Use of wearable sensors for pregnancy health and environmental monitoring: Descriptive findings from the perspective of patients and providers
Open accessAbstract
Background: Wearable sensors and other smart technology may be especially beneficial in providing remote monitoring of sub-clinical changes in pregnancy health status. Yet, limited research has examined perceptions among pregnant patients and providers in incorporating smart technology into their daily routine and clinical practice. Objective: The purpose of this study was to examine the perceptions of pregnant women and their providers at a rural health clinic on the use of wearable technology to monitor health and environmental exposures during pregnancy. Methods: An anonymous 21-item e-survey was administered to family medicine or obstetrics and gynecology ( n=28) providers at a rural health clinic; while a 21-item paper survey was administered to pregnant women ( n=103) attending the clinic for prenatal care. Results: Smartphone and digital technology use was high among patients and providers. Patients would consider wearing a mobile sensor during pregnancy, reported no privacy concerns, and felt comfortable sharing information from these devices with their physician. About seven out of 10 women expressed willingness to change their behavior during pregnancy in response to receiving personalized recommendations from a smartphone. While most providers did not currently use smart technologies in their medical practice, about half felt it will be used more often in the future to diagnose and remotely monitor patients. Patients ranked fetal heart rate and blood pressure as their top preference for health monitoring compared to physicians who ranked blood pressure and blood glucose. Patients and providers demonstrated similar preferences for environmental monitoring, but patients as a whole expressed more interests in tracking environmental measures compared to their providers. Conclusions: Patients and providers responded positively to the use of wearable sensor technology in prenatal care. More research is needed to understand what factors might motivate provider use and implementation of wearable technology to improve the delivery of prenatal care.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Numerous studies have highlighted the benefits of remote patient monitoring between clinic visits in detecting health deterioration earlier and enabling prompt intervention, particularly for individuals with chronic conditions.
“Numerous studies have highlighted the benefits of remote patient monitoring between clinic visits in detecting health deterioration earlier and enabling prompt intervention, particularly for individuals with chronic conditions [44–50].”
From Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: Findings from a pilot clinical trial (2025) · cites this paper as [49]
The Introduction says wearable technologies have potential for earlier detection of pregnancy complications, and the Discussion says remote monitoring may permit timely identification of adverse pregnancy events. The Discussion also reports that providers perceived chronic-disease monitoring as a benefit. These passages do not establish that remote monitoring enables prompt intervention or that numerous studies have demonstrated those benefits for people with chronic conditions. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766 · see citing works
Smart wearable systems: Current status and future challenges
Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., & Campo, E. (2012) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2012.09.003 · Cited by 953 · see citing works
Poissant, L. (2005) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1700 · Cited by 901 · see citing works
Mobile devices and apps for health care professionals: uses and benefits.
Ventola, C. L. (2014) · PubMed Central · doi:10.57945/manara.23966214 · Cited by 845 · see citing works
Payne, K. F. B., Wharrad, H. J., & Watts, K. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-121 · Cited by 589 · see citing works
Technology Acceptance among Physicians: A New Take on TAM
Yarbrough, A. K., & Smith, T. B. (2007) · Medical Care Research and Review · doi:10.1177/1077558707305942 · Cited by 482 · see citing works
Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452 · see citing works
WHO systematic review of randomised controlled trials of routine antenatal care
Carroli, G., Villar, J., Piaggio, G., Khan-Neelofur, D., Gülmezoglu, M., Mugford, M., Lumbiganon, P., Farnot, U., & Bersgjø, P. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04723-1 · Cited by 435 · see citing works
Remote Patient Monitoring via Non-Invasive Digital Technologies: A Systematic Review
Vegesna, A., Tran, M., Angelaccio, M., & Arcona, S. (2017) · Telemedicine and e-Health · doi:10.1089/tmj.2016.0051 · Cited by 404 · see citing works
Alternative versus standard packages of antenatal care for low-risk pregnancy
Dowswell, T., Carroli, G., Duley, L., Gates, S., Gülmezoglu, A. M., Khan-Neelofur, D., & Piaggio, G. G. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000934.pub2 · Cited by 330 · see citing works
Alternative versus standard packages of antenatal care for low-risk pregnancy
Dowswell, T., Carroli, G., Duley, L., Gates, S., Gülmezoglu, A. M., Khan-Neelofur, D., & Piaggio, G. G. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000934.pub3 · Cited by 264 · see citing works
Computerized Physician Order Entry: Helpful or Harmful?
