Matches in SemOpenAlex for { <https://semopenalex.org/work/W2919302119> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2919302119 endingPage "31585" @default.
- W2919302119 startingPage "31573" @default.
- W2919302119 abstract "To reduce the influence of both the baseline wander (BW) and noise in the electrocardiogram (ECG) is much important for further analysis and diagnosis of heart disease. This paper presents a convex optimization method, which combines linear time-invariant filtering with sparsity for the BW correction and denoising of ECG signals. The BW signals are modeled as low-pass signals, while the ECG signals are modeled as a sequence of sparse signals and have sparse derivatives. To illustrate the positive of the ECG peaks, an asymmetric function and a symmetric function are used to punish the original ECG signals and their difference signals, respectively. The banded matrix is used to represent the optimization problem, in order to make the iterative optimization method more computationally efficient, take up the less memory, and apply to the longer data sequence. Moreover, an iterative majorization-minization algorithm is employed to guarantee the convergence of the proposed method regardless of its initialization. The proposed method is evaluated based on the ECG signals from the database of MIT-BIH Arrhythmia. The simulation results show the advantages of the proposed method compared with wavelet and median filter." @default.
- W2919302119 created "2019-03-11" @default.
- W2919302119 creator A5019839008 @default.
- W2919302119 creator A5028977056 @default.
- W2919302119 creator A5044470103 @default.
- W2919302119 creator A5050790437 @default.
- W2919302119 creator A5058696702 @default.
- W2919302119 date "2019-01-01" @default.
- W2919302119 modified "2023-10-12" @default.
- W2919302119 title "ECG Baseline Wander Correction and Denoising Based on Sparsity" @default.
- W2919302119 cites W1969998789 @default.
- W2919302119 cites W1971999005 @default.
- W2919302119 cites W1975377467 @default.
- W2919302119 cites W2000594266 @default.
- W2919302119 cites W2015242484 @default.
- W2919302119 cites W2015458895 @default.
- W2919302119 cites W2033585489 @default.
- W2919302119 cites W2038141657 @default.
- W2919302119 cites W2047163846 @default.
- W2919302119 cites W2051764309 @default.
- W2919302119 cites W2060094658 @default.
- W2919302119 cites W2095409369 @default.
- W2919302119 cites W2098012923 @default.
- W2919302119 cites W2099321050 @default.
- W2919302119 cites W2103559027 @default.
- W2919302119 cites W2122661899 @default.
- W2919302119 cites W2122950831 @default.
- W2919302119 cites W2133032394 @default.
- W2919302119 cites W2147656689 @default.
- W2919302119 cites W2149414429 @default.
- W2919302119 cites W2162216553 @default.
- W2919302119 cites W2169721303 @default.
- W2919302119 cites W2184854001 @default.
- W2919302119 cites W2218975416 @default.
- W2919302119 cites W2336675008 @default.
- W2919302119 cites W23945807 @default.
- W2919302119 cites W2620850570 @default.
- W2919302119 cites W2697185859 @default.
- W2919302119 cites W2728659140 @default.
- W2919302119 cites W2768497671 @default.
- W2919302119 cites W2802434299 @default.
- W2919302119 cites W2963676935 @default.
- W2919302119 cites W3098466966 @default.
- W2919302119 cites W4243640018 @default.
- W2919302119 cites W4250955649 @default.
- W2919302119 cites W4292363360 @default.
- W2919302119 doi "https://doi.org/10.1109/access.2019.2902616" @default.
- W2919302119 hasPublicationYear "2019" @default.
- W2919302119 type Work @default.
- W2919302119 sameAs 2919302119 @default.
- W2919302119 citedByCount "25" @default.
- W2919302119 countsByYear W29193021192020 @default.
- W2919302119 countsByYear W29193021192021 @default.
- W2919302119 countsByYear W29193021192022 @default.
- W2919302119 countsByYear W29193021192023 @default.
- W2919302119 crossrefType "journal-article" @default.
- W2919302119 hasAuthorship W2919302119A5019839008 @default.
- W2919302119 hasAuthorship W2919302119A5028977056 @default.
- W2919302119 hasAuthorship W2919302119A5044470103 @default.
- W2919302119 hasAuthorship W2919302119A5050790437 @default.
- W2919302119 hasAuthorship W2919302119A5058696702 @default.
- W2919302119 hasBestOaLocation W29193021191 @default.
- W2919302119 hasConcept C111368507 @default.
- W2919302119 hasConcept C12725497 @default.
- W2919302119 hasConcept C127313418 @default.
- W2919302119 hasConcept C153180895 @default.
- W2919302119 hasConcept C154945302 @default.
- W2919302119 hasConcept C163294075 @default.
- W2919302119 hasConcept C41008148 @default.
- W2919302119 hasConceptScore W2919302119C111368507 @default.
- W2919302119 hasConceptScore W2919302119C12725497 @default.
- W2919302119 hasConceptScore W2919302119C127313418 @default.
- W2919302119 hasConceptScore W2919302119C153180895 @default.
- W2919302119 hasConceptScore W2919302119C154945302 @default.
- W2919302119 hasConceptScore W2919302119C163294075 @default.
- W2919302119 hasConceptScore W2919302119C41008148 @default.
- W2919302119 hasFunder F4320321001 @default.
- W2919302119 hasFunder F4320324174 @default.
- W2919302119 hasLocation W29193021191 @default.
- W2919302119 hasOpenAccess W2919302119 @default.
- W2919302119 hasPrimaryLocation W29193021191 @default.
- W2919302119 hasRelatedWork W1978450727 @default.
- W2919302119 hasRelatedWork W2033914206 @default.
- W2919302119 hasRelatedWork W2146076056 @default.
- W2919302119 hasRelatedWork W2147291813 @default.
- W2919302119 hasRelatedWork W2163831990 @default.
- W2919302119 hasRelatedWork W2378160586 @default.
- W2919302119 hasRelatedWork W3003836766 @default.
- W2919302119 hasRelatedWork W4244943737 @default.
- W2919302119 hasRelatedWork W2092619848 @default.
- W2919302119 hasRelatedWork W2289108895 @default.
- W2919302119 hasVolume "7" @default.
- W2919302119 isParatext "false" @default.
- W2919302119 isRetracted "false" @default.
- W2919302119 magId "2919302119" @default.
- W2919302119 workType "article" @default.