Dynamic functional connectivity states characterize NREM sleep and wakefulness
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24770
Abstract: According to recent neuroimaging studies, temporal fluctuations in functional connectivity patterns can be clustered into dynamic functional connectivity (DFC) states and correspond to fluctuations in vigilance. However, whether there consistently exist DFC states associated with… read more here.
Keywords: sleep stages; dfc states; dynamic functional; connectivity states ... See more keywords
EEG sleep stages identification based on weighted undirected complex networks
Sign Up to like & getrecommendations! Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105116
Abstract: BACKGROUND AND OBJECTIVE Sleep scoring is important in sleep research because any errors in the scoring of the patient's sleep electroencephalography (EEG) recordings can cause serious problems such as incorrect diagnosis, medication errors, and misinterpretations of… read more here.
Keywords: sleep stages; proposed method; weighted undirected; eeg sleep ... See more keywords
Deep convolutional neural network for classification of sleep stages from single-channel EEG signals
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.108312
Abstract: Using a smart method for automatic diagnosis in medical applications, such as sleep stage classification is considered as one of the important challenges of the last few years which can replace the time-consuming process of… read more here.
Keywords: classification; network; sleep stages; single channel ... See more keywords
Automatic two-channel sleep staging using a predictor-corrector method.
Sign Up to like & getrecommendations! Published in 2018 at "Physiological measurement"
DOI: 10.1088/1361-6579/aaa109
Abstract: OBJECTIVE We developed and implemented two predictor-corrector methods for the classification of two-channel EEG data into sleep stages. APPROACH The sequence of sleep stages over the night is modeled by a Markov chain of first… read more here.
Keywords: predictor corrector; two channel; sleep stages; automatic two ... See more keywords
Interbeat interval-based sleep staging: work in progress toward real-time implementation
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac5a78
Abstract: Objective. Cardiac activity changes during sleep enable real-time sleep staging. We developed a deep neural network (DNN) to detect sleep stages using interbeat intervals (IBIs) extracted from electrocardiogram signals. Approach. Data from healthy and apnea… read more here.
Keywords: sleep staging; sleep stages; time; real time ... See more keywords
285 Pilot field study of Ambulatory Sleep-Staging in Shift-Working Air Traffic Controllers
Sign Up to like & getrecommendations! Published in 2021 at "Sleep"
DOI: 10.1093/sleep/zsab072.284
Abstract: The simplicity of wrist actigraphy for sleep-wake monitoring in the field contributes to its ubiquity in shift-work research. However, devices based solely on recording activity levels are generally not suitable to quantify sleep architecture. This… read more here.
Keywords: field; pilot; night shifts; sleep stages ... See more keywords
344 Daridorexant Improves Total Sleep Time (TST) in Insomnia Patients Without Altering the Proportion of Sleep Stages
Sign Up to like & getrecommendations! Published in 2021 at "Sleep"
DOI: 10.1093/sleep/zsab072.343
Abstract: Daridorexant, a new dual orexin receptor antagonist, improved sleep parameters and daytime functioning in two pivotal Phase 3 trials in patients with insomnia (Trial-1, NCT03545191; Trial-2, NCT03575104); polysomnography data were collected at multiple timepoints from… read more here.
Keywords: placebo; tst; daridorexant; sleep stages ... See more keywords
An Accurate Sleep Stages Classification Method Based on State Space Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939038
Abstract: The classification of sleep stages is the process which helps to evaluate the quality of sleep and detect the sleep related disorders. Through analyzing the electroencephalography, the sleep stages can be discriminated manually by specialists.… read more here.
Keywords: model; method; state space; sleep stages ... See more keywords
Deep learning enables accurate automatic sleep staging based on ambulatory forehead EEG
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3154899
Abstract: We have previously developed an ambulatory electrode set (AES) for the measurement of electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG). The AES has been proven to be suitable for manual sleep staging and self-application in… read more here.
Keywords: sleep staging; sleep stages; deep learning; eeg ... See more keywords
A Smart Flexible Vital Signs and Sleep Monitoring Belt Based on MEMS Triaxial Accelerometer and Pressure Sensor
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3146926
Abstract: People spend about one third of their lifetime in sleep, and sleep quality has a great impact on people’s health. Therefore, vital signs and sleep quality monitoring are more and more important. In this article,… read more here.
Keywords: sleep stages; belt; monitoring belt; smart flexible ... See more keywords
Performance of a Convolutional Neural Network Derived From PPG Signal in Classifying Sleep Stages
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3219863
Abstract: Automatic sleep stage classification is vital for evaluating the quality of sleep. Conventionally, sleep is monitored using multiple physiological sensors that are uncomfortable for long-term monitoring and require expert intervention. In this study, we propose… read more here.
Keywords: sleep stages; neural network; classification; convolutional neural ... See more keywords