Статті в журналах з теми "Sleep Scoring Algorithms"
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Piccini, Jacopo, Elias August, Sami Leon Noel Aziz Hanna, Tiina Siilak, and Erna Sif Arnardóttir. "Automatic Detection of Electrodermal Activity Events during Sleep." Signals 4, no. 4 (December 18, 2023): 877–91. http://dx.doi.org/10.3390/signals4040048.
Повний текст джерелаBiegański, Piotr, Anna Stróż, Marian Dovgialo, Anna Duszyk-Bogorodzka, and Piotr Durka. "On the Unification of Common Actigraphic Data Scoring Algorithms." Sensors 21, no. 18 (September 21, 2021): 6313. http://dx.doi.org/10.3390/s21186313.
Повний текст джерелаKim, Myeong Seok, Tae Kyoung Ha, Ho Dong Lee, and Young Jun Lee. "0945 A Robust Hybrid algorithm for automatic respiratory events scoring in adults." SLEEP 46, Supplement_1 (May 1, 2023): A417. http://dx.doi.org/10.1093/sleep/zsad077.0945.
Повний текст джерелаChakraborty, Sabyasachi, Satyabrata Aich, and Hee-Cheol Kim. "A Novel Sleep Scoring Algorithm-Based Framework and Sleep Pattern Analysis Using Machine Learning Techniques." International Journal of System Dynamics Applications 10, no. 3 (July 2021): 1–20. http://dx.doi.org/10.4018/ijsda.2021070101.
Повний текст джерелаMagalang, Ulysses, Brendan Keenan, Bethany Staley, Peter Anderer, Marco Ross, Andreas Cerny, Raymond Vasko, Samuel Kuna, and Jessie Bakker. "251 Agreement and reliability of a new polysomnography sleep staging algorithm against multiple human scorers." Sleep 44, Supplement_2 (May 1, 2021): A101. http://dx.doi.org/10.1093/sleep/zsab072.250.
Повний текст джерелаMagalang, Ulysses, Brendan Keenan, Bethany Staley, Marco Ross, Peter Anderer, Andreas Cerny, Raymond Vasko, Samuel Kuna, and Jessie Bakker. "398 Agreement and reliability of a new respiratory event and arousal detection algorithm against multiple human scorers." Sleep 44, Supplement_2 (May 1, 2021): A158. http://dx.doi.org/10.1093/sleep/zsab072.397.
Повний текст джерелаHanif, Umaer, Guillaume Jubien, Alyssa Cairns, Tammie Radke, and Vincent Mysliwiec. "1078 Performance of USleep Algorithm to a Better Than “Gold-Standard” Polysomnogram Validation Data Set." SLEEP 47, Supplement_1 (April 20, 2024): A463. http://dx.doi.org/10.1093/sleep/zsae067.01078.
Повний текст джерелаCho, Taeheum, Unang Sunarya, Minsoo Yeo, Bosun Hwang, Yong Seo Koo, and Cheolsoo Park. "Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy." Electronics 8, no. 12 (December 2, 2019): 1461. http://dx.doi.org/10.3390/electronics8121461.
Повний текст джерелаHutchison, Stephen, Michael Grandner, Zohar Bromberg, Zoe Morrell, Arnulf Graf, and Dustin Freckleton. "0101 Performance of a Multisensor Ring to Evaluate Sleep At-Home Relative to PSG and Actigraphy: Importance of Generalized Versus Personalized Scoring." Sleep 45, Supplement_1 (May 25, 2022): A45—A46. http://dx.doi.org/10.1093/sleep/zsac079.099.
Повний текст джерелаStanus, E., B. Lacroix, M. Kerkhofs, and J. Mendlewicz. "Automated sleep scoring: a comparative reliability study of two algorithms." Electroencephalography and Clinical Neurophysiology 66, no. 4 (April 1987): 448–56. http://dx.doi.org/10.1016/0013-4694(87)90214-8.
Повний текст джерелаWang, Jiayi, Jacob Sindorf, Pin-Wei Chen, Jessica Wu, Adrian Gonzales, McKenzie Mattison, Amy Nguyen, et al. "1015 Evaluation of Actigraphy Sensors: Detecting Daytime Sleep After Stroke in an Inpatient Rehabilitation Hospital." SLEEP 47, Supplement_1 (April 20, 2024): A436—A437. http://dx.doi.org/10.1093/sleep/zsae067.01015.
Повний текст джерелаToban, Gabriel, Khem Poudel, and Don Hong. "REM Sleep Stage Identification with Raw Single-Channel EEG." Bioengineering 10, no. 9 (September 11, 2023): 1074. http://dx.doi.org/10.3390/bioengineering10091074.
