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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

290 related articles for article (PubMed ID: 33371514)

  • 1. An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks.
    Rincon JA; Guerra-Ojeda S; Carrascosa C; Julian V
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33371514
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Narrowband IoT Personal Sensor for Long-Term Heart Rate Monitoring and Atrial Fibrillation Detection.
    Cinotti E; Centracchio J; Parlato S; Andreozzi E; Esposito D; Muto V; Bifulco P; Riccio M
    Sensors (Basel); 2024 Jul; 24(14):. PubMed ID: 39065829
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Remote Pain Monitoring Using Fog Computing for e-Healthcare: An Efficient Architecture.
    Hassan SR; Ahmad I; Ahmad S; Alfaify A; Shafiq M
    Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33217896
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System.
    Rajan JP; Rajan SE; Martis RJ; Panigrahi BK
    J Med Syst; 2019 Dec; 44(2):34. PubMed ID: 31853735
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrating ECG Monitoring and Classification via IoT and Deep Neural Networks.
    Yeh LR; Chen WC; Chan HY; Lu NH; Wang CY; Twan WH; Du WC; Huang YH; Hsu SY; Chen TB
    Biosensors (Basel); 2021 Jun; 11(6):. PubMed ID: 34201215
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment.
    Shukla S; Hassan MF; Khan MK; Jung LT; Awang A
    PLoS One; 2019; 14(11):e0224934. PubMed ID: 31721807
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimized intrusion detection in IoT and fog computing using ensemble learning and advanced feature selection.
    Tawfik M
    PLoS One; 2024; 19(8):e0304082. PubMed ID: 39088558
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.
    Iqbal U; Wah TY; Habib Ur Rehman M; Mujtaba G; Imran M; Shoaib M
    J Med Syst; 2018 Nov; 42(12):252. PubMed ID: 30397730
    [TBL] [Abstract][Full Text] [Related]  

  • 10. IoT-enabled cloud-based real-time remote ECG monitoring system.
    Sahu ML; Atulkar M; Ahirwal MK; Ahamad A
    J Med Eng Technol; 2021 Aug; 45(6):473-485. PubMed ID: 34016012
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comprehensive framework for student stress monitoring in fog-cloud IoT environment: m-health perspective.
    Verma P; Sood SK
    Med Biol Eng Comput; 2019 Jan; 57(1):231-244. PubMed ID: 30083806
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Edge-Fog-Cloud Computing Hierarchy for Improving Performance and Security of NB-IoT-Based Health Monitoring Systems.
    Daraghmi YA; Daraghmi EY; Daraghma R; Fouchal H; Ayaida M
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433242
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.
    Attia ZI; Noseworthy PA; Lopez-Jimenez F; Asirvatham SJ; Deshmukh AJ; Gersh BJ; Carter RE; Yao X; Rabinstein AA; Erickson BJ; Kapa S; Friedman PA
    Lancet; 2019 Sep; 394(10201):861-867. PubMed ID: 31378392
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Evaluation of e-Health Service Performance through the Integration of 5G IoT, Fog, and Cloud Computing.
    AlQahtani SA
    Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299731
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Influence of Optimization Design Based on Artificial Intelligence and Internet of Things on the Electrocardiogram Monitoring System.
    Yin M; Tang R; Liu M; Han K; Lv X; Huang M; Xu P; Hu Y; Ma B; Gai Y
    J Healthc Eng; 2020; 2020():8840910. PubMed ID: 33178407
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-classification of arrhythmias using a HCRNet on imbalanced ECG datasets.
    Luo X; Yang L; Cai H; Tang R; Chen Y; Li W
    Comput Methods Programs Biomed; 2021 Sep; 208():106258. PubMed ID: 34218172
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings.
    Rubin J; Parvaneh S; Rahman A; Conroy B; Babaeizadeh S
    J Electrocardiol; 2018; 51(6S):S18-S21. PubMed ID: 30122456
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accurate detection of atrial fibrillation from 12-lead ECG using deep neural network.
    Cai W; Chen Y; Guo J; Han B; Shi Y; Ji L; Wang J; Zhang G; Luo J
    Comput Biol Med; 2020 Jan; 116():103378. PubMed ID: 31778896
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fog Computing Service in the Healthcare Monitoring System for Managing the Real-Time Notification.
    Elhadad A; Alanazi F; Taloba AI; Abozeid A
    J Healthc Eng; 2022; 2022():5337733. PubMed ID: 35340260
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Approach for Atrial Fibrillation Signal Identification Based on Temporal Attention Mechanism.
    Gao Y; Wang H; Liu Z
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():316-319. PubMed ID: 33017992
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.