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In this paper, we present a new automatic method for sleep spindle detection. It consist of a generalisation of the Schimicek's method [12] that takes more types of artefacts into account and uses variable thresholds regarding the statistical properties of the signal. Validity of our process is examined on the basis of visual spindle scoring performed by an expert. Results obtained are compared to...
In this paper, we present a new automatic method for sleep spindle detection. It consist of a generalisation of the Schimicek's method [12] that takes more types of artefacts into account and uses variable thresholds regarding the statistical properties of the signal. Validity of our process is examined on the basis of visual spindle scoring performed by an expert. Results obtained are compared to...
In this paper, we present a new automatic method for sleep spindle detection. It consist of a generalisation of the Schimicek's method [12] that takes more types of artefacts into account and uses variable thresholds regarding the statistical properties of the signal. Validity of our process is examined on the basis of visual spindle scoring performed by an expert. Results obtained are compared to...
This paper presents innovative algorithms designed for proving the integrity of parameter estimation. These algorithms rely on an unusual sensor modeling, delivering measurements as confidence intervals (with an associated confidence level) rather than as point estimates, as usually considered. Suitable combinations of measurements provided by several sensors may reach extremely high confidence levels...
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