Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries
Open accessAbstract
Globally, neonatal mortality remains unacceptability high. Physiological monitoring is foundational to the care of these vulnerable patients to assess neonatal cardiopulmonary status, guide medical intervention, and determine readiness for safe discharge. However, most existing physiological monitoring systems require multiple electrodes and sensors, which are linked to wires tethered to wall-mounted display units, to adhere to the skin. For neonates, these systems can cause skin injury, prevent kangaroo mother care, and complicate basic clinical care. Novel, wireless, and biointegrated sensors provide opportunities to enhance monitoring capabilities, reduce iatrogenic injuries, and promote family-centric care. Early validation data have shown performance equivalent to (and sometimes exceeding) standard-of-care monitoring systems in premature neonates cared for in high-income countries. The reusable nature of these sensors and compatibility with low-cost mobile phones have the future potential to enable substantially lower monitoring costs compared with existing systems. Deployment at scale, in low-income countries, holds the promise of substantial improvements in neonatal outcomes.
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Xu et al emphasized that physiological monitoring with wearables holds promise for substantial improvements in neonatal outcomes in low- and middle-resource countries.
“Xu et al [234] emphasized that physiological monitoring with wearables hold “promise for substantial improvements in neonatal outcomes” in low- and middle-resource countries.”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [234]
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Cites
Transforming Our World: The 2030 Agenda for Sustainable Development
Desa, U. (2018) · Springer Publishing Company eBooks · doi:10.1891/9780826190123.ap02 · Cited by 19,434 · see citing works
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836 · see citing works
Self-citationKangaroo mother care to reduce morbidity and mortality in low birthweight infants
Conde-Agudelo, A., & Díaz-Rossello, J. L. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002771.pub4 · Cited by 1,349 · see citing works
A soft, wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat
Koh, A., Kang, D., Xue, Y., Lee, S., Pielak, R. M., Kim, J., Hwang, T., Min, S., Banks, A., Bastien, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf2593 · Cited by 1,308 · see citing works
Self-citationHug, L., Alexander, M. J., You, D., & Alkema, L. (2019) · The Lancet Global Health · doi:10.1016/s2214-109x(19)30163-9 · Cited by 861 · see citing works
Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care
Chung, H. U., Kim, B. H., Lee, J. Y., Lee, J., Xie, Z., Ibler, E. M., Lee, K., Banks, A., Jeong, J. Y., Kim, J., et al. (2019) · Science · doi:10.1126/science.aau0780 · Cited by 807 · see citing works
Self-citationPrevalence and Outcomes of Low Mobility in Hospitalized Older Patients
Brown, C. J., Friedkin, R. J., & Inouye, S. K. (2004) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2004.52354.x · Cited by 658 · see citing works
O'Brien, K., Robson, K., Bracht, M., Cruz, M., Lui, K., Alvaro, R., da Silva, O., Monterrosa, L., Narvey, M., Ng, E., et al. (2018) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(18)30039-7 · Cited by 593 · see citing works
Moon, R. Y., TASK FORCE ON SUDDEN INFANT DEATH SYNDROME, Darnall, R. A., Feldman-Winter, L., Goodstein, M. H., & Hauck, F. R. (2016) · Pediatrics · doi:10.1542/peds.2016-2940 · Cited by 583 · see citing works
Why digital medicine depends on interoperability
Lehne, M., Sass, J., Essenwanger, A., Schepers, J., & Thun, S. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0158-1 · Cited by 501 · see citing works
Chung, H. U., Rwei, A. Y., Hourlier-Fargette, A., Xu, S., Lee, K., Dunne, E. C., Xie, Z., Liu, C., Carlini, A., Kim, D. H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0792-9 · Cited by 482 · see citing works
Self-citationMonitor Alarm Fatigue: Standardizing Use of Physiological Monitors and Decreasing Nuisance Alarms
Graham, K. C., & Cvach, M. M. (2010) · American Journal of Critical Care · doi:10.4037/ajcc2010651 · Cited by 460 · see citing works
Kim, D., Kim, Y., Wu, J. C., Liu, Z., Song, J., Kim, H., Huang, Y. Y., Hwang, K., & Rogers, J. A. (2009) · Advanced Materials · doi:10.1002/adma.200900405 · Cited by 403 · see citing works
Self-citationMiniaturized Battery‐Free Wireless Systems for Wearable Pulse Oximetry
Kim, J., Gutruf, P., Chiarelli, A. M., Heo, S. Y., Cho, K., Xie, Z., Banks, A. R., Han, S., Jang, K., Lee, J. W., et al. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201604373 · Cited by 334 · see citing works