Повний текст джерелаBechny, M., L. Fiorillo, G. Monachino, J. van der Meer, M. H. Schmidt, C. L. A. Bassetti, A. Tzovara, and F. D. Faraci. "Do state-of-the-art sleep-scoring algorithms preserve clinical information?" Sleep Medicine 115 (February 2024): 406. http://dx.doi.org/10.1016/j.sleep.2023.11.1091.
Повний текст джерелаKuo, C., and G. Chen. "0441 An Automatic Sleep Scoring System Based on Ensemble Convolutional Neural Network and Spectrogram of Sleep Physiological Signal." Sleep 43, Supplement_1 (April 2020): A169. http://dx.doi.org/10.1093/sleep/zsaa056.438.
Повний текст джерелаAlvarez-Estevez, Diego, and Roselyne M. Rijsman. "Inter-database validation of a deep learning approach for automatic sleep scoring." PLOS ONE 16, no. 8 (August 16, 2021): e0256111. http://dx.doi.org/10.1371/journal.pone.0256111.
Повний текст джерелаDimitrov, T. S., M. He, and M. J. Prerau. "0449 Characterizing Spindle Activity as a Time-Frequency Phenomenon." Sleep 43, Supplement_1 (April 2020): A172. http://dx.doi.org/10.1093/sleep/zsaa056.446.
Повний текст джерелаBouchequet, P., D. Leger, M. Lebrun, and M. Elbaz. "0442 Experimenting Automatic Sleep Analysis Application in a Clinical Context." Sleep 43, Supplement_1 (April 2020): A169—A170. http://dx.doi.org/10.1093/sleep/zsaa056.439.
Повний текст джерелаLabrada, Alexei, Elsa Santos Febles, and José Manuel Antelo. "Comparison of Automatic Sleep Stage Classification Methods for Clinical Use." Global Clinical Engineering Journal 5, no. 1 (June 1, 2022): 8–17. http://dx.doi.org/10.31354/globalce.v5i1.125.
Повний текст джерелаChan, Alexander, Ahmet Cakir, David Josephs, Dave Kleinschmidt, Jay Pathmanathan, and Jacob Donoghue. "1079 Robust Automated Sleep Staging Using Only EEG Signals." SLEEP 47, Supplement_1 (April 20, 2024): A463—A464. http://dx.doi.org/10.1093/sleep/zsae067.01079.
Повний текст джерелаGrassi, Massimiliano, Daniela Caldirola, Silvia Daccò, Giampaolo Perna, and Archie Defillo. "253 Better and faster automatic sleep staging with artificial intelligence." Sleep 44, Supplement_2 (May 1, 2021): A102. http://dx.doi.org/10.1093/sleep/zsab072.252.
Повний текст джерелаS G, Shashank. "Sleep Disorder Detection Using EEG Signals." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 22, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem34611.
Повний текст джерелаS, Lydia Pradeepa. "Sleeping Stage Classification Using CNN." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (May 31, 2024): 1070–77. http://dx.doi.org/10.22214/ijraset.2024.61348.
Повний текст джерелаSayeed, Fahad, Justin Brooks, and Nilanjan Banerjee. "0270 Obstructive Sleep Apnea detection using ECG morphology and Machine Learning." SLEEP 46, Supplement_1 (May 1, 2023): A120. http://dx.doi.org/10.1093/sleep/zsad077.0270.
Повний текст джерелаHaghayegh, S., S. Khoshnevis, M. H. Smolensky, K. R. Diller, and R. J. Castriotta. "1196 Machine Learning Derived-Interpretative Algorithm Better Differentiates Sleep and Wake Epochs and Estimates Sleep Parameters from Wrist Actigraphy Data." Sleep 43, Supplement_1 (April 2020): A457—A458. http://dx.doi.org/10.1093/sleep/zsaa056.1190.
Повний текст джерелаThorey, V., A. Guillot, K. El Kanbi, M. Harris, and P. J. Arnal. "1211 Assessing the Accuracy of a Dry-EEG Headband for Measuring Brain Activity, Heart Rate, Breathing and Automatic Sleep Staging." Sleep 43, Supplement_1 (April 2020): A463. http://dx.doi.org/10.1093/sleep/zsaa056.1205.
Повний текст джерелаElMoaqet, Hisham, Jungyoon Kim, Dawn Tilbury, Satya Krishna Ramachandran, Mutaz Ryalat, and Chao-Hsien Chu. "Gaussian Mixture Models for Detecting Sleep Apnea Events Using Single Oronasal Airflow Record." Applied Sciences 10, no. 21 (November 6, 2020): 7889. http://dx.doi.org/10.3390/app10217889.
