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- W3204265558 abstract "Many science researchers believe that a healthy thinking depends on the quality of human sleep. Measuring sleep quality through the systems currently available is not only complicated but also largely expensive. Accurate assessment of the quality of sleep depends on many physical and environmental factors such as dimension of bed, light effects, room temperature, any type of disease and oxygen level. Accurate measurement of these factors and establishing their relationship with sleep quality is a complex process. In this work, to summarize the systems available at present in measuring sleep quality of narcolepsy patient, an algorithm is proposed based on EEG energy-level patterns and time slot. EEG data has proved to reflect the activities of brain over all the section with respect to human activities. They are useful in both cases that is in awakening states and in sleep stage. Most of the brain disease is due to the deterioration of brain cells, and another part of algorithm is to identify optimized time slot for narcolepsy patient in order to summarize and to save patient from radiation of sleep quality measuring equipment." @default.
- W3204265558 created "2021-10-11" @default.
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- W3204265558 date "2021-01-01" @default.
- W3204265558 modified "2023-09-23" @default.
- W3204265558 title "Power Spectrum Estimation-Based Narcolepsy Diagnosis with Sleep Time Slot Optimization" @default.
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- W3204265558 doi "https://doi.org/10.1007/978-981-33-4367-2_84" @default.
- W3204265558 hasPublicationYear "2021" @default.
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