Self-citationKangaroo mother care: a systematic review of barriers and enablers
Chan, G. J., Labar, A. S., Wall, S. N., & Atun, R. A. (2015) · Bulletin of the World Health Organization · doi:10.2471/blt.15.157818 · Cited by 274 · see citing works
Sankar, M. J., Natarajan, C. K., Das, R. R., Agarwal, R. K., Chandrasekaran, A., & Paul, V. K. (2016) · Journal of Perinatology · doi:10.1038/jp.2016.27 · Cited by 245 · see citing works
Aarts, L. A. M., Jeanne, V., Cleary, J. P., Lieber, C. A., Nelson, J. S., Oetomo, S. B., & Verkruysse, W. (2013) · Early Human Development · doi:10.1016/j.earlhumdev.2013.09.016 · Cited by 241 · see citing works
Perry, L., & Malkin, R. (2011) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-011-0786-3 · Cited by 232 · see citing works
Skin sensors are the future of health care
Xu, S., Jayaraman, A., & Rogers, J. A. (2019) · Nature · doi:10.1038/d41586-019-02143-0 · Cited by 214 · see citing works
Self-citationKangaroo mother care to reduce morbidity and mortality in low birth weight infants
Loughlin, G. M. (2017) · International Journal of Nursing Practice · doi:10.1111/ijn.12541 · Cited by 203 · see citing works
Neonatal Skin, Structure and Function
Whitelaw, A. C. (1983) · Archives of Disease in Childhood · doi:10.1136/adc.58.6.479 · Cited by 186 · see citing works
Chase, J., Preiser, J., Dickson, J. L., Pironet, A., Chiew, Y., Pretty, C., Shaw, G., Benyó, B., Moeller, K., Safaei, S., et al. (2018) · BioMedical Engineering OnLine · doi:10.1186/s12938-018-0455-y · Cited by 169 · see citing works
Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit
Villarroel, M., Chaichulee, S., Jorge, J., Davis, S., Green, G., Arteta, C., Zisserman, A., McCormick, K. P., Watkinson, P., & Tarassenko, L. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0199-5 · Cited by 155 · see citing works
Heo, S. Y., Kim, J., Gutruf, P., Banks, A. R., Wei, P., Pielak, R. M., Balooch, G., Shi, Y., Araki, H., Rollo, D., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aau1643 · Cited by 138 · see citing works
Self-citationClinical requirements of future patient monitoring in the intensive care unit: qualitative study
Poncette, A.-S., Spies, C., Mosch, L., Schieler, M., Weber-Carstens, S., Krampe, H., & Balzer, F. (2019) · JMIR Medical Informatics · doi:10.2196/13064 · Cited by 136 · see citing works
The 2003 National Pediatric Pressure Ulcer and Skin Breakdown Prevalence Survey: A Multisite Study
McLane, K. M., Bookout, K., McCord, S., McCain, J., & Jefferson, L. S. (2004) · Journal of Wound, Ostomy and Continence Nursing · doi:10.1097/00152192-200407000-00004 · Cited by 129 · see citing works
Smart Jacket Design for Neonatal Monitoring with Wearable Sensors
Bouwstra, S., Chen, W., Feijs, L., & Oetomo, S. B. (2009) · 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2009.40 · Cited by 129 · see citing works
Lund, C. (2014) · Newborn and Infant Nursing Reviews · doi:10.1053/j.nainr.2014.10.001 · Cited by 128 · see citing works
Progress In Interoperability: Measuring US Hospitals’ Engagement In Sharing Patient Data
Holmgren, A. J., Patel, V., & Adler‐Milstein, J. (2017) · Health Affairs · doi:10.1377/hlthaff.2017.0546 · Cited by 120 · see citing works
Dressler, R. M., Dryer, M. M., Coletti, C., Mahoney, D. D., & Doorey, A. J. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.4491 · Cited by 102 · see citing works
Extremely low birth weight and body size in early adulthood
Doyle, L. W. (2004) · Archives of Disease in Childhood · doi:10.1136/adc.2002.025924 · Cited by 91 · see citing works
Cry, Baby, Cry: Expression of Distress As a Biomarker and Modulator in Autism Spectrum Disorder
Esposito, G., Hiroi, N., & Scattoni, M. L. (2017) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyx014 · Cited by 89 · see citing works
Fairchild, K. D., Lake, D. E., Kattwinkel, J., Moorman, J. R., Bateman, D., Grieve, P. G., Isler, J. R., & Sahni, R. (2016) · Pediatric Research · doi:10.1038/pr.2016.215 · Cited by 83 · see citing works
The implementation of the South African Triage Score (SATS) in an urban teaching hospital, Ghana
Rominski, S., Bell, S. A., Oduro, G. D., et al. (2014) · African Journal of Emergency Medicine · doi:10.1016/j.afjem.2013.11.001 · Cited by 69 · see citing works
The Emerging Market of Smartphone-Integrated Infant Physiologic Monitors
Bonafide, C. P., Jamison, D. T., & Foglia, E. E. (2017) · JAMA · doi:10.1001/jama.2016.19137 · Cited by 56 · see citing works
Accuracy of Pulse Oximetry-Based Home Baby Monitors
Bonafide, C. P., Localio, A. R., Ferro, D. F., et al. (2018) · JAMA · doi:10.1001/jama.2018.9018 · Cited by 52 · see citing works
Predicting Neonatal Skin Injury: The First Step to Reducing Skin Injuries in Neonates
Broom, M., Dunk, A. M., & Abdellatif, M. (2019) · Health Services Insights · doi:10.1177/1178632919845630 · Cited by 48 · see citing works
