The technique is used to detect the early stages of Alzheimer's disease, exhibiting significant performance when compared with control patients. The measures of ...

In this paper, we introduce the method of the fractional Brownian bridge for the. Hurst exponent estimation from a signal and apply it to the.

Fractional Brownian Bridge Model for Alzheimer Disease Detection from EEG Signal ... EEG signals for the detection of Alzheimer's disease /. January 1970.

Sep 25, 2024 · , Pavel Sovka: Fractional Brownian Bridge Model for Alzheimer Disease Detection from EEG Signal. ICSPIS 2018: 1-4; 2017. [c1]. view. electronic ...

In this paper, we introduce the method of the fractional Brownian bridge for the Hurst exponent estimation from a signal and apply it to the ...

Fractional Brownian Bridge Model for Alzheimer Disease Detection from EEG Signal · Medicine, Computer Science. 2018 International Conference on Signal… · 2018.

Jun 1, 2024 · This study introduces Multi-Threshold Recurrence Rate Plots (MTRRP), a novel methodology for analyzing dynamic patterns in complex systems.

Oct 22, 2024 · The efficiency of the estimation is validated by four different methods of fractional Brownian motion generation. The resulting estimates have ...

We present a novel method for interpolating univariate time series data. The proposed method combines multi-point fractional Brownian bridges, a genetic ...

We present rotational spectrum method that estimates the correlation dimension without bias for arbitrary set in Euclidean space and apply it to the EEG. Using ...