Afternoon sleepiness in daily life reduces arousal level, performance, and so on. It has been cleared that short naps are effective to cancel the sleepiness. Sleep stage 2 is one of important factors about sleeping especially in short time nap. Sleep spindles are especially important hallmarks of sleep stage 2. Therefore, it is necessary to find a spindle for analysis in sleep stage 2.
In this paper, we propose an enhanced sleep spindle detector in time domain. In the proposed method, the sleep spindle waves are detected using the improved Fujimori’s method and cumulative sum chart. Through example, the proposed method can detect the sleep spindles with 97.32 % sensitivity compared with a medical specialist. The proposed method can also extract theta and delta waves.