Sleep Stage Classification: Scalability Evaluations of Distributed Approaches

2018-09-01 · Serife Acikalin, Suleyman Eken, Ahmet Sayar

Processing and analyzing of massive clinical data are resource intensive and time consuming with traditional analytic tools. Electroencephalogram (EEG) is one of the major technologies in detecting and diagnosing various brain disorders, and produces huge volume big data to process. In this study, we propose a big data framework to diagnose sleep disorders by classifying the sleep stages from EEG signals. The framework is developed with open source SparkMlib Libraries. We also tested and evaluated the proposed framework by measuring the scalabilities of well-known classification algorithms on physionet sleep records.

📄 PDF Abstract BibTeX arXiv:1809.00233

Code (0)

등록된 구현이 없습니다.

Tasks

ClassificationEEGElectroencephalogram (EEG)General Classification

Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG

2018-11-25 · Abhay Koushik, Judith Amores, Pattie Maes

We present the first real-time sleep staging system that uses deep learning without the need for servers in a smartphone application for a wearable EEG. We employ real-time adaptation of a single channel Electroencephalo…

EEG Electroencephalogram (EEG)General Classification Sleep Stage Detection+1

Sleep-stage efficient classification using a lightweight self-supervised model

2026-05-25 · Eldiane Borges dos Santos Durães, João Batista Florindo arxiv

Accurate classification of sleep stages is crucial for diagnosing sleep disorders and automating this process can significantly enhance clinical assessments. This study aims to explore the use of a self-supervised model …

GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification

2020-07-09 · International Joint Conference on Artificial Intelligence 2020 7 · Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou 외

Sleep stage classification is essential for sleep assessment and disease diagnosis. However, how to effectively utilize brain spatial features and transition information among sleep stages continues to be challenging. In…

Automatic Sleep Stage Classification Classification EEG Electroencephalogram (EEG)+2

Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage

2023-02-17 · Iksoo Choi, Wonyong Sung

As sleep disorders are becoming more prevalent there is an urgent need to classify sleep stages in a less disturbing way.In particular, sleep-stage classification using simple sensors, such as single-channel electroencep…

Classification EEG Electrocardiography (ECG)Electroencephalogram (EEG)+2

End-to-End Automatic Sleep Stage Classification Using Spectral-Temporal Sleep Features

2020-05-04 · Hyeong-Jin Kim, Minji Lee, Seong-Whan Lee

Sleep disorder is one of many neurological diseases that can affect greatly the quality of daily life. It is very burdensome to manually classify the sleep stages to detect sleep disorders. Therefore, the automatic sleep…

Automatic Sleep Stage Classification Classification General Classification Sleep Staging