An Improved Auto-Correlation Algorithm and its Application in Fetal Heart Rate Detection

Zhou, Xiong; Xiong, Xiang

doi:10.1109/bmei.2009.5304972

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Originally it has been used to detect the pitch period for speech compression, synthesis and recognition. In 2009, the idea of CAMDF has been successfully applied to detect the fetal heart [6].…”

Section: A Camdf Based Synchronizationmentioning

confidence: 99%

CAMDF based synchronization for IEEE 802.15.4 IR-UWB systems in rich scattering environments

Reinhold

Kays

Kledewski

2014

2014 IEEE International Conference on Ultra-WideBand (ICUWB)

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Wireless communication based on impulse-radio ultra-wideband technology can be basically characterized by a high bandwidth, a low power spectral density and its coexistence capability. Nevertheless, the synchronization of impulse-radio ultra-wideband systems in multipath environments is still a demanding task. In this paper, the synchronization performance of the IEEE 802.15.4 impulse-radio ultra-wideband physical layer is analyzed. Based on channel measurement campaigns, which have been performed in industrial environments, the performance in terms of packet error rate and coverage range is evaluated. A novel synchronization approach based on circular average magnitude difference functions (CAMDF) is presented. The main idea of this approach is to preselect the correlation window by CAMDF calculations. This reduces the fault detection ratio and thus increases system reliability. Apart from the CAMDF based synchronization procedure, the analysis involves the impact of both a fine and coarse synchronization procedure.

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Section: A Camdf Based Synchronizationmentioning

confidence: 99%

CAMDF based synchronization for IEEE 802.15.4 IR-UWB systems in rich scattering environments

Reinhold

Kays

Kledewski

2014

2014 IEEE International Conference on Ultra-WideBand (ICUWB)

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Intelligent system of construction machinery based on μC/OS-II

Zhu

2010

Proceedings of 2010 IEEE International Conference on Vehicular Electronics and Safety

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Fetal cardiotocography monitoring using Legendre neural networks

Alsayyari

2019

Biomedical Engineering / Biomedizinische Technik

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A new technique for electronic fetal monitoring (EFM) using an efficient structure of neural networks based on the Legendre series is presented in this paper. Such a structure is achieved by training a Legendre series-based neural network (LNN) to classify the different fetal states based on recorded cardiotocographic (CTG) data sets given by others. These data sets consist of measurements of fetal heart rate (FHR) and uterine contraction (UC). The applied LNN utilizes a Legendre series expansion for the input vectors and, hence, has the capability to produce explicit equations describing multi-input multi-output systems. Simulations of the proposed technique in EFM demonstrate its high efficiency. Training the LNN requires a few number of iterations (5–10 epochs). The applied technique makes the classification of the fetal state available through equations combining the trained LNN weights and the current measured CTG record. A comparison of performance between the proposed LNN and other popular neural network techniques such as the Volterra neural network (VNN) in EFM is provided. The comparison shows that, the LNN outperforms the VNN in case of less computational requirements and fast convergence with a lower mean square error.

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An Improved Auto-Correlation Algorithm and its Application in Fetal Heart Rate Detection

Cited by 3 publications

References 4 publications

CAMDF based synchronization for IEEE 802.15.4 IR-UWB systems in rich scattering environments

CAMDF based synchronization for IEEE 802.15.4 IR-UWB systems in rich scattering environments

Intelligent system of construction machinery based on μC/OS-II

Fetal cardiotocography monitoring using Legendre neural networks

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An Improved Auto-Correlation Algorithm and its Application in Fetal Heart Rate Detection

Cited by 3 publications

References 4 publications

CAMDF based synchronization for IEEE 802.15.4 IR-UWB systems in rich scattering environments

CAMDF based synchronization for IEEE 802.15.4 IR-UWB systems in rich scattering environments

Intelligent system of construction machinery based on &#x03BC;C/OS-II

Fetal cardiotocography monitoring using Legendre neural networks

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Product

Resources

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Intelligent system of construction machinery based on μC/OS-II