EURASIP Journal on Advances in Signal Processing

Table 4 Performance of the proposed method for recovery of dual-axis swallowing accleremetry signals when considering 50% of samples and a non-uniform sampling scheme

From: Compressive sampling of swallowing accelerometry signals using time-frequency dictionaries based on modulated discrete prolate spheroidal sequences

	Dry swallows		Wet swallows		WCD swallows
Metric	A-P	S-I	A-P	S-I	A-P	S-I
CC (%)	95.8 ± 4.44	96.4 ± 4.23	92.2 ± 8.77	93.2 ± 8.30	90.4 ± 10.6	97.1 ± 5.23
PRD (%)	26.4 ± 11.6	23.8 ± 12.4	35.4 ± 17.4	32.1 ± 18.2	38.4 ± 21.6	19.7 ± 14.1
RMSE	0.04 ± 0.03	0.07 ± 0.04	0.06 ± 0.04	0.11 ± 0.07	0.12 ± 0.08	0.14 ± 0.09
MAXERR	0.38 ± 0.37	0.69 ± 0.64	0.55 ± 0.54	1.08 ± 0.93	1.53 ± 1.22	1.69 ± 1.42

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