.3% compared to previous FPGA-based implementations.
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