201 related articles for article (PubMed ID: 25710495)
1. Sleep-wake evaluation from whole-night non-contact audio recordings of breathing sounds.
Dafna E; Tarasiuk A; Zigel Y
PLoS One; 2015; 10(2):e0117382. PubMed ID: 25710495
[TBL] [Abstract][Full Text] [Related]
2. Automatic detection of whole night snoring events using non-contact microphone.
Dafna E; Tarasiuk A; Zigel Y
PLoS One; 2013; 8(12):e84139. PubMed ID: 24391903
[TBL] [Abstract][Full Text] [Related]
3. Estimation of macro sleep stages from whole night audio analysis.
Dafna E; Halevi M; Ben Or D; Tarasiuk A; Zigel Y
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():2847-2850. PubMed ID: 28268910
[TBL] [Abstract][Full Text] [Related]
4. Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults.
Fonseca P; Weysen T; Goelema MS; Møst EIS; Radha M; Lunsingh Scheurleer C; van den Heuvel L; Aarts RM
Sleep; 2017 Jul; 40(7):. PubMed ID: 28838130
[TBL] [Abstract][Full Text] [Related]
5. Sleep staging using nocturnal sound analysis.
Dafna E; Tarasiuk A; Zigel Y
Sci Rep; 2018 Sep; 8(1):13474. PubMed ID: 30194402
[TBL] [Abstract][Full Text] [Related]
6. Estimating sleep parameters using nasal pressure signals applicable to continuous positive airway pressure devices.
Park JU; Erdenebayar U; Joo EY; Lee KJ
Physiol Meas; 2017 Jun; 38(7):1441-1455. PubMed ID: 28489018
[TBL] [Abstract][Full Text] [Related]
7. Sleep-quality assessment from full night audio recordings of sleep apnea patients.
Dafna E; Tarasiuk A; Zigel Y
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():3660-3. PubMed ID: 23366721
[TBL] [Abstract][Full Text] [Related]
8. Automated sleep stage classification based on tracheal body sound and actigraphy.
Kalkbrenner C; Brucher R; Kesztyüs T; Eichenlaub M; Rottbauer W; Scharnbeck D
Ger Med Sci; 2019; 17():Doc02. PubMed ID: 30996721
[TBL] [Abstract][Full Text] [Related]
9. Electro-oculography-based detection of sleep-wake in sleep apnea patients.
Virkkala J; Toppila J; Maasilta P; Bachour A
Sleep Breath; 2015 Sep; 19(3):785-9. PubMed ID: 25269754
[TBL] [Abstract][Full Text] [Related]
10. Validation of the Munich Actimetry Sleep Detection Algorithm for estimating sleep-wake patterns from activity recordings.
Loock AS; Khan Sullivan A; Reis C; Paiva T; Ghotbi N; Pilz LK; Biller AM; Molenda C; Vuori-Brodowski MT; Roenneberg T; Winnebeck EC
J Sleep Res; 2021 Dec; 30(6):e13371. PubMed ID: 33960551
[TBL] [Abstract][Full Text] [Related]
11. Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography.
Marino M; Li Y; Rueschman MN; Winkelman JW; Ellenbogen JM; Solet JM; Dulin H; Berkman LF; Buxton OM
Sleep; 2013 Nov; 36(11):1747-55. PubMed ID: 24179309
[TBL] [Abstract][Full Text] [Related]
12. Tracheal Sound Analysis Using a Deep Neural Network to Detect Sleep Apnea.
Nakano H; Furukawa T; Tanigawa T
J Clin Sleep Med; 2019 Aug; 15(8):1125-1133. PubMed ID: 31482834
[TBL] [Abstract][Full Text] [Related]
13. A validation study of Fitbit Charge 2™ compared with polysomnography in adults.
de Zambotti M; Goldstone A; Claudatos S; Colrain IM; Baker FC
Chronobiol Int; 2018 Apr; 35(4):465-476. PubMed ID: 29235907
[TBL] [Abstract][Full Text] [Related]
14. Validation of Contact-Free Sleep Monitoring Device with Comparison to Polysomnography.
Tal A; Shinar Z; Shaki D; Codish S; Goldbart A
J Clin Sleep Med; 2017 Mar; 13(3):517-522. PubMed ID: 27998378
[TBL] [Abstract][Full Text] [Related]
15. Validation of the Sleep-Wake Scoring of a New Wrist-Worn Sleep Monitoring Device.
Pigeon WR; Taylor M; Bui A; Oleynk C; Walsh P; Bishop TM
J Clin Sleep Med; 2018 Jun; 14(6):1057-1062. PubMed ID: 29852899
[TBL] [Abstract][Full Text] [Related]
16. Breathing rate estimation during sleep using audio signal analysis.
Dafna E; Rosenwein T; Tarasiuk A; Zigel Y
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():5981-4. PubMed ID: 26737654
[TBL] [Abstract][Full Text] [Related]
17. Algorithms for using an activity-based accelerometer for identification of infant sleep-wake states during nap studies.
Galland BC; Kennedy GJ; Mitchell EA; Taylor BJ
Sleep Med; 2012 Jun; 13(6):743-51. PubMed ID: 22542788
[TBL] [Abstract][Full Text] [Related]
18. Comparison of a Commercial Accelerometer with Polysomnography and Actigraphy in Children and Adolescents.
Meltzer LJ; Hiruma LS; Avis K; Montgomery-Downs H; Valentin J
Sleep; 2015 Aug; 38(8):1323-30. PubMed ID: 26118555
[TBL] [Abstract][Full Text] [Related]
19. Performance Evaluation of a Smart Bed Technology against Polysomnography.
Siyahjani F; Garcia Molina G; Barr S; Mushtaq F
Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408220
[TBL] [Abstract][Full Text] [Related]
20. Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs.
Svensson T; Madhawa K; Nt H; Chung UI; Svensson AK
Sleep Med; 2024 Mar; 115():251-263. PubMed ID: 38382312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
