To analyze the humans’ sleep it is necessary as to identify the sleep stages, occurring during the sleep, their durations and sleep cycles. The gold standard procedure for this approach is polysomnography (PSG), which classify the sleep stages based on Rechtschaffen and Kales (R-K) method. This method aside the advantages as high accuracy has however some disadvantages, among others time-consuming and uncomfortable for the patient procedure. Therefore, the development of further methods for the sleep classification in addition to PSG is a promising topic for the investigation and this work has as its aim the presentation of possible ways and goals for this development
The recommendations for identifying sleep stages based on the interpretation of electrophysiological...
Sleep disorders are early markers of various serious diseases that can be treated moreeffectively wh...
International audienceThis paper focuses on the problem of selecting relevant features extracted fro...
To assess the quality of a person’s sleep, it is essential to examine the sleep behaviour by identif...
This work deals with the basic description of polysomnography, sleep morphology and sleep stages. Fu...
The bachelor thesis deals with the description of polysomnography, electroencephalography, electrooc...
This bachelor thesis deals with analysis of polysomnography and its methods of measurement in electr...
Aim of this thesis is the classification of polysomnographic data. The first part of the thesis is a...
This work is focused on classification of sleep phases using artificial neural network. The unconven...
This master thesis deals with classification of sleep stages on the base of polysomnographic signals...
OBJECTIVES: Scoring sleep visually based on polysomnography is an important but time-consuming eleme...
The thesis is focused on automatic classification of polysomnographic signals based on various param...
Polysomnography (PSG) is considered the gold standard to assess sleep accurately, but it can be expe...
International audienceManual sleep scoring is a time-consuming task that requires a high level of me...
To evaluate the quality of a person´s sleep it is essential to identify the sleep stages and their d...
The recommendations for identifying sleep stages based on the interpretation of electrophysiological...
Sleep disorders are early markers of various serious diseases that can be treated moreeffectively wh...
International audienceThis paper focuses on the problem of selecting relevant features extracted fro...
To assess the quality of a person’s sleep, it is essential to examine the sleep behaviour by identif...
This work deals with the basic description of polysomnography, sleep morphology and sleep stages. Fu...
The bachelor thesis deals with the description of polysomnography, electroencephalography, electrooc...
This bachelor thesis deals with analysis of polysomnography and its methods of measurement in electr...
Aim of this thesis is the classification of polysomnographic data. The first part of the thesis is a...
This work is focused on classification of sleep phases using artificial neural network. The unconven...
This master thesis deals with classification of sleep stages on the base of polysomnographic signals...
OBJECTIVES: Scoring sleep visually based on polysomnography is an important but time-consuming eleme...
The thesis is focused on automatic classification of polysomnographic signals based on various param...
Polysomnography (PSG) is considered the gold standard to assess sleep accurately, but it can be expe...
International audienceManual sleep scoring is a time-consuming task that requires a high level of me...
To evaluate the quality of a person´s sleep it is essential to identify the sleep stages and their d...
The recommendations for identifying sleep stages based on the interpretation of electrophysiological...
Sleep disorders are early markers of various serious diseases that can be treated moreeffectively wh...
International audienceThis paper focuses on the problem of selecting relevant features extracted fro...