These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
146 related articles for article (PubMed ID: 31811401)
1. Multi-Class Classification of Sleep Apnea/Hypopnea Events Based on Long Short-Term Memory Using a Photoplethysmography Signal. Kang CH; Erdenebayar U; Park JU; Lee KJ J Med Syst; 2019 Dec; 44(1):14. PubMed ID: 31811401 [TBL] [Abstract][Full Text] [Related]
2. Automatic classification of apnea/hypopnea events through sleep/wake states and severity of SDB from a pulse oximeter. Park JU; Lee HK; Lee J; Urtnasan E; Kim H; Lee KJ Physiol Meas; 2015 Sep; 36(9):2009-25. PubMed ID: 26261097 [TBL] [Abstract][Full Text] [Related]
3. Development of a sleep apnea event detection method using photoplethysmography. Suzuki T; Kameyama K; Inoko Y; Tamura T Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5258-61. PubMed ID: 21096051 [TBL] [Abstract][Full Text] [Related]
4. An LSTM Network for Apnea and Hypopnea Episodes Detection in Respiratory Signals. Drzazga J; Cyganek B Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502748 [TBL] [Abstract][Full Text] [Related]
5. Central Sleep Apnea Detection by Means of Finger Photoplethysmography. Massie F; Vits S; Khachatryan A; Van Pee B; Verbraecken J; Bergmann J IEEE J Transl Eng Health Med; 2023; 11():126-136. PubMed ID: 36704242 [TBL] [Abstract][Full Text] [Related]
6. Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning. Van Steenkiste T; Groenendaal W; Dreesen P; Lee S; Klerkx S; de Francisco R; Deschrijver D; Dhaene T IEEE J Biomed Health Inform; 2020 Sep; 24(9):2589-2598. PubMed ID: 31976919 [TBL] [Abstract][Full Text] [Related]
7. Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals. ElMoaqet H; Eid M; Glos M; Ryalat M; Penzel T Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32899819 [TBL] [Abstract][Full Text] [Related]
8. Sleep Apnea Prediction Using Deep Learning. Wang E; Koprinska I; Jeffries B IEEE J Biomed Health Inform; 2023 Nov; 27(11):5644-5654. PubMed ID: 37669207 [TBL] [Abstract][Full Text] [Related]
9. Study of the relationship between pulse photoplethysmography amplitude decrease events and sleep apneas in children. Gil E; Vergara JM; Laguna P Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():3887-90. PubMed ID: 17945811 [TBL] [Abstract][Full Text] [Related]
10. In obstructive sleep apnea patients, automatic determination of respiratory arrests by photoplethysmography signal and heart rate variability. Bozkurt MR; Uçar MK; Bozkurt F; Bilgin C Australas Phys Eng Sci Med; 2019 Dec; 42(4):959-979. PubMed ID: 31515685 [TBL] [Abstract][Full Text] [Related]
11. BI - Directional long short-term memory for automatic detection of sleep apnea events based on single channel EEG signal. Wang Y; Xiao Z; Fang S; Li W; Wang J; Zhao X Comput Biol Med; 2022 Mar; 142():105211. PubMed ID: 35007944 [TBL] [Abstract][Full Text] [Related]
12. [Diagnosis of obstructive sleep apnea syndrome using pulse oximeter derived photoplethysmographic signals]. Pan H; Huang GP; Ren R; Lei F; Tang XD Zhonghua Yi Xue Za Zhi; 2016 May; 96(19):1527-9. PubMed ID: 27266501 [TBL] [Abstract][Full Text] [Related]
13. Proposal for a Home Sleep Monitoring Platform Employing a Smart Glove. Lazazzera R; Laguna P; Gil E; Carrault G Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883979 [TBL] [Abstract][Full Text] [Related]
14. Validation of a photoplethysmography device for detection of obstructive sleep apnea in the perioperative setting. Faßbender P; Haddad A; Bürgener S; Peters J J Clin Monit Comput; 2019 Apr; 33(2):341-345. PubMed ID: 29749570 [TBL] [Abstract][Full Text] [Related]
15. Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram. Erdenebayar U; Kim YJ; Park JU; Joo EY; Lee KJ Comput Methods Programs Biomed; 2019 Oct; 180():105001. PubMed ID: 31421606 [TBL] [Abstract][Full Text] [Related]
16. Sleep Apnea and Hypopnea Events Detection Based on Airflow Signals Using LSTM Network. Yang W; Fan J; Wang X; Liao Q Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2576-2579. PubMed ID: 31946423 [TBL] [Abstract][Full Text] [Related]
17. Detection of respiratory arousals using photoplethysmography (PPG) signal in sleep apnea patients. Karmakar C; Khandoker A; Penzel T; Schöbel C; Palaniswami M IEEE J Biomed Health Inform; 2014 May; 18(3):1065-73. PubMed ID: 24108482 [TBL] [Abstract][Full Text] [Related]
18. Automated prediction of apnea and hypopnea, using a LAMSTAR artificial neural network. Waxman JA; Graupe D; Carley DW Am J Respir Crit Care Med; 2010 Apr; 181(7):727-33. PubMed ID: 20019342 [TBL] [Abstract][Full Text] [Related]
19. Multiscale Bidirectional Temporal Convolutional Network for Sleep Apnea Detection Based on Wearable Photoplethysmography Bracelet. Zou L; Liu G IEEE J Biomed Health Inform; 2024 Mar; 28(3):1331-1340. PubMed ID: 37991905 [TBL] [Abstract][Full Text] [Related]
20. Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks. Vaquerizo-Villar F; Alvarez D; Kraemer JF; Wessel N; Gutierrez-Tobal GC; Calvo E; Del Campo F; Kheirandish-Gozal L; Gozal D; Penzel T; Hornero R Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():216-219. PubMed ID: 34891275 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]