Повний текст джерелаPeker, Musa. "An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms." Neurocomputing 207 (September 2016): 165–77. http://dx.doi.org/10.1016/j.neucom.2016.04.049.
Повний текст джерелаCoppieters ’t Wallant, Dorothée, Pierre Maquet, and Christophe Phillips. "Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods." Neural Plasticity 2016 (2016): 1–19. http://dx.doi.org/10.1155/2016/6783812.
Повний текст джерелаYaghouby, Farid, Bruce F. O’Hara, and Sridhar Sunderam. "Unsupervised Estimation of Mouse Sleep Scores and Dynamics Using a Graphical Model of Electrophysiological Measurements." International Journal of Neural Systems 26, no. 04 (April 27, 2016): 1650017. http://dx.doi.org/10.1142/s0129065716500179.
Повний текст джерелаQuante, Mirja, Emily R. Kaplan, Michael Cailler, Michael Rueschman, Rui Wang, Jia Weng, Elsie M. Taveras, and Susan Redline. "Actigraphy-based sleep estimation in adolescents and adults: a comparison with polysomnography using two scoring algorithms." Nature and Science of Sleep Volume 10 (January 2018): 13–20. http://dx.doi.org/10.2147/nss.s151085.
Повний текст джерелаGu, Wenbo, Peter Wu, Arthur Liu, Wen-Te Liu, Yi-Chun Kuan, Hsin-Chien Lee, Lydia Leung, I.-Chen Wu, and Ambrose Chiang. "0517 Integrating Body Sensor into a Wearable Platform to Enhance the Identification of Central and Mixed Apneas." SLEEP 47, Supplement_1 (April 20, 2024): A222. http://dx.doi.org/10.1093/sleep/zsae067.0517.
Повний текст джерелаMostafa, Mendonça, Ravelo-García, and Morgado-Dias. "A Systematic Review of Detecting Sleep Apnea Using Deep Learning." Sensors 19, no. 22 (November 12, 2019): 4934. http://dx.doi.org/10.3390/s19224934.
Повний текст джерелаRicketti, P., D. Schwartz, K. Calero, W. Anderson, C. Diaz-Sein, M. Rechkemmer, K. Bell, M. Dahdad, and R. Nakase-Richardson. "1031 A Multicenter Study Examining Two Scoring Algorithms for Diagnosis of Obstructive Sleep Apnea (OSA) in an Acute Neurorehabilitation Population with Traumatic Brain Injury (TBI)." Sleep 41, suppl_1 (April 2018): A383. http://dx.doi.org/10.1093/sleep/zsy061.1030.
Повний текст джерелаKim, Dongyoung, Jeonggun Lee, Yunhee Woo, Jaemin Jeong, Chulho Kim, and Dong-Kyu Kim. "Deep Learning Application to Clinical Decision Support System in Sleep Stage Classification." Journal of Personalized Medicine 12, no. 2 (January 20, 2022): 136. http://dx.doi.org/10.3390/jpm12020136.
Повний текст джерелаNollet, Mathieu, William Wisden, and Nicholas P. Franks. "Sleep deprivation and stress: a reciprocal relationship." Interface Focus 10, no. 3 (April 17, 2020): 20190092. http://dx.doi.org/10.1098/rsfs.2019.0092.
Повний текст джерелаHannan, Sana, Alyssa Ho, and Birgit Frauscher. "Clinical Utility of Sleep Recordings During Presurgical Epilepsy Evaluation With Stereo-Electroencephalography: A Systematic Review." Journal of Clinical Neurophysiology 41, no. 5 (July 2024): 430–43. http://dx.doi.org/10.1097/wnp.0000000000001057.
Повний текст джерелаSuliman, Ahmad, Md Rakibul Mowla, Alaleh Alivar, Charles Carlson, Punit Prakash, Balasubramaniam Natarajan, Steve Warren, and David E. Thompson. "Effects of Ballistocardiogram Peak Detection Jitters on the Quality of Heart Rate Variability Features: A Simulation-Based Case Study in the Context of Sleep Staging." Sensors 23, no. 5 (March 1, 2023): 2693. http://dx.doi.org/10.3390/s23052693.
Повний текст джерелаKorotun, M., L. Weizman, A. Drori, J. Zaccaria, T. Goldstein, I. Litman, S. Hahn, and H. Greenberg. "0584 Detecting Sleep Disordered Breathing Using Sub-Terahertz Radio-Frequency Micro-Radar." Sleep 43, Supplement_1 (April 2020): A224. http://dx.doi.org/10.1093/sleep/zsaa056.581.
