Quantitative assessment of the use of continuous wavelet transform in the analysis of the fundamental frequency disturbance of the synthetic voice

Parraga, Adriane; Zaro, Milton Antônio; Schuck, Adalberto

doi:10.1016/s1350-4533(02)00050-4

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…The Wavelet Transform has become a major tool in signal processing along the past decades, with applications for feature extraction as well as to its analogue problem of data compression, even for 2-D signals, as in Mallat (1989), Coifman and Wickerhauser (1995), Parraga et al (2002). The Wavelet Packet Transform is a generalization of the Discrete Wavelet Transform which is defined by the inner product of a signal x(t) with the Wavelet function ω sf p (t):…”

Section: Wavelet Packet Transformmentioning

confidence: 99%

An Embedded Classifier of Lung Sounds based on the Wavelet Packet Transform and ANN

Tocchetto

Bazanella

Guimarães

et al. 2014

IFAC Proceedings Volumes

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Section: Wavelet Packet Transformmentioning

confidence: 99%

An Embedded Classifier of Lung Sounds based on the Wavelet Packet Transform and ANN

Tocchetto

Bazanella

Guimarães

et al. 2014

IFAC Proceedings Volumes

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“…Wavelet theory is designed to give good time resolution and poor frequency resolution at high frequencies, and good frequency resolution and poor time resolution at low frequencies [16]. This feature is useful for the signal with high-frequency components for short durations and lowfrequency components for long durations.…”

Section: Signal Processingmentioning

confidence: 99%

Bio-Impedance and Synchronous Electrogastrogram to Evaluate Gastric Motility

Guan

Ren

et al. 2008

2008 2nd International Conference on Bioinformatics and Biomedical Engineering

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In order to assess gastric motility, a new noninvasive method with Bio-impedance and synchronous electrogastrogram was addressed. Electrical impedance signals (EIP) and electrogastrogram (EGG) were recorded from the healthy control group and the pathologic stomach group. Wavelet transform was employed to separate EIP breath and heart activity signals. The temporal-domain and frequency-domain parameters were studied for these two signals to evaluate gastric motility. There is significance difference in the temporal-domain and frequency-domain properties between two groups, such as rthythms of EGG and EIP, signal power spectrum and dynamic spectrum, the rates of normal rhythms, Frequency Instability Coefficient and so on. The frequency may have sudden changes more markedly over time in abnormal situation. The parameters of the EIP provide useful information regarding gastrointestinal motility and symptoms. Base on the synchronous EGG and EIP, the method will be a new potentially useful tool for the noninvasive assessment of gastric motility.

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“…In the method the electrical bioimpedance measurement combines with synchronous EGG to extract gastric motility information of both electrical activity and mechanical behavior [6].…”

Section: Introductionmentioning

confidence: 99%

Electrical Bioimpedance Method to Measure Gastric Motility Function

Deng

Zhao

Sha

et al. 2008

2008 2nd International Conference on Bioinformatics and Biomedical Engineering

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An electrical bioimpedance method to measure gastric motility function has developed. The method combines impedance gastric motility (IGM) signal with synchronous EGG measurement to extract gastric motility information of both electrical and mechanical activities of stomach and to investigate the complex course of gastric motility, including its rhythm, transmission, gastric emptying and the influences of them. An experiment device of the method has set up and some primary validation experiments of gastric motility measurement, such as compare tests of gastric motility activity for different period of time, some medicine effect test on gastric motility are executed.In the method wavelet transform is adopted to separate the IGM and EGG signals from breath and heart activity signals. By the means of energy and frequency spectrum analysis technique, the signals IGM and EGG can be classified according to the dominant power and dominant frequency. Some indexes such as rhythms of EGG and IGM, signal power spectrum and dynamic spectrum, the rates of rhythm and power for the normal EGG and IGM and so on can also be calculated. The results of the primary experiments suggest that the method has the good development and application prospect for the measurement and evaluate gastric motility function.

show abstract

Quantitative assessment of the use of continuous wavelet transform in the analysis of the fundamental frequency disturbance of the synthetic voice

Cited by 8 publications

References 9 publications

An Embedded Classifier of Lung Sounds based on the Wavelet Packet Transform and ANN

An Embedded Classifier of Lung Sounds based on the Wavelet Packet Transform and ANN

Bio-Impedance and Synchronous Electrogastrogram to Evaluate Gastric Motility

Electrical Bioimpedance Method to Measure Gastric Motility Function

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