Pages that link to "Item:Q975968"
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The following pages link to Activity pattern detection in electroneurographic and electromyogram signals through a heteroscedastic change-point method (Q975968):
Displaying 7 items.
- Statistical detection of movement activities in a human brain by moving separation of mixture distributions (Q341732) (← links)
- 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)
- A computational method for the detection of activation/deactivation patterns in biological signals with three levels of electric intensity (Q2452787) (← links)
- Detecting and removing outlier(s) in electromyographic gait-related patterns (Q5129022) (← links)
- Computational approximation of the likelihood ratio for testing the existence of change-points in a heteroscedastic series (Q5218881) (← links)
- A Bayesian change-point analysis of electromyographic data: detecting muscle activation patterns and associated applications (Q5701183) (← links)
