Results 151 to 160 of about 187,501 (315)

Deep Learning Automatic Sleep Staging Method Based on Multidimensional Sleep Data

IEEE Access
Polysomnography (PSG) is commonly used to diagnose sleep disorders. However, manual sleep staging is a time-consuming task due to high human effort and technical thresholds, and it involves certain subjective factors.
Jian Yang, Yao Meng, Qian Cheng, Huafei Li, Wenpeng Cai, Tengjiao Wang   +5 more
doaj   +1 more source

Sleep stage transition and changes in autonomic function in newborn infants [PDF]

, 2000
K. Goto, Keisuke Sato, Tatsuro Izumi
openalex   +1 more source

Novel Electroactive Therapeutic Platforms for Cardiac Arrhythmia Management

Advanced Science, EarlyView.
Electroactive platforms offer promising applications in cardiac arrhythmia. Based on their energy sources and mechanisms, electroactive platforms are categorized into i) direct electrical stimulation, ii) self‐powered electroactive systems, iii) physical stimuli‐mediated electroactive systems, and iv) conductive systems, and their applications in ...
Juwei Yang, Longfei Li, Yiran Hu, Zhou Li, Wei Hua   +4 more
wiley   +1 more source

Exploration of sleep function connection and classification strategies based on sub-period sleep stages. [PDF]

Front Neurosci, 2022
Xu F, Zhao J, Liu M, Yu X, Wang C, Lou Y, Shi W, Liu Y, Gao L, Yang Q, Zhang B, Lu S, Tang J, Leng J.   +13 more
europepmc   +1 more source

Sleep Stage Classification Through HRV, Complexity Measures, and Heart Rate Asymmetry Using Generalized Estimating Equations Models

Entropy
This study investigates whether heart rate asymmetry (HRA) parameters offer insights into sleep stages beyond those provided by conventional heart rate variability (HRV) and complexity measures.
Bartosz Biczuk, Sebastian Żurek, Szymon Jurga, Elżbieta Turska, Przemysław Guzik, Jarosław Piskorski   +5 more
doaj   +1 more source

EEG Polygraphic Sleep Study in Divers under a 31 ATA He-O₂ Environment with Special Reference to the Automated Analysis or Sleep Stages

, 1986
Shigeaki Matsuoka, Katsuhiro INOUE, Shinya Okuda, Tadahiro ISHIKAWA, Hwa-Dong LEE, Motohiko Mouri   +5 more
openalex   +2 more sources

Biological data and clinical symptoms as predictors of astrogliosis and neurodegeneration in patients with second-stage Trypanosoma brucei gambiense sleeping sickness. [PDF]

, 2001
Veerle Lejon, Dominique Legros, Lars Rosengren, Jean‐Philippe Gastellu‐Etchegorry, Philippe Büscher   +4 more
openalex   +1 more source

Generation of Neural Organoids and Their Application in Disease Modeling and Regenerative Medicine

Advanced Science, EarlyView.
Neural organoids provide a versatile platform for neurological research. Advances in organoid technology have partially achieved human neural tissue complexity in terms of tissue structure, cell diversity, and neural signaling, offering insights into neural disorders and regenerative strategies. Technology advances from biomaterials, bio‐manufacturing,
Ruiqi Huang, Feng Gao, Liqun Yu, Haokun Chen, Rongrong Zhu   +4 more
wiley   +1 more source

An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNet [PDF]

arXiv
Sleep quality directly impacts human health and quality of life, so accurate sleep staging is essential for assessing sleep quality. However, most traditional methods are inefficient and time-consuming due to segmenting different sleep cycles by manual labeling.
arxiv  

A Holistic Strategy for Classification of Sleep Stages with EEG. [PDF]

Sensors (Basel), 2022
Prabhakar SK, Rajaguru H, Ryu S, Jeong IC, Won DO.   +4 more
europepmc   +1 more source