These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
174 related articles for article (PubMed ID: 39000979)
21. An Energy-Efficient Algorithm for Wearable Electrocardiogram Signal Processing in Ubiquitous Healthcare Applications. Sodhro AH; Sangaiah AK; Sodhro GH; Lohano S; Pirbhulal S Sensors (Basel); 2018 Mar; 18(3):. PubMed ID: 29558433 [TBL] [Abstract][Full Text] [Related]
22. Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks. Çınar A; Tuncer SA Comput Methods Biomech Biomed Engin; 2021 Feb; 24(2):203-214. PubMed ID: 32955928 [TBL] [Abstract][Full Text] [Related]
23. A low-power and miniaturized electrocardiograph data collection system with smart textile electrodes for monitoring of cardiac function. Dai M; Xiao X; Chen X; Lin H; Wu W; Chen S Australas Phys Eng Sci Med; 2016 Dec; 39(4):1029-1040. PubMed ID: 27743384 [TBL] [Abstract][Full Text] [Related]
24. Classification of Sleep Apnea Severity by Electrocardiogram Monitoring Using a Novel Wearable Device. Baty F; Boesch M; Widmer S; Annaheim S; Fontana P; Camenzind M; Rossi RM; Schoch OD; Brutsche MH Sensors (Basel); 2020 Jan; 20(1):. PubMed ID: 31947905 [TBL] [Abstract][Full Text] [Related]
25. ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. Gao H; Wang X; Chen Z; Wu M; Li J; Liu C IEEE J Biomed Health Inform; 2023 Nov; 27(11):5225-5236. PubMed ID: 37713232 [TBL] [Abstract][Full Text] [Related]
26. Application of Convolutional Neural Network for Decoding of 12-Lead Electrocardiogram from a Frequency-Modulated Audio Stream (Sonified ECG). Krasteva V; Iliev I; Tabakov S Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544146 [TBL] [Abstract][Full Text] [Related]
27. A signal quality assessment-based ECG waveform delineation method used for wearable monitoring systems. Xie J; Peng L; Wei L; Gong Y; Zuo F; Wang J; Yin C; Li Y Med Biol Eng Comput; 2021 Oct; 59(10):2073-2084. PubMed ID: 34432182 [TBL] [Abstract][Full Text] [Related]
28. Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances. Lyon A; Mincholé A; Martínez JP; Laguna P; Rodriguez B J R Soc Interface; 2018 Jan; 15(138):. PubMed ID: 29321268 [TBL] [Abstract][Full Text] [Related]
29. Personalized seizure detection using logistic regression machine learning based on wearable ECG-monitoring device. Jeppesen J; Christensen J; Johansen P; Beniczky S Seizure; 2023 Apr; 107():155-161. PubMed ID: 37068328 [TBL] [Abstract][Full Text] [Related]
30. Wearable Ring-Shaped Biomedical Device for Physiological Monitoring through Finger-Based Acquisition of Electrocardiographic, Photoplethysmographic, and Galvanic Skin Response Signals: Design and Preliminary Measurements. Volpes G; Valenti S; Genova G; Barà C; Parisi A; Faes L; Busacca A; Pernice R Biosensors (Basel); 2024 Apr; 14(4):. PubMed ID: 38667198 [TBL] [Abstract][Full Text] [Related]
31. IoT-Based Heartbeat Rate-Monitoring Device Powered by Harvested Kinetic Energy. Nekui OD; Wang W; Liu C; Wang Z; Ding B Sensors (Basel); 2024 Jun; 24(13):. PubMed ID: 39001027 [TBL] [Abstract][Full Text] [Related]
32. Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network. Ghosh SK; Tripathy RK; Paternina MRA; Arrieta JJ; Zamora-Mendez A; Naik GR J Med Syst; 2020 May; 44(6):114. PubMed ID: 32388733 [TBL] [Abstract][Full Text] [Related]
34. Research on fatigue identification methods based on low-load wearable ECG monitoring devices. Wang H; Han M; Avouka T; Chen R; Wang J; Wei R Rev Sci Instrum; 2023 Apr; 94(4):. PubMed ID: 38081271 [TBL] [Abstract][Full Text] [Related]
35. Classification of Continuous ECG Segments - Performance Analysis of a Deep Learning Model. Barbosa LCN; Lopes D; Escrivaes I; Moreira AHJ; Carvalho V; Vilaca JL; Morais P Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082961 [TBL] [Abstract][Full Text] [Related]
36. An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning. Mao R; Li S; Zhang Z; Xia Z; Xiao J; Zhu Z; Liu J; Shan W; Chang L; Zhou J IEEE Trans Biomed Circuits Syst; 2022 Oct; 16(5):832-841. PubMed ID: 35737625 [TBL] [Abstract][Full Text] [Related]
37. A novel machine learning-enabled framework for instantaneous heart rate monitoring from motion-artifact-corrupted electrocardiogram signals. Zhang Q; Zhou D; Zeng X Physiol Meas; 2016 Nov; 37(11):1945-1967. PubMed ID: 27681602 [TBL] [Abstract][Full Text] [Related]
38. Segmentation of the ECG Signal by Means of a Linear Regression Algorithm. Aspuru J; Ochoa-Brust A; Félix RA; Mata-López W; Mena LJ; Ostos R; Martínez-Peláez R Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30769781 [TBL] [Abstract][Full Text] [Related]
39. A Novel Instruction Driven 1-D CNN Processor for ECG Classification. Deng J; Yang J; Wang X; Zhang X Sensors (Basel); 2024 Jul; 24(13):. PubMed ID: 39001155 [TBL] [Abstract][Full Text] [Related]
40. [Study on the quality evaluation of electrocardiogram signal in wearable physiological monitoring system]. Han N; Lan K; Zhang Y; Wan T; Zhang Z; Cao D; Yan W Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Feb; 38(1):131-137. PubMed ID: 33899437 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]