Pages that link to "Item:Q5701183"
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The following pages link to A Bayesian change-point analysis of electromyographic data: detecting muscle activation patterns and associated applications (Q5701183):
Displaying 8 items.
- Using state-space model with regime switching to represent the dynamics of facial electromyography (EMG) data (Q615678) (← links)
- An optimal Bayesian threshold method for onset detection in electric biosignals (Q669177) (← links)
- On-line changepoint detection and parameter estimation with application to genomic data (Q746236) (← links)
- Activity pattern detection in electroneurographic and electromyogram signals through a heteroscedastic change-point method (Q975968) (← links)
- Change-point problems: bibliography and review (Q2324132) (← links)
- A computational method for the detection of activation/deactivation patterns in biological signals with three levels of electric intensity (Q2452787) (← links)
- Computational approximation of the likelihood ratio for testing the existence of change-points in a heteroscedastic series (Q5218881) (← links)
- Bayesian detection of piecewise linear trends in replicated time-series with application to growth data modelling (Q6636036) (← links)