Berger, R. G. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1411 · Cited by 223 · see citing works
Sikorski, J., Wilson, J., Clement, S., Das, S., & Smeeton, N. (1996) · BMJ · doi:10.1136/bmj.312.7030.546 · Cited by 199 · see citing works
Nangalia, V., Prytherch, D. R., & Smith, G. B. (2010) · Critical Care · doi:10.1186/cc9208 · Cited by 150 · see citing works
Effect of Frequency of Prenatal Care Visits on Perinatal Outcome Among Low-Risk Women
McDuffie, R. S. (1996) · JAMA · doi:10.1001/jama.1996.03530350029030 · Cited by 145 · see citing works
Smartphone Medical Applications for Women’s Health: What Is the Evidence-Base and Feedback?
Derbyshire, E. J., & Dancey, D. (2013) · International Journal of Telemedicine and Applications · doi:10.1155/2013/782074 · Cited by 99 · see citing works
Marko, K. I., Krapf, J. M., Meltzer, A. C., Oh, J., Ganju, N., Martinez, A., Sheth, S., & Gaba, N. D. (2016) · JMIR Research Protocols · doi:10.2196/resprot.6167 · Cited by 97 · see citing works
Caring for our future: a report by the expert panel on the content of prenatal care.
Rosen, M. G., Merkatz, I. R., & Hill, J. G. (1991) · PubMed · Cited by 78 · see citing works
Postpartum depression prediction through pregnancy data analysis for emotion-aware smart systems
Moreira, M. W. L., Rodrigues, J. J. P. C., Kumar, N., Saleem, K., & Illin, I. V. (2018) · Information Fusion · doi:10.1016/j.inffus.2018.07.001 · Cited by 70 · see citing works
Alternative prenatal care. Impact of reduced visit frequency, focused visits and continuity of care.
Binstock, M. A., & Wolde-Tsadik, G. (1995) · PubMed · Cited by 63 · see citing works
Parish, M. B., Fazio, S., Chan, S., & Yellowlees, P. M. (2017) · Current Psychiatry Reports · doi:10.1007/s11920-017-0839-x · Cited by 50 · see citing works
Wearable Sensors for Healthier Pregnancies
Penders, J., Altini, M., Hoof, C. A. V., & Dy, E. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2387017 · Cited by 47 · see citing works
Ridgeway, J. L., LeBlanc, A., Branda, M. E., Harms, R. W., Morris, M. A., Nesbitt, K., Gostout, B. S., Barkey, L. M., Sobolewski, S. M., Brodrick, E. M., et al. (2015) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-015-0762-2 · Cited by 39 · see citing works
Mining of Sensor Data in Healthcare: A Survey
Sow, D., Turaga, D. S., & Schmidt, M. (2012) · Springer eBooks · doi:10.1007/978-1-4614-6309-2_14 · Cited by 33 · see citing works
Smart mobile system for pregnancy care using body sensors
Moreira, M. W. L., Rodrigues, J. J. P. C., Oliveira, A. M. B., & Saleem, K. (2016) · International Conference on Selected Topics in Mobile and Wireless Networking (MoWNeT) · doi:10.1109/mownet.2016.7496609 · Cited by 30 · see citing works
Gregory, K. D., Johnson, C. T., Johnson, T. R. B., & Entman, S. S. (2006) · Women s Health Issues · doi:10.1016/j.whi.2006.05.001 · Cited by 26 · see citing works
Antepartum Fetal Monitoring through a Wearable System and a Mobile Application
Signorini, M. G., Lanzola, G., Torti, E., Fanelli, A., & Magenes, G. (2018) · Technologies · doi:10.3390/technologies6020044 · Cited by 24 · see citing works
Moreira, M. W. L., Rodrigues, J. J. P. C., Sangaiah, A. K., Al-Muhtadi, J. F., & Korotaev, V. V. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.04.031 · Cited by 21 · see citing works
OB Nest—A Novel Approach to Prenatal Care [21]
Tobah, Y. B., LeBlanc, A., Branda, M. E., Inselman, J., Gostout, B. S., & Famuyide, A. O. (2016) · Obstetrics and Gynecology · doi:10.1097/01.aog.0000483637.05137.18 · Cited by 14 · see citing works
Gyselaers, W., Storms, V., & Grieten, L. (2016) · Expert Review of Medical Devices · doi:10.1080/17434440.2016.1205484 · Cited by 6 · see citing works
Wearable Health Trackers: A Revolution in Cancer Care
Gritters, J. (2017) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djx046 · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [19]American Medical Association (AMA) adopts principles to promote safe, effective mHealth applications, 16 November 2016 [press release], https://www.ama-assn.org/ama-adopts-principles-promote-safe-effective-mhealth-applications (2016, accessed 16 November 2018).
