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. 2018 Jun 23;18(7):2021. doi: 10.3390/s18072021

Table 2.

The details of recovery CPU Time of practical wearable ECG datasets (CR = 60%). These results show that the proposed BSBL-ADMM algorithm is robust for the recovery speed for different ECG recordings.

Rec1 Rec2 Rec3 Rec4 Rec5 Rec6 Rec7 Rec8 Mean (±Std)
BSBL-ADMM 0.0639 0.0635 0.0631 0.0625 0.0625 0.0624 0.0624 0.0628 0.0629 (±0.0006)
BSBL-BO [25] 0.2359 0.2361 0.2353 0.2352 0.2355 0.2350 0.2350 0.2358 0.2355 (±0.0004)
BSBL-L1 [25] 0.0294 0.0293 0.0291 0.0290 0.0291 0.0291 0.0290 0.0291 0.0292 (±0.0001)
BSBL-FM [27] 0.1605 0.2085 0.2868 0.2541 0.2170 0.2038 0.2826 0.2590 0.2340 (±0.0044)
AIHT [19] 0.0458 0.0377 0.0372 0.0444 0.0425 0.0459 0.0407 0.0414 0.0419 (±0.0034)