Abstract
AbstractThis work studies wave detection and lossless data compression of an ECG signal using adaptive slope prediction thresholding and a biorthogonal 3.1 wavelet transform-based filter bank realized using linear phase array structure and achieved an SNR of −53.92 dB. It is found that the combination of ECG signal detection and lossless ECG data compression reduces the false wave detection and increases the ECG data compression ratio, thus facilitating a speedy transmission and efficient bandwidth utilization. The proposed ECG detector realized using an FPGA showed significant improvements in power consumption, area, delay, and switching energy. The proposed methodology can be further extended to analyze various biomedical signals.KeywordsECG signalWavelet transformWavelet filter bankQRS-complex detectionBiorthogonal wavelet transform based lossless data compression technique
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