An accurate automated sleep scoring system is a very useful tool for research in sleep laboratories such as the one at SRI International headed by Dr. Thomas Kilduff. Based on previous research and the knowledge of many sleep experts, we use pattern recognition techniques to implement a flexible system to train classifiers. We assess which kind of classifier performs best, how accurate the scoring of different states is and how flexible the system is
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
Background: Scoring of wake-sleep states by trained investigators is a time-consuming task in many s...
Accurate behavioral state classification is critical for many research applications. Researchers typ...
Sleep research carried out on rat and mouse model led to the publication of more than 5000 papers in...
Accurately determining the sleep stage of experimental subjects is a key step in sleep research. Des...
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
Sleep-stage analysis in mice and rats has received growing attention in recent years, due to the fac...
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
A computerized sleep-wake classification program is presented that is capable of classifying sleep-w...
Sleep scoring is a diagnosis tool used for medical research. Using electroencefalography (EEG) a res...
International audienceSTUDY OBJECTIVE:This study was designed to evaluate an unsupervised adaptive a...
In today’s society, Artifical Intelligence (AI) has become one of the most controversial research to...
Sleep scoring is the process that medical researchers use to analyze the sleep of a subject. By look...
Sleep staging is the use of electrophysiological signals to determine the quality and architecture o...
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
Background: Scoring of wake-sleep states by trained investigators is a time-consuming task in many s...
Accurate behavioral state classification is critical for many research applications. Researchers typ...
Sleep research carried out on rat and mouse model led to the publication of more than 5000 papers in...
Accurately determining the sleep stage of experimental subjects is a key step in sleep research. Des...
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
Sleep-stage analysis in mice and rats has received growing attention in recent years, due to the fac...
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
A computerized sleep-wake classification program is presented that is capable of classifying sleep-w...
Sleep scoring is a diagnosis tool used for medical research. Using electroencefalography (EEG) a res...
International audienceSTUDY OBJECTIVE:This study was designed to evaluate an unsupervised adaptive a...
In today’s society, Artifical Intelligence (AI) has become one of the most controversial research to...
Sleep scoring is the process that medical researchers use to analyze the sleep of a subject. By look...
Sleep staging is the use of electrophysiological signals to determine the quality and architecture o...
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing soft...
Background: Scoring of wake-sleep states by trained investigators is a time-consuming task in many s...
Accurate behavioral state classification is critical for many research applications. Researchers typ...