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Items: 1 to 20 of 55

1.

Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis.

Sun Y, de With PHN, Kommers D, Wang W, Joshi R, Shan C, Tan T, Aarts RM, van Pul C, Andriessen P.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:5995-5999. doi: 10.1109/EMBC.2019.8857597.

PMID:
31947213
2.

Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data.

Eerikainen LM, Bonomi AG, Schipper F, Dekker L, de Morree HM, Vullings R, Aarts RM.

IEEE J Biomed Health Inform. 2019 Nov 4. doi: 10.1109/JBHI.2019.2950574. [Epub ahead of print]

PMID:
31689222
3.

Sleep stage classification from heart-rate variability using long short-term memory neural networks.

Radha M, Fonseca P, Moreau A, Ross M, Cerny A, Anderer P, Long X, Aarts RM.

Sci Rep. 2019 Oct 2;9(1):14149. doi: 10.1038/s41598-019-49703-y.

4.

Automated preterm infant sleep staging using capacitive electrocardiography.

Werth J, Serteyn A, Andriessen P, Aarts RM, Long X.

Physiol Meas. 2019 Jun 4;40(5):055003. doi: 10.1088/1361-6579/ab1224.

PMID:
30897551
5.

Estimating blood pressure trends and the nocturnal dip from photoplethysmography.

Radha M, de Groot K, Rajani N, Wong CCP, Kobold N, Vos V, Fonseca P, Mastellos N, Wark PA, Velthoven N, Haakma R, Aarts RM.

Physiol Meas. 2019 Feb 26;40(2):025006. doi: 10.1088/1361-6579/ab030e.

PMID:
30699397
6.

Autonomic cardiac activity in adults with short and long sleep onset latency.

Nano MM, Fonseca P, Overeem S, Vullings R, Aarts RM.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:1448-1451. doi: 10.1109/EMBC.2018.8512534.

PMID:
30440665
7.

Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo-Plethysmography at the Wrist.

Bonomi AG, Schipper F, Eerikäinen LM, Margarito J, van Dinther R, Muesch G, de Morree HM, Aarts RM, Babaeizadeh S, McManus DD, Dekker LRC.

J Am Heart Assoc. 2018 Aug 7;7(15):e009351. doi: 10.1161/JAHA.118.009351.

8.

Comparison between electrocardiogram- and photoplethysmogram-derived features for atrial fibrillation detection in free-living conditions.

Eerikäinen LM, Bonomi AG, Schipper F, Dekker LRC, Vullings R, de Morree HM, Aarts RM.

Physiol Meas. 2018 Aug 8;39(8):084001. doi: 10.1088/1361-6579/aad2c0.

PMID:
29995641
9.

Finger and forehead photoplethysmography-derived pulse-pressure variation and the benefits of baseline correction.

Sun S, Peeters WH, Bezemer R, Long X, Paulussen I, Aarts RM, Noordergraaf GJ.

J Clin Monit Comput. 2019 Feb;33(1):65-75. doi: 10.1007/s10877-018-0140-5. Epub 2018 Apr 11.

10.

A comparison of probabilistic classifiers for sleep stage classification.

Fonseca P, den Teuling N, Long X, Aarts RM.

Physiol Meas. 2018 May 15;39(5):055001. doi: 10.1088/1361-6579/aabbc2.

PMID:
29620019
11.

Enhancement of the Comb Filtering Selectivity Using Iterative Moving Average for Periodic Waveform and Harmonic Elimination.

Ferreira JL, Wu Y, Aarts RM.

J Healthc Eng. 2018 Feb 1;2018:7901502. doi: 10.1155/2018/7901502. eCollection 2018.

12.

On algorithms for calculating arterial pulse pressure variation during major surgery.

Sun S, Peeters WH, Bezemer R, Long X, Paulussen I, Aarts RM, Noordergraaf GJ.

Physiol Meas. 2017 Nov 30;38(12):2101-2121. doi: 10.1088/1361-6579/aa95a4.

PMID:
29064375
13.

Measures of cardiovascular autonomic activity in insomnia disorder: A systematic review.

Nano MM, Fonseca P, Vullings R, Aarts RM.

PLoS One. 2017 Oct 23;12(10):e0186716. doi: 10.1371/journal.pone.0186716. eCollection 2017. Review.

14.

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 1;40(7). doi: 10.1093/sleep/zsx097.

PMID:
28838130
15.

EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures.

Wang L, Long X, Arends JBAM, Aarts RM.

J Neurosci Methods. 2017 Oct 1;290:85-94. doi: 10.1016/j.jneumeth.2017.07.013. Epub 2017 Jul 19.

PMID:
28734799
16.

Unobtrusive assessment of neonatal sleep state based on heart rate variability retrieved from electrocardiography used for regular patient monitoring.

Werth J, Long X, Zwartkruis-Pelgrim E, Niemarkt H, Chen W, Aarts RM, Andriessen P.

Early Hum Dev. 2017 Oct;113:104-113. doi: 10.1016/j.earlhumdev.2017.07.004. Epub 2017 Jul 18.

PMID:
28733087
17.

Hybrid Optical Unobtrusive Blood Pressure Measurements.

Zhang G, Shan C, Kirenko I, Long X, Aarts RM.

Sensors (Basel). 2017 Jul 1;17(7). pii: E1541. doi: 10.3390/s17071541.

18.

Simulated case management of home telemonitoring to assess the impact of different alert algorithms on work-load and clinical decisions.

Cuba Gyllensten I, Crundall-Goode A, Aarts RM, Goode KM.

BMC Med Inform Decis Mak. 2017 Jan 17;17(1):11. doi: 10.1186/s12911-016-0398-9.

19.

Efficient approximation of the Struve functions Hn occurring in the calculation of sound radiation quantities.

Aarts RM, Janssen AJ.

J Acoust Soc Am. 2016 Dec;140(6):4154. doi: 10.1121/1.4968792.

PMID:
28040027
20.

Comparison of cardiac magnetic resonance imaging and bio-impedance spectroscopy for the assessment of fluid displacement induced by external leg compression.

Saporito S, Dovancescu S, Herold IH, van den Bosch HC, van Assen HC, Aarts RM, Korsten HH, Mischi M.

Physiol Meas. 2017 Jan;38(1):15-32. doi: 10.1088/1361-6579/38/1/15. Epub 2016 Dec 12.

PMID:
27941227

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