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 *

135 related articles for article (PubMed ID: 38475146)

  • 21. Deep convolutional neural network-based signal quality assessment for photoplethysmogram.
    Shin H
    Comput Biol Med; 2022 Jun; 145():105430. PubMed ID: 35339844
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Wrapper-based deep feature optimization for activity recognition in the wearable sensor networks of healthcare systems.
    Sahoo KK; Ghosh R; Mallik S; Roy A; Singh PK; Zhao Z
    Sci Rep; 2023 Jan; 13(1):965. PubMed ID: 36653370
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Estimation of cerebral blood flow velocity during breath-hold challenge using artificial neural networks.
    Al-Abed MA; Al-Bashir AK; Al-Rawashdeh A; Alex RM; Zhang R; Watenpaugh DE; Behbehani K
    Comput Biol Med; 2019 Dec; 115():103508. PubMed ID: 31698237
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Blood pressure estimation and classification using a reference signal-less photoplethysmography signal: a deep learning framework.
    Pankaj ; Kumar A; Komaragiri R; Kumar M
    Phys Eng Sci Med; 2023 Dec; 46(4):1589-1605. PubMed ID: 37747644
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A Novel PPG-Based Biometric Authentication System Using a Hybrid CVT-ConvMixer Architecture with Dense and Self-Attention Layers.
    Ibrahim MEA; Abbas Q; Daadaa Y; Ahmed AES
    Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38202878
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Robust PPG Peak Detection Using Dilated Convolutional Neural Networks.
    Kazemi K; Laitala J; Azimi I; Liljeberg P; Rahmani AM
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015816
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study.
    Karolcik S; Manginas V; Chanh HQ; Daniels J; Giang NT; Huyen VNT; Hoang MTV; Phan Nguyen Quoc K; Hernandez B; Ming DK; Nguyen Van H; Phan TQ; Trieu HT; Luong Thi Hue T; Holmes AH; Thwaites L; Phan Vinh T; Yacoub S; Georgiou P;
    EBioMedicine; 2024 Jun; 104():105164. PubMed ID: 38815363
    [TBL] [Abstract][Full Text] [Related]  

  • 28. SiamQuality: a ConvNet-based foundation model for photoplethysmography signals.
    Ding C; Guo Z; Chen Z; Lee RJ; Rudin C; Hu X
    Physiol Meas; 2024 Aug; 45(8):. PubMed ID: 39048103
    [No Abstract]   [Full Text] [Related]  

  • 29. Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects.
    Islam MM; Nooruddin S; Karray F; Muhammad G
    Comput Biol Med; 2022 Oct; 149():106060. PubMed ID: 36084382
    [TBL] [Abstract][Full Text] [Related]  

  • 30. PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network.
    Wang Y; Azimi I; Kazemi K; Rahmani AM; Liljeberg P
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3387-3391. PubMed ID: 36086184
    [TBL] [Abstract][Full Text] [Related]  

  • 31. w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices.
    Bhat G; Tran N; Shill H; Ogras UY
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32962046
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Enhanced premature ventricular contraction pulse detection and classification using deep convolutional neural network.
    Raj R; Kumar US; Maik V
    Phys Eng Sci Med; 2023 Dec; 46(4):1677-1691. PubMed ID: 37721684
    [TBL] [Abstract][Full Text] [Related]  

  • 33. The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors.
    Huang W; Zhang L; Teng Q; Song C; He J
    IEEE J Biomed Health Inform; 2021 Oct; 25(10):3834-3843. PubMed ID: 34170835
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Visualizing Inertial Data For Wearable Sensor Based Daily Life Activity Recognition Using Convolutional Neural Network
    Huynh-The T; Hua CH; Kim DS
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2478-2481. PubMed ID: 31946400
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Human activity recognition from textile electrocardiograms.
    Klingenberg A; Purrucker V; Schuler W; Ganapathy N; Spicher N; Deserno TM
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3434-3437. PubMed ID: 36086499
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison of HRV parameters derived from photoplethysmography and electrocardiography signals.
    Jeyhani V; Mahdiani S; Peltokangas M; Vehkaoja A
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():5952-5. PubMed ID: 26737647
    [TBL] [Abstract][Full Text] [Related]  

  • 37. An adaptive deep learning approach for PPG-based identification.
    Jindal V; Birjandtalab J; Pouyan MB; Nourani M
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():6401-6404. PubMed ID: 28269713
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals.
    Kang M; Shin S; Jung J; Kim YT
    J Healthc Eng; 2021; 2021():9951905. PubMed ID: 34194687
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals.
    Ahmed AES; Abbas Q; Daadaa Y; Qureshi I; Perumal G; Ibrahim MEA
    Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631741
    [TBL] [Abstract][Full Text] [Related]  

  • 40. CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment.
    Biswas D; Everson L; Liu M; Panwar M; Verhoef BE; Patki S; Kim CH; Acharyya A; Van Hoof C; Konijnenburg M; Van Helleputte N
    IEEE Trans Biomed Circuits Syst; 2019 Apr; 13(2):282-291. PubMed ID: 30629514
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.