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Variations in physical properties of broadcast Frequency Identification (RFID) signals can help wirelessly identify physiological processes and says. But, its typical for background sound artifacts to appear in the RFID signal rendering it difficult to identify physiological procedures. This paper introduces a fresh technique for finding these repetitive physiological signals and determining all of them into two states, active and inactive, using k-means clustering. The algorithm detects these
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