- [34]Butler Tobah YS LeBlanc A Branda M et al A novel approach to prenatal care. Obstet Gynecol 2016; 127: 7S– 8S.
Cited by
Sorted by citations
Serrano, L. P., Maita, K. C., Avila, F. R., Torres-Guzman, R. A., Garcia, J. P., Eldaly, A. S., Haider, C. R., Felton, C. L., Paulson, M. R., Maniaci, M. J., et al. (2023) · The Permanente Journal · doi:10.7812/tpp/23.022 · Cited by 162 · see citing works
Li, X., Lu, Y., Fu, X., & Qi, Y. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.01.016 · Cited by 98 · see citing works
Wearable Sensors for the Monitoring of Maternal Health—A Systematic Review
Alim, A., & Imtiaz, M. H. (2023) · Sensors · doi:10.3390/s23052411 · Cited by 89 · see citing works
Health data sharing attitudes towards primary and secondary use of data: a systematic review
Cascini, F., Pantović, A., Al‐Ajlouni, Y. A., Puleo, V., Maio, L. D., & Ricciardi, W. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102551 · Cited by 81 · see citing works
Exploring solutions to improve antenatal care in resource-limited settings: an expert consultation
Gamberini, C., Angeli, F., & Ambrosino, E. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-022-04778-w · Cited by 72 · see citing works
Artificial intelligence in health care
Chu, A., Mathews, L. R., & Yu, K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-99136-0.00001-5 · Cited by 70 · see citing works
Wearable Sensors for Human Environmental Exposure in Urban Settings
Helbig, C., Ueberham, M., Becker, A. M., Marquart, H., & Schlink, U. (2021) · Current Pollution Reports · doi:10.1007/s40726-021-00186-4 · Cited by 58 · see citing works
Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review
Ahmad, S. G., Iqbal, T., Javaid, A., Munir, E. U., Kirn, N., Jan, S. U., & Ramzan, N. (2022) · Sensors · doi:10.3390/s22124362 · Cited by 57 · see citing works
Wearable sensors for personal temperature exposure assessments: A comparative study
Bailey, E., Fuhrmann, C. M., Runkle, J. D., Stevens, S. E., Brown, M., & Sugg, M. M. (2019) · Environmental Research · doi:10.1016/j.envres.2019.108858 · Cited by 49 · see citing works
Self-citationOprescu, A. M., Amarante, G. M., García‐Díaz, L., Rey, V. E., Chimenea, Á., Martinez-Martinez, R. L., & Ternero, M. D. C. R. (2022) · Information Fusion · doi:10.1016/j.inffus.2022.03.011 · Cited by 45 · see citing works
Saarikko, J., Niela‐Vilén, H., Ekholm, E. M. K., Hamari, L., Azimi, I., Liljeberg, P., Rahmani, A. M., Löyttyniemi, E., & Axelin, A. (2020) · JMIR Formative Research · doi:10.2196/12417 · Cited by 41 · see citing works
How Wearable Sensors Can Support the Research on Foetal and Pregnancy Outcomes: A Scoping Review
Maugeri, A., Barchitta, M., & Agodi, A. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13020218 · Cited by 40 · see citing works
Accuracy, Clinical Utility, and Usability of a Wireless Self-Guided Fetal Heart Rate Monitor
Porter, P., Muirhead, F., Brisbane, J. M., Schneider, B., Choveaux, J., Bear, N., Carson, J., Jones, K., Silva, D. T., & Neppe, C. (2021) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000004322 · Cited by 34 · see citing works
Deep phenotyping during pregnancy for predictive and preventive medicine
Paquette, A. G., Hood, L., Price, N. D., & Sadovsky, Y. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aay1059 · Cited by 32 · see citing works