Rutter, N. (1988) · British Medical Bulletin · doi:10.1093/oxfordjournals.bmb.a072303 · Cited by 47 · see citing works
Initial Experience and Usage Patterns With the Owlet Smart Sock Monitor in 47,495 Newborns
Dangerfield, M. I., Ward, K. J., Davidson, L., & Adamian, M. (2017) · Global Pediatric Health · doi:10.1177/2333794x17742751 · Cited by 44 · see citing works
Pattern discovery in critical alarms originating from neonates under intensive care
Joshi, R., van Pul, C., Atallah, L., Feijs, L. M. G., Huffel, S. V., & Andriessen, P. (2016) · Physiological Measurement · doi:10.1088/0967-3334/37/4/564 · Cited by 35 · see citing works
A practical approach to storage and retrieval of high-frequency physiological signals
Goodwin, A. J., Eytan, D., Greer, R. W., et al. (2020) · Physiological Measurement · doi:10.1088/1361-6579/ab7cb5 · Cited by 34 · see citing works
Major full thickness skin burn injuries in premature neonate twins
Rimdeika, R., & Bagdonas, R. (2004) · Burns · doi:10.1016/j.burns.2004.04.009 · Cited by 33 · see citing works
Visualizing Multivariate Time Series Data to Detect Specific Medical Conditions
Ordóñez, P., Desjardins, M. E., Feltes, C. M., et al. (2008) · PubMed · doi:10.13016/m2cfz3-wusn · Cited by 29 · see citing works
Smart textiles: transforming the practice of medicalisation and health care.
Joyce, K. (2019) · Sociology of Health and Illness · doi:10.1111/1467-9566.12871 · Cited by 27 · see citing works
Gross, B. A., & Orbach, D. B. (2013) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2012-010610 · Cited by 21 · see citing works
Non-invasive monitoring of stress biomarkers in the newborn period
Peña‐Bautista, C., Escrig, R., Lara‐Cantón, I., García‐Blanco, A., Cháfer‐Pericás, C., & Vento, M. (2019) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2019.04.002 · Cited by 18 · see citing works
(1985) · PubMed · Cited by 17 · see citing works
Behind the Monitor—The Trouble With Telemetry
Chen, S., & Zakaria, S. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.0837 · Cited by 13 · see citing works
Pasero, C. (2002) · AJN American Journal of Nursing · doi:10.1097/00000446-200207000-00039 · Cited by 13 · see citing works
Reynolds, E. W., Grider, D., & Bell, C. (2017) · Frontiers in Pediatrics · doi:10.3389/fped.2017.00214 · Cited by 13 · see citing works
Aeromedical Transport of Critically Ill Infants Less Than 3 Months of Age
George, A. P., Sharma, A., & Day, S. B. (2017) · Global Pediatric Health · doi:10.1177/2333794x17739743 · Cited by 13 · see citing works
First Get the Data, Then Do the Science!*
Wetzel, R. C. (2018) · Pediatric Critical Care Medicine · doi:10.1097/pcc.0000000000001482 · Cited by 12 · see citing works
Lund, C., & Tucker, J. (2003) · Informa Healthcare eBooks · doi:10.1201/9780203911716.ch15 · Cited by 11 · see citing works
Pain Assessment in Infants and Young Children: Neonates
Pasero, C. (2002) · AJN American Journal of Nursing · doi:10.1097/00000446-200208000-00041 · Cited by 6 · see citing works
Media Review: The Owlet Smart Sock—a “must have” for the baby registry?
Malik, A., & Ehsan, Z. (2020) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.8400 · Cited by 5 · see citing works
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The impact of wearable technologies in health research: scoping review
Huhn, S., Axt, M., Gunga, H.-C., Maggioni, M. A., Munga, S., Obor, D., Sié, A., Boudo, V., Bunker, A., Sauerborn, R., et al. (2022) · JMIR mHealth and uHealth · doi:10.2196/34384 · Cited by 379 · see citing works
- Authors
- Xu, S., Rwei, A. Y., Vwalika, B., Chisembele, M. P., Stringer, J. S. A., Ginsburg, A. S., & Rogers, J. A.
- Affiliations
- Northwestern University (US)
- University of Zambia (ZM)
- University Teaching Hospital (ZM)
- University of North Carolina at Chapel Hill (US)
- University of Washington (US)
- Corresponding author
- Rogers, John A
- ORCID
- Venue
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 3
- Issue
- 4
- Pages
- e266-e273
- ISSN
- 2589-7500 (ISSN-L)
- OpenAlex
- W3131961606
- Cited by
- 57
- References
- 56
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 10 · 2023: 18 · 2022: 8 · 2021: 5
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Digital Health (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Repository (Delft University of Technology) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Bill and Melinda Gates Foundation (OPP1192462, OPP1193311, INV-000787)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- preterm infants, neonatal mortality, kangaroo mother care, low-income countries, discharge readiness
- MeSH terms
- Critical Care, Developing Countries, Electronics, Medical, Humans, Infant, Infant Care, Infant, Newborn, Monitoring, Physiologic, Wireless Technology
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