Cross-correlation time-frequency analysis for multiple EMG signals in Parkinson’s disease: a wavelet approach (Q60728762)

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2 November 2019

title

Cross-correlation time-frequency analysis for multiple EMG signals in Parkinson's disease: a wavelet approach (English)

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2 November 2019

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Maria Chiara Carboncini

3

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2 November 2019

author name string

Gennaro De Michele

1

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2 November 2019

Stefano Sello

2

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2 November 2019

Bruno Rossi

4

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2 November 2019

Soo-Kyung Strambi

5

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2 November 2019

publication date

1 June 2003

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Medical Engineering and Physics

2 November 2019

published in

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2 November 2019

volume

25

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2 November 2019

issue

5

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2 November 2019

page(s)

361-369

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Wavelet analysis of high-resolution signal-averaged ECGs in postinfarction patients.

2 November 2019

cites work

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7 January 2021

Detection of ECG characteristic points using wavelet transforms.

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Wavelet transform in human visual channels.

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Multiscale analysis for singularity detection in pulmonary microvascular pressure transients.

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7 January 2021

Evaluation of EMG signals from rehabilitated patients with lower back pain using wavelets

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7 January 2021

Decomposition of multiunit electromyographic signals

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7 January 2021

Wavelet analysis of electromyography for back muscle fatigue detection during isokinetic constant-torque exertions

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7 January 2021

The relation between EMG activity and kinematic parameters strongly supports a role of the action tremor in parkinsonian bradykinesia.

1 reference

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7 January 2021

Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape

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7 January 2021

A Practical Guide to Wavelet Analysis

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7 January 2021

Effect of medication on EMG patterns in individuals with Parkinson's disease

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7 January 2021

Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony

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7 January 2021

10.1016/S1350-4533(03)00034-1

Identifiers

DOI

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2 November 2019

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