A Continuous Clustering Algorithm for Detection of Local Sleep in Humans
Abstract
Objective:
Methods:
Results:
Conclusions:
Methods
Computation of the Instantaneous Amplitude and Frequency
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/appi.neuropsych.17090186inf1.png)
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/appi.neuropsych.17090186inf2.png)
Computation of the Channel Activity Score
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/appi.neuropsych.17090186inf3.png)
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/large/appi.neuropsych.17090186f1.jpeg)
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/large/appi.neuropsych.17090186f2.jpeg)
Probability of Correct Classification
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/appi.neuropsych.17090186equ1.png)
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/appi.neuropsych.17090186equ2.png)
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/appi.neuropsych.17090186inf4.png)
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/appi.neuropsych.17090186equ3.png)
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/large/appi.neuropsych.17090186f3.jpeg)
Prediction of the Mean Activity Score
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/appi.neuropsych.17090186equ4.png)
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/large/appi.neuropsych.17090186f4.jpeg)
Results
Computing the Channel Activity Score
Comparing Frequency and Amplitude for Activity Classification
Linear Regression Successfully Predicts the Mean Activity Score From the Mean Amplitude and Frequency
![](/cms/10.1176/appi.neuropsych.17090186/asset/images/large/appi.neuropsych.17090186f5.jpeg)
Discussion
Conclusions
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