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Journal Abstract Search

153 related items for PubMed ID: 24434840

  • 1. An energy efficient compressed sensing framework for the compression of electroencephalogram signals.
    Fauvel S, Ward RK.
    Sensors (Basel); 2014 Jan 15; 14(1):1474-96. PubMed ID: 24434840
    [Abstract] [Full Text] [Related]

  • 2. A new near-lossless EEG compression method using ANN-based reconstruction technique.
    Hejrati B, Fathi A, Abdali-Mohammadi F.
    Comput Biol Med; 2017 Aug 01; 87():87-94. PubMed ID: 28558318
    [Abstract] [Full Text] [Related]

  • 3. Compressed sensing of EEG for wireless telemonitoring with low energy consumption and inexpensive hardware.
    Zhang Z, Jung TP, Makeig S, Rao BD.
    IEEE Trans Biomed Eng; 2013 Jan 01; 60(1):221-4. PubMed ID: 22968206
    [Abstract] [Full Text] [Related]

  • 4. Spatiotemporal sparse Bayesian learning with applications to compressed sensing of multichannel physiological signals.
    Zhang Z, Jung TP, Makeig S, Pi Z, Rao BD.
    IEEE Trans Neural Syst Rehabil Eng; 2014 Nov 01; 22(6):1186-97. PubMed ID: 24801887
    [Abstract] [Full Text] [Related]

  • 5. Effect of Epoch Length on Compressed Sensing of EEG.
    Li XJ, Dao PT, Griffin A.
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul 01; 2018():1-4. PubMed ID: 30440297
    [Abstract] [Full Text] [Related]

  • 6. Fast reconstruction of EEG signal compression sensing based on deep learning.
    Du X, Liang K, Lv Y, Qiu S.
    Sci Rep; 2024 Mar 01; 14(1):5087. PubMed ID: 38429300
    [Abstract] [Full Text] [Related]

  • 7. A low-rank matrix recovery approach for energy efficient EEG acquisition for a wireless body area network.
    Majumdar A, Gogna A, Ward R.
    Sensors (Basel); 2014 Aug 25; 14(9):15729-48. PubMed ID: 25157551
    [Abstract] [Full Text] [Related]

  • 8. Energy-efficient ECG compression on wireless biosensors via minimal coherence sensing and weighted ℓ₁ minimization reconstruction.
    Zhang J, Gu Z, Yu ZL, Li Y.
    IEEE J Biomed Health Inform; 2015 Mar 25; 19(2):520-8. PubMed ID: 25751844
    [Abstract] [Full Text] [Related]

  • 9. Exploiting prior knowledge in compressed sensing wireless ECG systems.
    Polanía LF, Carrillo RE, Blanco-Velasco M, Barner KE.
    IEEE J Biomed Health Inform; 2015 Mar 25; 19(2):508-19. PubMed ID: 24846672
    [Abstract] [Full Text] [Related]

  • 10. Evaluation of Digital Compressed Sensing for Real-Time Wireless ECG System with Bluetooth low Energy.
    Wang Y, Doleschel S, Wunderlich R, Heinen S.
    J Med Syst; 2016 Jul 25; 40(7):170. PubMed ID: 27240841
    [Abstract] [Full Text] [Related]

  • 11. Highly Efficient Compression Algorithms for Multichannel EEG.
    Shaw L, Rahman D, Routray A.
    IEEE Trans Neural Syst Rehabil Eng; 2018 May 25; 26(5):957-968. PubMed ID: 29752230
    [Abstract] [Full Text] [Related]

  • 12. Multichannel EEG compression: wavelet-based image and volumetric coding approach.
    Srinivasan K, Dauwels J, Ramasubba MR.
    IEEE J Biomed Health Inform; 2013 Jan 25; 17(1):113-20. PubMed ID: 22510952
    [Abstract] [Full Text] [Related]

  • 13. Compressed Sensing of EEG with Gabor Dictionary: Effect of Time and Frequency Resolution.
    Dao PT, Griffin A, Li XJ.
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul 25; 2018():3108-3111. PubMed ID: 30441052
    [Abstract] [Full Text] [Related]

  • 14. Dictionary selection for compressed sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning.
    Dey MR, Shiraz A, Sharif S, Lota J, Demosthenous A.
    Biomed Phys Eng Express; 2020 Oct 29; 6(6):. PubMed ID: 35093940
    [Abstract] [Full Text] [Related]

  • 15. A feature enhanced EEG compression model using asymmetric encoding-decoding network.
    Wang X, Zhang J, Wu X.
    J Neural Eng; 2024 May 16; 21(3):. PubMed ID: 38718785
    [Abstract] [Full Text] [Related]

  • 16. Energy Analysis of Decoders for Rakeness-Based Compressed Sensing of ECG Signals.
    Pareschi F, Mangia M, Bortolotti D, Bartolini A, Benini L, Rovatti R, Setti G.
    IEEE Trans Biomed Circuits Syst; 2017 Dec 16; 11(6):1278-1289. PubMed ID: 28920907
    [Abstract] [Full Text] [Related]

  • 17. Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing.
    Wu L, Yu K, Cao D, Hu Y, Wang Z.
    Sensors (Basel); 2015 Aug 13; 15(8):19880-911. PubMed ID: 26287195
    [Abstract] [Full Text] [Related]

  • 18. The effects of lossy compression on diagnostically relevant seizure information in EEG signals.
    Higgins G, McGinley B, Faul S, McEvoy RP, Glavin M, Marnane WP, Jones E.
    IEEE J Biomed Health Inform; 2013 Jan 13; 17(1):121-7. PubMed ID: 23047884
    [Abstract] [Full Text] [Related]

  • 19. Wireless EEG System Achieving High Throughput and Reduced Energy Consumption Through Lossless and Near-Lossless Compression.
    Alvarez GDY, Favaro F, Lecumberry F, Martin A, Oliver JP, Oreggioni J, Ramirez I, Seroussi G, Steinfeld L.
    IEEE Trans Biomed Circuits Syst; 2018 Feb 13; 12(1):231-241. PubMed ID: 29377811
    [Abstract] [Full Text] [Related]

  • 20. Compressed sensing for real-time energy-efficient ECG compression on wireless body sensor nodes.
    Mamaghanian H, Khaled N, Atienza D, Vandergheynst P.
    IEEE Trans Biomed Eng; 2011 Sep 13; 58(9):2456-66. PubMed ID: 21606019
    [Abstract] [Full Text] [Related]

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