Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387497685> ?p ?o ?g. }
- W4387497685 endingPage "102683" @default.
- W4387497685 startingPage "102683" @default.
- W4387497685 abstract "The central arterial pressure (CAP) is an important physiological indicator of the human cardiovascular system which represents one of the greatest threats to human health. Accurate non-invasive detection and reconstruction of CAP waveforms are crucial for the reliable treatment of cardiovascular system diseases. However, the traditional methods are reconstructed with paratively low accuracy, and some deep learning neural network models also have difficulty in extracting features, as a result, these methods have potential for further advancement. In this study, we proposed a novel model (CBi-SAN) to implement an end-to-end relationship from radial artery pressure (RAP) waveform to CAP waveform, which consisted of the convolutional neural network (CNN), the bidirectional long-short-time memory network (BiLSTM), and the self-attention mechanism to improve the performance of CAP reconstruction. The data on invasive measurements of CAP and RAP waveform were used in 62 patients before and after medication to develop and validate the performance of CBi-SAN model for reconstructing CAP waveform. We compared it with traditional methods and deep learning models in mean absolute error (MAE), root mean square error (RMSE), and Spearman correlation coefficient (SCC). Study results indicated the CBi-SAN model performed great performance on CAP waveform reconstruction (MAE: 2.23 ± 0.11 mmHg, RMSE: 2.21 ± 0.07 mmHg), concurrently, the best reconstruction effect was obtained in the central artery systolic pressure (CASP) and the central artery diastolic pressure(CADP) (RMSECASP: 2.94 ± 0.48 mmHg, RMSECADP: 1.96 ± 0.06 mmHg). These results implyed the performance of the CAP reconstruction based on CBi-SAN model was superior to the existing methods, hopped to be effectively applied to clinical practice in the future." @default.
- W4387497685 created "2023-10-11" @default.
- W4387497685 creator A5021956079 @default.
- W4387497685 creator A5022256556 @default.
- W4387497685 creator A5040009629 @default.
- W4387497685 creator A5044195019 @default.
- W4387497685 creator A5044490010 @default.
- W4387497685 creator A5066439685 @default.
- W4387497685 creator A5084904295 @default.
- W4387497685 date "2023-11-01" @default.
- W4387497685 modified "2023-10-15" @default.
- W4387497685 title "Reconstruction of central arterial pressure waveform based on CBi-SAN network from radial pressure waveform" @default.
- W4387497685 cites W1573926077 @default.
- W4387497685 cites W1964160222 @default.
- W4387497685 cites W1980816104 @default.
- W4387497685 cites W1980861981 @default.
- W4387497685 cites W2028931862 @default.
- W4387497685 cites W2059861059 @default.
- W4387497685 cites W2067833505 @default.
- W4387497685 cites W2076694943 @default.
- W4387497685 cites W2082047403 @default.
- W4387497685 cites W2093866254 @default.
- W4387497685 cites W2095082252 @default.
- W4387497685 cites W2096998744 @default.
- W4387497685 cites W2103834885 @default.
- W4387497685 cites W2105944519 @default.
- W4387497685 cites W2121881071 @default.
- W4387497685 cites W2135326848 @default.
- W4387497685 cites W2150390872 @default.
- W4387497685 cites W2253429366 @default.
- W4387497685 cites W2407467502 @default.
- W4387497685 cites W2473019555 @default.
- W4387497685 cites W2522271929 @default.
- W4387497685 cites W2539512107 @default.
- W4387497685 cites W2549756051 @default.
- W4387497685 cites W2592983175 @default.
- W4387497685 cites W2620624964 @default.
- W4387497685 cites W2774336996 @default.
- W4387497685 cites W2885195348 @default.
- W4387497685 cites W2889838428 @default.
- W4387497685 cites W2904099490 @default.
- W4387497685 cites W2904867779 @default.
- W4387497685 cites W2905872298 @default.
- W4387497685 cites W2906311950 @default.
- W4387497685 cites W2922099123 @default.
- W4387497685 cites W2948044158 @default.
- W4387497685 cites W2959082469 @default.
- W4387497685 cites W2973886134 @default.
- W4387497685 cites W2995889897 @default.
- W4387497685 cites W2995975901 @default.
- W4387497685 cites W3006649679 @default.
- W4387497685 cites W3016405830 @default.
- W4387497685 cites W3016504312 @default.
- W4387497685 cites W3037304592 @default.
- W4387497685 cites W3090240709 @default.
- W4387497685 cites W3090602117 @default.
- W4387497685 cites W3092449051 @default.
- W4387497685 cites W3096823020 @default.
- W4387497685 cites W3138603577 @default.
- W4387497685 cites W3146366485 @default.
- W4387497685 cites W3150334893 @default.
- W4387497685 cites W3162076583 @default.
- W4387497685 cites W3164150255 @default.
- W4387497685 cites W3192502370 @default.
- W4387497685 cites W4210771347 @default.
- W4387497685 doi "https://doi.org/10.1016/j.artmed.2023.102683" @default.
- W4387497685 hasPublicationYear "2023" @default.
- W4387497685 type Work @default.
- W4387497685 citedByCount "0" @default.
- W4387497685 crossrefType "journal-article" @default.
- W4387497685 hasAuthorship W4387497685A5021956079 @default.
- W4387497685 hasAuthorship W4387497685A5022256556 @default.
- W4387497685 hasAuthorship W4387497685A5040009629 @default.
- W4387497685 hasAuthorship W4387497685A5044195019 @default.
- W4387497685 hasAuthorship W4387497685A5044490010 @default.
- W4387497685 hasAuthorship W4387497685A5066439685 @default.
- W4387497685 hasAuthorship W4387497685A5084904295 @default.
- W4387497685 hasConcept C105795698 @default.
- W4387497685 hasConcept C108583219 @default.
- W4387497685 hasConcept C119857082 @default.
- W4387497685 hasConcept C126322002 @default.
- W4387497685 hasConcept C139945424 @default.
- W4387497685 hasConcept C153180895 @default.
- W4387497685 hasConcept C154945302 @default.
- W4387497685 hasConcept C164705383 @default.
- W4387497685 hasConcept C197424946 @default.
- W4387497685 hasConcept C2776820930 @default.
- W4387497685 hasConcept C2778218979 @default.
- W4387497685 hasConcept C2780092901 @default.
- W4387497685 hasConcept C33923547 @default.
- W4387497685 hasConcept C41008148 @default.
- W4387497685 hasConcept C50644808 @default.
- W4387497685 hasConcept C554190296 @default.
- W4387497685 hasConcept C71924100 @default.
- W4387497685 hasConcept C76155785 @default.
- W4387497685 hasConcept C81363708 @default.
- W4387497685 hasConcept C84393581 @default.
- W4387497685 hasConceptScore W4387497685C105795698 @default.