EURASIP Journal on Advances in Signal Processing

Table 2 Performance of the proposed method for recovery of dual-axis swallowing accleremetry signals when considering 30% 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 (%)	89.5 ± 7.17	92.5 ± 6.60	84.5 ± 11.3	87.8 ± 11.3	84.3 ± 13.7	94.4 ± 7.35
PRD (%)	43.9 ± 14.9	36.5 ± 15.7	53.3 ± 20.2	46.2 ± 22.5	52.4 ± 26.1	30.0 ± 17.4
RMSE	0.07 ± 0.04	0.10 ± 0.06	0.09 ± 0.04	0.15 ± 0.09	0.17 ± 0.11	0.23 ± 0.13
MAXERR	0.55 ± 0.53	0.88 ± 0.73	0.72 ± 0.62	1.35 ± 1.18	1.93 ± 1.60	2.38 ± 1.96

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