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2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
We study the acquisition and analysis of sounds generated by the knee during walking with particular focus on the effects due to osteoarthritis. Reliable contact instant estimation is essential for stride synchronous analysis. We present a dynamic programming based algorithm for automatic estimation of both the initial contact instants (ICIs) and last ...
Costas Yiallourides +3 more
openaire +1 more source
We study the acquisition and analysis of sounds generated by the knee during walking with particular focus on the effects due to osteoarthritis. Reliable contact instant estimation is essential for stride synchronous analysis. We present a dynamic programming based algorithm for automatic estimation of both the initial contact instants (ICIs) and last ...
Costas Yiallourides +3 more
openaire +1 more source
Expert Systems with Applications, 2019
Abstract In this paper, a deep convolutional neural network (CNN) is proposed for accurate segmentation of retinal blood vessels. This method plays a significant role in observing many eye diseases. A strided-CNN model is proposed for accurate segmentation of retinal vessels, especially the tiny vessels.
Toufique Ahmed Soomro +5 more
openaire +2 more sources
Abstract In this paper, a deep convolutional neural network (CNN) is proposed for accurate segmentation of retinal blood vessels. This method plays a significant role in observing many eye diseases. A strided-CNN model is proposed for accurate segmentation of retinal vessels, especially the tiny vessels.
Toufique Ahmed Soomro +5 more
openaire +2 more sources
2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2019
Stride time is an important indicator for the assessment of gait stability in long-term measurements using inertial measurement sensors. Peak detection is a commonly used method for gait segmentation and stride time estimation. Standard peak detection algorithms often fail due to additional movement components and measurement noise. This paper proposes
Markus J. Lüken +5 more
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Stride time is an important indicator for the assessment of gait stability in long-term measurements using inertial measurement sensors. Peak detection is a commonly used method for gait segmentation and stride time estimation. Standard peak detection algorithms often fail due to additional movement components and measurement noise. This paper proposes
Markus J. Lüken +5 more
openaire +1 more source
Journal of the ASABE
HighlightsCRI features were integrated with spectral data into a 1D-CNN, enhancing prediction accuracy.A segmented stride design was implemented to optimize feature extraction in critical spectral regions.The CRI-integrated 1D-CNN outperformed traditional methods, achieving superior predictive accuracy.The model's flexibility and adaptability were ...
Junjie Dai +3 more
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HighlightsCRI features were integrated with spectral data into a 1D-CNN, enhancing prediction accuracy.A segmented stride design was implemented to optimize feature extraction in critical spectral regions.The CRI-integrated 1D-CNN outperformed traditional methods, achieving superior predictive accuracy.The model's flexibility and adaptability were ...
Junjie Dai +3 more
openaire +1 more source
Variable-stride stream segmentation and multi-pattern matching
2010HUA NAN, LAKSHMAN TIRUNELL V, SONG HAOYU
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Stride variability in human gait: the effect of stride frequency and stride length
Gait and Posture, 2003Mireille Bonnard, J Pailhous
exaly
Re-interpreting detrended fluctuation analyses of stride-to-stride variability in human walking
Gait and Posture, 2010Joseph Cusumano, Jonathan Dingwell
exaly
ACL deficiency affects stride‐to‐stride variability as measured using nonlinear methodology
Knee Surgery, Sports Traumatology, Arthroscopy, 2007Stavros Ristanis +2 more
exaly