Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2019 Mar 6

PMID 30832392

Citations 5

Authors

Xi Long

Renee Otte

Eric van der Sanden

Jan Werth

Tao Tan

Affiliations

Soon will be listed here.

Abstract

Prolonged monitoring of infant sleep is paramount for parents and healthcare professionals for interpreting and evaluating infants' sleep quality. Wake-sleep patterns are often studied to assess this. Video cameras have received a lot of attention in infant sleep monitoring because they are unobtrusive and easy to use at home. In this paper, we propose a method using motion data detected from infrared video frames (video-based actigraphy) to identify wake and sleep states. The motion, mostly caused by infant body movement, is known to be substantially associated with infant wake and sleep states. Two features were calculated from the video-based actigraphy, and a Bayesian-based linear discriminant classification model was employed to classify the two states. Leave-one-subject-out cross validation was performed to validate our proposed wake and sleep classification model. From a total of 11.6 h of infrared video recordings of 10 healthy term infants in a laboratory pilot study, we achieved a reliable classification performance with a Cohen's kappa coefficient of 0.733 ± 0.204 (mean ± standard deviation) and an overall accuracy of 92.0% ± 4.6%.

Citing Articles

Near-Infrared Spectroscopy for Neonatal Sleep Classification.

Hakimi N, Arasteh E, Zahn M, Horschig J, Colier W, Dudink J Sensors (Basel). 2024; 24(21).

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Comparing actigraphy and diary to measure daily and average sleep in firefighters: a Bland-Altman analysis.

Marmis R, McGoldrick-Ruth L, Kelly M, Haynes P J Clin Sleep Med. 2023; 20(4):497-503.

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Development of a non-contact sleep monitoring system for children.

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Non-contact Sleep/Wake Monitoring Using Impulse-Radio Ultrawideband Radar in Neonates.

Lee W, Kim S, Na J, Lim Y, Cho S, Cho S Front Pediatr. 2022; 9:782623.

PMID: 34993163 PMC: 8724301. DOI: 10.3389/fped.2021.782623.

Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?.

Awais M, Long X, Yin B, Chen C, Akbarzadeh S, Abbasi S BMC Res Notes. 2020; 13(1):507.

PMID: 33148327 PMC: 7641846. DOI: 10.1186/s13104-020-05343-4.

References

Johansson A, Oberg P, Sedin G . Monitoring of heart and respiratory rates in newborn infants using a new photoplethysmographic technique. J Clin Monit Comput. 2003; 15(7-8):461-7. DOI: 10.1023/a:1009912831366. View

So K, Buckley P, Adamson T, Horne R . Actigraphy correctly predicts sleep behavior in infants who are younger than six months, when compared with polysomnography. Pediatr Res. 2005; 58(4):761-5. DOI: 10.1203/01.PDR.0000180568.97221.56. View

Bayer J, Hiscock H, Hampton A, Wake M . Sleep problems in young infants and maternal mental and physical health. J Paediatr Child Health. 2007; 43(1-2):66-73. DOI: 10.1111/j.1440-1754.2007.01005.x. View

Grigg-Damberger M, Gozal D, Marcus C, Quan S, Rosen C, Chervin R . The visual scoring of sleep and arousal in infants and children. J Clin Sleep Med. 2007; 3(2):201-40. View

Tilmanne J, Urbain J, Kothare M, Wouwer A, Kothare S . Algorithms for sleep-wake identification using actigraphy: a comparative study and new results. J Sleep Res. 2009; 18(1):85-98. DOI: 10.1111/j.1365-2869.2008.00706.x. View

Mindell J, Telofski L, Wiegand B, Kurtz E . A nightly bedtime routine: impact on sleep in young children and maternal mood. Sleep. 2009; 32(5):599-606. PMC: 2675894. DOI: 10.1093/sleep/32.5.599. View

Sadeh A, Tikotzky L, Scher A . Parenting and infant sleep. Sleep Med Rev. 2009; 14(2):89-96. DOI: 10.1016/j.smrv.2009.05.003. View

Sadeh A, Lavie P, Scher A, Tirosh E, Epstein R . Actigraphic home-monitoring sleep-disturbed and control infants and young children: a new method for pediatric assessment of sleep-wake patterns. Pediatrics. 1991; 87(4):494-9. View

Galland B, Taylor B, Elder D, Herbison P . Normal sleep patterns in infants and children: a systematic review of observational studies. Sleep Med Rev. 2011; 16(3):213-22. DOI: 10.1016/j.smrv.2011.06.001. View

10.

Meltzer L, Montgomery-Downs H, Insana S, Walsh C . Use of actigraphy for assessment in pediatric sleep research. Sleep Med Rev. 2012; 16(5):463-75. PMC: 3445439. DOI: 10.1016/j.smrv.2011.10.002. View

11.

Heinrich A, Geng D, Znamenskiy D, Vink J, de Haan G . Robust and sensitive video motion detection for sleep analysis. IEEE J Biomed Health Inform. 2013; 18(3):790-8. DOI: 10.1109/JBHI.2013.2282829. View

12.

Long X, Fonseca P, Foussier J, Haakma R, Aarts R . Sleep and wake classification with actigraphy and respiratory effort using dynamic warping. IEEE J Biomed Health Inform. 2013; 18(4):1272-84. DOI: 10.1109/JBHI.2013.2284610. View

13.

Aarts L, Jeanne V, Cleary J, Lieber C, Nelson J, Oetomo S . Non-contact heart rate monitoring utilizing camera photoplethysmography in the neonatal intensive care unit - a pilot study. Early Hum Dev. 2013; 89(12):943-8. DOI: 10.1016/j.earlhumdev.2013.09.016. View

14.

Marchionni P, Scalise L, Ercoli I, Tomasini E . An optical measurement method for the simultaneous assessment of respiration and heart rates in preterm infants. Rev Sci Instrum. 2014; 84(12):121705. DOI: 10.1063/1.4845635. View

15.

Abbas A, Leonhardt S . Intelligent neonatal monitoring based on a virtual thermal sensor. BMC Med Imaging. 2014; 14:9. PMC: 4015601. DOI: 10.1186/1471-2342-14-9. View

16.

Grubb M, Carpenter J, Crowe J, Teoh J, Marlow N, Ward C . Forehead reflectance photoplethysmography to monitor heart rate: preliminary results from neonatal patients. Physiol Meas. 2014; 35(5):881-93. DOI: 10.1088/0967-3334/35/5/881. View

17.

Atallah L, Serteyn A, Meftah M, Schellekens M, Vullings R, Bergmans J . Unobtrusive ECG monitoring in the NICU using a capacitive sensing array. Physiol Meas. 2014; 35(5):895-913. DOI: 10.1088/0967-3334/35/5/895. View

18.

Zhu Z, Liu T, Li G, Li T, Inoue Y . Wearable sensor systems for infants. Sensors (Basel). 2015; 15(2):3721-49. PMC: 4367382. DOI: 10.3390/s150203721. View

19.

Lee W, Yoon H, Jung D, Hwang S, Park K . Ballistocardiogram of baby during sleep. Annu Int Conf IEEE Eng Med Biol Soc. 2016; 2015:7167-70. DOI: 10.1109/EMBC.2015.7320045. View

20.

Fonseca P, Den Teuling N, Long X, Aarts R . Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields. IEEE J Biomed Health Inform. 2016; 21(4):956-966. DOI: 10.1109/JBHI.2016.2550104. View