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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

232 related items for PubMed ID: 32587667

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  • 3. Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders.
    Hsu WC, Sugiarto T, Lin YJ, Yang FC, Lin ZY, Sun CT, Hsu CL, Chou KN.
    Sensors (Basel); 2018 Oct 11; 18(10):. PubMed ID: 30314269
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  • 4. Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes.
    Biagetti G, Crippa P, Falaschetti L, Orcioni S, Turchetti C.
    Biomed Eng Online; 2018 Nov 20; 17(Suppl 1):132. PubMed ID: 30458783
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  • 5. Deep Wavelet Convolutional Neural Networks for Multimodal Human Activity Recognition Using Wearable Inertial Sensors.
    Vuong TH, Doan T, Takasu A.
    Sensors (Basel); 2023 Dec 09; 23(24):. PubMed ID: 38139567
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  • 6. A Systematic Comparison of Age and Gender Prediction on IMU Sensor-Based Gait Traces.
    Van Hamme T, Garofalo G, Argones Rúa E, Preuveneers D, Joosen W.
    Sensors (Basel); 2019 Jul 04; 19(13):. PubMed ID: 31277389
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  • 7. A Study of Accelerometer and Gyroscope Measurements in Physical Life-Log Activities Detection Systems.
    Jalal A, Quaid MAK, Tahir SBUD, Kim K.
    Sensors (Basel); 2020 Nov 21; 20(22):. PubMed ID: 33233412
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  • 8. Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning.
    Chung S, Lim J, Noh KJ, Kim G, Jeong H.
    Sensors (Basel); 2019 Apr 10; 19(7):. PubMed ID: 30974845
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  • 9. IMU, sEMG, or their cross-correlation and temporal similarities: Which signal features detect lateral compensatory balance reactions more accurately?
    Nouredanesh M, Tung J.
    Comput Methods Programs Biomed; 2019 Dec 10; 182():105003. PubMed ID: 31465977
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  • 10. Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People.
    Meng L, Zhang A, Chen C, Wang X, Jiang X, Tao L, Fan J, Wu X, Dai C, Zhang Y, Vanrumste B, Tamura T, Chen W.
    Sensors (Basel); 2021 Jan 26; 21(3):. PubMed ID: 33530295
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  • 11. Ablation Analysis to Select Wearable Sensors for Classifying Standing, Walking, and Running.
    Gonzalez S, Stegall P, Edwards H, Stirling L, Siu HC.
    Sensors (Basel); 2020 Dec 30; 21(1):. PubMed ID: 33396734
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  • 12. Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors.
    Xi X, Tang M, Miran SM, Luo Z.
    Sensors (Basel); 2017 May 27; 17(6):. PubMed ID: 28555016
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  • 14. Position-Aware Indoor Human Activity Recognition Using Multisensors Embedded in Smartphones.
    Wang X, Wang Y, Wu J.
    Sensors (Basel); 2024 May 24; 24(11):. PubMed ID: 38894162
    [Abstract] [Full Text] [Related]

  • 15. A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors.
    Sun H, Zhang X, Zhao Y, Zhang Y, Zhong X, Fan Z.
    Sensors (Basel); 2018 Mar 15; 18(3):. PubMed ID: 29543737
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  • 17. Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors.
    Martinez-Hernandez U, Dehghani-Sanij AA.
    Neural Netw; 2018 Jun 15; 102():107-119. PubMed ID: 29567532
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  • 18. Wearable Inertial Sensor System Towards Daily Human Kinematic Gait Analysis: Benchmarking Analysis to MVN BIOMECH.
    Figueiredo J, Carvalho SP, Vilas-Boas JP, Gonçalves LM, Moreno JC, Santos CP.
    Sensors (Basel); 2020 Apr 12; 20(8):. PubMed ID: 32290636
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  • 19. Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice.
    Dobkin BH, Martinez C.
    Curr Neurol Neurosci Rep; 2018 Oct 06; 18(12):87. PubMed ID: 30293160
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  • 20. Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson's Disease Using Electromyography and Inertial Signals.
    Mazzetta I, Zampogna A, Suppa A, Gumiero A, Pessione M, Irrera F.
    Sensors (Basel); 2019 Feb 23; 19(4):. PubMed ID: 30813411
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