186 related articles for article (PubMed ID: 34854319)
1. Real-Time Arrhythmia Detection Using Hybrid Convolutional Neural Networks.
Bollepalli SC; Sevakula RK; Au-Yeung WM; Kassab MB; Merchant FM; Bazoukis G; Boyer R; Isselbacher EM; Armoundas AA
J Am Heart Assoc; 2021 Dec; 10(23):e023222. PubMed ID: 34854319
[TBL] [Abstract][Full Text] [Related]
2. Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks.
Mousavi S; Fotoohinasab A; Afghah F
PLoS One; 2020; 15(1):e0226990. PubMed ID: 31923226
[TBL] [Abstract][Full Text] [Related]
3. Real-time arrhythmia detection with supplementary ECG quality and pulse wave monitoring for the reduction of false alarms in ICUs.
Krasteva V; Jekova I; Leber R; Schmid R; Abächerli R
Physiol Meas; 2016 Aug; 37(8):1273-97. PubMed ID: 27454550
[TBL] [Abstract][Full Text] [Related]
4. Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform.
Aboukhalil A; Nielsen L; Saeed M; Mark RG; Clifford GD
J Biomed Inform; 2008 Jun; 41(3):442-51. PubMed ID: 18440873
[TBL] [Abstract][Full Text] [Related]
5. A contrastive learning approach for ICU false arrhythmia alarm reduction.
Zhou Y; Zhao G; Li J; Sun G; Qian X; Moody B; Mark RG; Lehman LH
Sci Rep; 2022 Mar; 12(1):4689. PubMed ID: 35304473
[TBL] [Abstract][Full Text] [Related]
6. A novel algorithm for reducing false arrhythmia alarms in intensive care units.
Srivastava C; Sharma S; Jalali A
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():2525-2528. PubMed ID: 28268837
[TBL] [Abstract][Full Text] [Related]
7. Taming of the monitors: reducing false alarms in intensive care units.
Plesinger F; Klimes P; Halamek J; Jurak P
Physiol Meas; 2016 Aug; 37(8):1313-25. PubMed ID: 27454821
[TBL] [Abstract][Full Text] [Related]
8. Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram.
Li Z; Zhou D; Wan L; Li J; Mou W
J Electrocardiol; 2020; 58():105-112. PubMed ID: 31812617
[TBL] [Abstract][Full Text] [Related]
9. A practical algorithm to reduce false critical ECG alarms using arterial blood pressure and/or photoplethysmogram waveforms.
Zong W; Nielsen L; Gross B; Brea J; Frassica J
Physiol Meas; 2016 Aug; 37(8):1355-69. PubMed ID: 27455375
[TBL] [Abstract][Full Text] [Related]
10. Decision Tree Predictive Learner-Based Approach for False Alarm Detection in ICU.
Manna T; Swetapadma A; Abdar M
J Med Syst; 2019 May; 43(7):191. PubMed ID: 31115734
[TBL] [Abstract][Full Text] [Related]
11. Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients.
Drew BJ; Harris P; Zègre-Hemsey JK; Mammone T; Schindler D; Salas-Boni R; Bai Y; Tinoco A; Ding Q; Hu X
PLoS One; 2014; 9(10):e110274. PubMed ID: 25338067
[TBL] [Abstract][Full Text] [Related]
12. Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network.
Atal DK; Singh M
Comput Methods Programs Biomed; 2020 Nov; 196():105607. PubMed ID: 32593973
[TBL] [Abstract][Full Text] [Related]
13. False arrhythmia alarms reduction in the intensive care unit: a multimodal approach.
Fallet S; Yazdani S; Vesin JM
Physiol Meas; 2016 Aug; 37(8):1217-32. PubMed ID: 27454171
[TBL] [Abstract][Full Text] [Related]
14. Stress detection using deep neural networks.
Li R; Liu Z
BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 11):285. PubMed ID: 33380334
[TBL] [Abstract][Full Text] [Related]
15. Life-threatening false alarm rejection in ICU: using the rule-based and multi-channel information fusion method.
Liu C; Zhao L; Tang H; Li Q; Wei S; Li J
Physiol Meas; 2016 Aug; 37(8):1298-312. PubMed ID: 27454710
[TBL] [Abstract][Full Text] [Related]
16. Reducing false arrhythmia alarms in the ICU using multimodal signals and robust QRS detection.
Sadr N; Huvanandana J; Nguyen DT; Kalra C; McEwan A; de Chazal P
Physiol Meas; 2016 Aug; 37(8):1340-54. PubMed ID: 27455121
[TBL] [Abstract][Full Text] [Related]
17. ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network.
Zhang J; Liu A; Gao M; Chen X; Zhang X; Chen X
Artif Intell Med; 2020 Jun; 106():101856. PubMed ID: 32593390
[TBL] [Abstract][Full Text] [Related]
18. An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification.
Wang H; Shi H; Chen X; Zhao L; Huang Y; Liu C
J Med Syst; 2019 Dec; 44(2):35. PubMed ID: 31853698
[TBL] [Abstract][Full Text] [Related]
19. Arrhythmia detection using deep convolutional neural network with long duration ECG signals.
Yıldırım Ö; Pławiak P; Tan RS; Acharya UR
Comput Biol Med; 2018 Nov; 102():411-420. PubMed ID: 30245122
[TBL] [Abstract][Full Text] [Related]
20. Real-time machine learning-based intensive care unit alarm classification without prior knowledge of the underlying rhythm.
Au-Yeung WM; Sevakula RK; Sahani AK; Kassab M; Boyer R; Isselbacher EM; Armoundas AA
Eur Heart J Digit Health; 2021 Sep; 2(3):437-445. PubMed ID: 34604758
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
