يعرض 1 - 10 نتائج من 2,631 نتيجة بحث عن '"ventricular contraction"', وقت الاستعلام: 0.96s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Hybrid Amplitude Ordinal Partition Networks for ECG Morphology Discrimination: An Application to PVC Recognition

    المؤلفون: Cai, Z., Ma, C., Li, J., Liu, C.

    المصدر: IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 73:1-13 2024

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  2. 2
    مؤتمر
    Signal Processing and Deep Learning Based Smartwatch Photoplethysmography Data Classification of Atrial Fibrillation, Premature Atrial and Ventricular Contraction

    المؤلفون: Javed, Aaisha, Akram, Muhammad Usman, Alghamdi, Norah Saleh

    المصدر: 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) Control, Decision and Information Technologies (CoDIT), 2023 9th International Conference on. :18-23 Jul, 2023

    Relation: 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

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  3. 3
    دورية أكاديمية
    Automated diagnosis of premature ventricular contraction arrhythmia through electrocardiogram analysis and machine learning techniques

    المؤلفون: Bu, WeiweiAff1, IDs41939024005214_cor1

    المصدر: Multiscale and Multidisciplinary Modeling, Experiments and Design. :1-13

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  4. 4
    مؤتمر
    Effects of Torso Inhomogeneities on Spontaneous PVC Localization in Potential and Dipole-Based Methods

    المؤلفون: Rasoolzadeh, N., Ondrusova, B., Dogrusoz, Y.S., Svehlikova, J.

    المصدر: 2023 14th International Conference on Measurement Measurement, 2023 14th International Conference on. :2-5 May, 2023

    Relation: 2023 14th International Conference on Measurement

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  5. 5
    دورية أكاديمية
    Premature Ventricular Contractions Detection by Multi-Domain Feature Extraction and Auto-Encoder-based Feature Reduction

    المؤلفون: Ebrahimpoor, Maryam, Taghizadeh, MehdiAff2, IDs00034024026135_cor2, Fatehi, Mohammad Hossein, Mahdiyar, Omid, Jamali, Jasem

    المصدر: Circuits, Systems, and Signal Processing. 43(5):3279-3296

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  6. 6
    دورية أكاديمية
    An effective premature ventricular contraction detection algorithm based on adaptive template matching and characteristic recognition

    المؤلفون: Xu, Jiale, Mei, Xiaoyu, Chen, Yunfan, Wan, XiangkuiAff1, IDs1176002302951y_cor4

    المصدر: Signal, Image and Video Processing. 18(3):2811-2818

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  7. 7
    دورية أكاديمية
    A “two-step classification” machine learning method for non-invasive localization of premature ventricular contraction origins based on 12-lead ECG

    المؤلفون: Wang, Yiwen, Feng, Xujian, Zhong, Gaoyan, Yang, CuiweiAff1, Aff2, IDs10840023015517_cor4

    المصدر: Journal of Interventional Cardiac Electrophysiology: An International Journal of Cardiac Arrhythmias and Rhythm Management. 67(3):457-470

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  8. 8
    دورية أكاديمية
    Explainable localization of premature ventricular contraction using deep learning‐based semantic segmentation of 12‐lead electrocardiogram

    المؤلفون: Kota Kujime, Hiroshi Seno, Kenzaburo Nakajima, Masatoshi Yamazaki, Ichiro Sakuma, Kenichiro Yamagata, Kengo Kusano, Naoki Tomii

    المصدر: Journal of Arrhythmia, Vol 40, Iss 4, Pp 948-957 (2024)

    مصطلحات موضوعية: automatic ECG diagnosis, deep neural network, premature ventricular contraction, Diseases of the circulatory (Cardiovascular) system, RC666-701

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1880-4276; https://doaj.org/toc/1883-2148

    URL الوصول: https://doaj.org/article/3a9e983ac40e47d5acda9ea591600b26

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  9. 9
    دورية أكاديمية
    Insight from the microelectrodes in case of two different types of premature ventricular contractions originating from left ventricular summit

    المؤلفون: Shushi Nishiwaki, Satoshi Shizuta, Hirohiko Kohjitani, Koh Ono

    المصدر: Indian Pacing and Electrophysiology Journal, Vol 24, Iss 4, Pp 212-216 (2024)

    مصطلحات موضوعية: Microelectrodes, Premature ventricular contraction, Left ventricular summit, Left coronary cusp, Great cardiac vein, Diseases of the circulatory (Cardiovascular) system, RC666-701

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S0972629224000524; https://doaj.org/toc/0972-6292

    URL الوصول: https://doaj.org/article/5777e3070f794761ad010cce3a322899

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  10. 10
    مؤتمر
    Identification of Morphological Patterns for the Detection of Premature Ventricular Contractions

    المؤلفون: De Marco, F., Di Biasi, L., Citarella, A.A., Tucci, M., Tortora, G.

    المصدر: 2022 26th International Conference Information Visualisation (IV) IV Information Visualisation (IV), 2022 26th International Conference. :393-398 Jul, 2022

    Relation: 2022 26th International Conference Information Visualisation (IV)

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