Повний текст джерелаChien, Ying-Ren, Cheng-Hsuan Wu, and Hen-Wai Tsao. "Automatic Sleep-Arousal Detection with Single-Lead EEG Using Stacking Ensemble Learning." Sensors 21, no. 18 (September 9, 2021): 6049. http://dx.doi.org/10.3390/s21186049.
Повний текст джерелаJilani, Shahla M., Chloe J. Jordan, Lauren M. Jansson, and Jonathan M. Davis. "Definitions of neonatal abstinence syndrome in clinical studies of mothers and infants: an expert literature review." Journal of Perinatology 41, no. 6 (January 29, 2021): 1364–71. http://dx.doi.org/10.1038/s41372-020-00893-8.
Повний текст джерелаThiesse, Laurie, Luc Staner, Patrice Bourgin, Henri Comtet, Gil Fuchs, Debora Kirscher, Thomas Roth, Jean Yves Schaffhauser, Jay B. Saoud, and Antoine U. Viola. "Somno-Art Software identifies pathology-induced changes in sleep parameters similarly to polysomnography." PLOS ONE 18, no. 10 (October 20, 2023): e0291593. http://dx.doi.org/10.1371/journal.pone.0291593.
Повний текст джерелаSharma, Manish, Jainendra Tiwari, Virendra Patel, and U. Rajendra Acharya. "Automated Identification of Sleep Disorder Types Using Triplet Half-Band Filter and Ensemble Machine Learning Techniques with EEG Signals." Electronics 10, no. 13 (June 25, 2021): 1531. http://dx.doi.org/10.3390/electronics10131531.
Повний текст джерелаHorger, Melissa, Allison Swift, Kyle Kainec, Jennifer Holmes, and Rebecca Spencer. "0204 Spindle Detection in Polysomnography of Toddlers: Comparing Manual Feature Detection and an Automated Algorithm." SLEEP 47, Supplement_1 (April 20, 2024): A88. http://dx.doi.org/10.1093/sleep/zsae067.0204.
Повний текст джерелаMcGovney, K. D., A. F. Curtis, M. Mazurek, W. S. Chan, C. B. Deroche, M. Munoz, M. Davenport, et al. "0922 Nightly Associations Between Pre-Bedtime Activity, Actigraphic Light, and Sleep in Children With ASD and Insomnia." Sleep 43, Supplement_1 (April 2020): A350—A351. http://dx.doi.org/10.1093/sleep/zsaa056.918.
Повний текст джерелаMendonça, Fábio, Sheikh Shanawaz Mostafa, Diogo Freitas, Fernando Morgado-Dias, and Antonio G. Ravelo-García. "Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection." Entropy 24, no. 5 (May 13, 2022): 688. http://dx.doi.org/10.3390/e24050688.
Повний текст джерелаStepnowsky, Carl, Tania Zamora, Robert Barker, Lin Liu, and Kathleen Sarmiento. "Accuracy of Positive Airway Pressure Device—Measured Apneas and Hypopneas: Role in Treatment Followup." Sleep Disorders 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/314589.
Повний текст джерелаGalaska, B., J. M. Bakker, F. Sert Kuniyoshi, M. Bush, J. Salazar, J. G. Jasko, A. L. Friedman, and D. P. White. "1191 Development of a Clinically-Validated Questionnaire and Scoring Algorithm Designed to Identify Common Sleep Problems Among Adults." Sleep 43, Supplement_1 (April 2020): A456. http://dx.doi.org/10.1093/sleep/zsaa056.1185.
Повний текст джерелаHelland, V. C., A. Gapelyuk, A. Suhrbier, M. Riedl, T. Penzel, J. Kurths, and N. Wessel. "Investigation of an Automatic Sleep Stage Classification by Means of Multiscorer Hypnogram." Methods of Information in Medicine 49, no. 05 (2010): 467–72. http://dx.doi.org/10.3414/me09-02-0052.
Повний текст джерелаSvetnik, V., T. Wang, Y. Xu, B. J. Hansen, and S. V. Fox. "0432 A Deep Learning Approach for Automated Sleep-Wake Scoring in Pre-Clinical Animal Models." Sleep 43, Supplement_1 (April 2020): A166. http://dx.doi.org/10.1093/sleep/zsaa056.429.
Повний текст джерелаCho, Jae Hoon, Ji Ho Choi, Ji Eun Moon, Young Jun Lee, Ho Dong Lee, and Tae Kyoung Ha. "Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm." Medicina 58, no. 6 (June 9, 2022): 779. http://dx.doi.org/10.3390/medicina58060779.
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