Disparities in sleep health and access to the relevant forms of healthcare are created by environmental and social factors that disproportionately impact certain populations. The ubiquity of low-cost personal technological devices and social media in modern life promotes sleep deficiency. On the other hand, the informed and optimal application of wearable devices and mHealth solutions powered by predictive analytics provide ways for us to better understand human sleep physiology and effect lifestyle factors and behavioral changes to improve sleep health.
Selected publications:
Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis. Haghayegh S, Khoshnevis S, Smolensky MH, Diller KR, Castriotta RJ. J Med Internet Res. 2019 Nov 28;21(11):e16273. doi: 10.2196/16273.
Aura and mental stress are associated with reports of pain in sickle cell disease-a pilot study using a mobile application. Espinoza J, Shah P, Veluswamy S, Zeltzer L, Khoo MCK, Coates TD, Baskin J. Am J Hematol. 2020 95(4):E101-E103. doi: 10.1002/ajh.25736.
Developing a wearable early-warning system for vaso-occlusive pain crisis in sickle cell disease. Sy S, Veluswamy S, Shah P, Chen M, Coates T, Khoo MCK. Biomedical Engineering Society Annual Meeting, October 2022 (abstract).