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Wavelet-based analysis of time-variant adaptive structures.
Dziedziech K, Nowak A, Hasse A, Uhl T, Staszewski WJ. Dziedziech K, et al. Philos Trans A Math Phys Eng Sci. 2018 Aug 13;376(2126):20170245. doi: 10.1098/rsta.2017.0245. Philos Trans A Math Phys Eng Sci. 2018. PMID: 29986916 Free PMC article.
Wavelet analysis is applied to identify the time-variant dynamics of adaptive structures. ...The wavelet-based coherence can be used not only for the assessment of the quality of the wavelet-based FRF but also for the identification.This article …
Wavelet analysis is applied to identify the time-variant dynamics of adaptive structures. ...The wavelet-based c …
Ultrasonic based concrete defects identification via wavelet packet transform and GA-BP neural network.
Hu T, Zhao J, Zheng R, Wang P, Li X, Zhang Q. Hu T, et al. PeerJ Comput Sci. 2021 Aug 31;7:e635. doi: 10.7717/peerj-cs.635. eCollection 2021. PeerJ Comput Sci. 2021. PMID: 34604513 Free PMC article.
However, it is a challenging topic as the unevenness of concrete would lead to the complex dynamics with uncertainties in the ultrasonic diagnosis of defects. ...This method can be divided into two parts: (1) signal effective information extraction based on wavelet …
However, it is a challenging topic as the unevenness of concrete would lead to the complex dynamics with uncertainties in the ultraso …
A Speed- and Power-Efficient SPIHT Design for Wearable Quality-On-Demand ECG Applications.
Hsieh JH, Hung KC, Lin YL, Shih MJ. Hsieh JH, et al. IEEE J Biomed Health Inform. 2018 Sep;22(5):1456-1465. doi: 10.1109/JBHI.2017.2773097. Epub 2017 Nov 13. IEEE J Biomed Health Inform. 2018. PMID: 29990135
In this paper, a speed and power-efficient set partitioning in hierarchical trees (SPIHT) design is introduced for one-dimensional (1-D) wavelet-based electrocardiography (ECG) compression systems with quality guarantee. ...Applied to wearable wavelet- …
In this paper, a speed and power-efficient set partitioning in hierarchical trees (SPIHT) design is introduced for one-dimensional (1 …
Discrete wavelet transform analysis of surface electromyography for the fatigue assessment of neck and shoulder muscles.
Chowdhury SK, Nimbarte AD, Jaridi M, Creese RC. Chowdhury SK, et al. J Electromyogr Kinesiol. 2013 Oct;23(5):995-1003. doi: 10.1016/j.jelekin.2013.05.001. Epub 2013 Jun 17. J Electromyogr Kinesiol. 2013. PMID: 23787059
Assessment of neuromuscular fatigue is essential for early detection and prevention of risks associated with work-related musculoskeletal disorders. In recent years, discrete wavelet transform (DWT) of surface electromyography (SEMG) has been used to evaluate muscle …
Assessment of neuromuscular fatigue is essential for early detection and prevention of risks associated with work-related musculoskeletal di …
Wavelet-based Encoding Scheme for Controlling Size of Compressed ECG Segments in Telecardiology Systems.
Al-Busaidi AM, Khriji L, Touati F, Rasid MF, Mnaouer AB. Al-Busaidi AM, et al. J Med Syst. 2017 Sep 12;41(10):166. doi: 10.1007/s10916-017-0817-1. J Med Syst. 2017. PMID: 28900815
The scheme automatically divides the ECG block into segments, while maintaining other compression parameters fixed. This scheme adopts discrete wavelet transform (DWT) method to decompose the ECG data, bit-field preserving (BFP) method to preserve the quality of the …
The scheme automatically divides the ECG block into segments, while maintaining other compression parameters fixed. This scheme adopts discr …
Autonomous characterization of grain size distribution using nonlinear Lamb waves based on deep learning.
Liu L, Wu P, Xiang Y, Xuan FZ. Liu L, et al. J Acoust Soc Am. 2022 Sep;152(3):1913. doi: 10.1121/10.0014289. J Acoust Soc Am. 2022. PMID: 36182292
In the meantime, the integration of the designed nonlinearity-aware network and the quantitative analysis of component importance provides an acceptable physical explainability of the deep learning approach for the nonlinear ultrasonic technique. Our study shows the promis …
In the meantime, the integration of the designed nonlinearity-aware network and the quantitative analysis of component importance pro …
Limit cycle oscillations in standing human posture.
Chagdes JR, Rietdyk S, Haddad JM, Zelaznik HN, Cinelli ME, Denomme LT, Powers KC, Raman A. Chagdes JR, et al. J Biomech. 2016 May 3;49(7):1170-1179. doi: 10.1016/j.jbiomech.2016.03.005. Epub 2016 Mar 8. J Biomech. 2016. PMID: 27018157
Limit cycle oscillations (LCOs) are a hallmark of dynamic instability in time-delayed and nonlinear systems such as climate change models, biological oscillators, and robotics. ...To test this hypothesis we study LCOs in the postural sway of individuals with multipl …
Limit cycle oscillations (LCOs) are a hallmark of dynamic instability in time-delayed and nonlinear systems such as climate ch …
A real-time hourly water index for flood risk monitoring: Pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea.
Deo RC, Byun HR, Kim GB, Adamowski JF. Deo RC, et al. Environ Monit Assess. 2018 Jul 4;190(8):450. doi: 10.1007/s10661-018-6806-0. Environ Monit Assess. 2018. PMID: 29974256
WRI was assessed for its potential in flood monitoring at two hydrologically diverse sites: Dobong (South Korea; August 1998) and Brisbane (Australia; December 2010-January 2011), and its applicability was verified using river water level (H) measurements at hydrological s …
WRI was assessed for its potential in flood monitoring at two hydrologically diverse sites: Dobong (South Korea; August 1998) and Brisbane ( …
Minimizing data transfer with sustained performance in wireless brain-machine interfaces.
Thorbergsson PT, Garwicz M, Schouenborg J, Johansson AJ. Thorbergsson PT, et al. J Neural Eng. 2012 Jun;9(3):036005. doi: 10.1088/1741-2560/9/3/036005. Epub 2012 Apr 23. J Neural Eng. 2012. PMID: 22523005
Brain-machine interfaces (BMIs) may be used to investigate neural mechanisms or to treat the symptoms of neurological disease and are hence powerful tools in research and clinical practice. Wireless BMIs add flexibility to both types of applications by reducing movement re …
Brain-machine interfaces (BMIs) may be used to investigate neural mechanisms or to treat the symptoms of neurological disease and are hence …
Frequency response and distortion properties of nonlinear image processing algorithms and the importance of imaging context.
Wells JR, Dobbins JT 3rd. Wells JR, et al. Med Phys. 2013 Sep;40(9):091906. doi: 10.1118/1.4817477. Med Phys. 2013. PMID: 24007157
PURPOSE: The most common metrics for resolution analysis in medical imaging are valid only for (approximately) linear systems. While analogues to these metrics have been used in attempts to describe resolution performance in nonlinear systems, the analysis …
PURPOSE: The most common metrics for resolution analysis in medical imaging are valid only for (approximately) linear systems. …
13 results