Biometrics of complete human pregnancy recorded by wearable devices
Bruce, L. K., González, D., Dasgupta, S., & Smarr, B. L. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01183-9 · Cited by 31 · see citing works
Intelligent Fog-Enabled Smart Healthcare System for Wearable Physiological Parameter Detection
Ijaz, M., Li, G., Wang, H., El‐Sherbeeny, A. M., Awelisah, Y. M., Lin, L., Koubâa, A., & Noor, A. (2020) · Electronics · doi:10.3390/electronics9122015 · Cited by 30 · see citing works
Khamisy‐Farah, R., Furstenau, L. B., Kong, J. D., Wu, J., & Bragazzi, N. L. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18105058 · Cited by 32 · see citing works
Li, J., Silvera‐Tawil, D., Varnfield, M., Hussain, M. S., & Math, V. (2021) · JMIR Formative Research · doi:10.2196/28628 · Cited by 32 · see citing works
Novel uterine contraction monitoring to enable remote, self-administered nonstress testing
Schwartz, N., Mhajna, M., Moody, H. L., Zahar, Y., Shkolnik, K., Reches, A., & Lowery, C. L. (2021) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2021.11.018 · Cited by 21 · see citing works
Wear With Care: A Call for Empirical Investigations of Adverse Outcomes of Consumer Health Wearables
Kaplan, D. M., Greenleaf, M. N., & Lam, W. A. (2023) · Mayo Clinic Proceedings Digital Health · doi:10.1016/j.mcpdig.2023.06.014 · Cited by 19 · see citing works
Person-Generated Health Data in Women’s Health: Scoping Review
Karim, J. L., Wan, R., Tabet, R. S., Chiu, D. S., & Talhouk, A. (2024) · Journal of Medical Internet Research · doi:10.2196/53327 · Cited by 27 · see citing works
Dese, K., Ayana, G., & Simegn, G. L. (2022) · HardwareX · doi:10.1016/j.ohx.2022.e00276 · Cited by 19 · see citing works
Li, S., Yang, Q., Niu, S., & Liu, Y. (2023) · JMIR mhealth and uhealth · doi:10.2196/41508 · Cited by 19 · see citing works
Kytö, M., Koivusalo, S. B., Tuomonen, H., Strömberg, L., Ruonala, A., Marttinen, P., Heinonen, S. T., & Jacucci, G. (2023) · JMIR Diabetes · doi:10.2196/43979 · Cited by 19 · see citing works
Continuous remote home monitoring solutions for mother and fetus: A scoping review
Stricker, K., Radan, A., & Surbek, D. (2024) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2024.12.018 · Cited by 23 · see citing works
Fetus Heart Rate Monitoring: A Preliminary Research Study With Remote Sensing
Skrivanos, A. G., Kosma, E. I., Chronopoulos, S. K., Kouretas, I., Dimopoulos, D., Πετράκος, Γ., Alhazidou, E., Christofilakis, V., Ziavra, N., Peppas, K. P., et al. (2021) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2021.3097316 · Cited by 18 · see citing works
Exploring factors affecting consumers' adoption of wearable devices to track health data
Pancar, T., & Özkan, S. (2021) · Universal Access in the Information Society · doi:10.1007/s10209-021-00848-6 · Cited by 16 · see citing works
Behavior Change Apps for Gestational Diabetes Management: Exploring Desirable Features
Kytö, M., Strömberg, L., Tuomonen, H., Ruonala, A., Koivusalo, S. B., & Jacucci, G. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.1987678 · Cited by 16 · see citing works
Digitization in gynecology and obstetrics in times of COVID-19: Results of a national survey
Hertling, S. F., Hertling, D., Loos, F. M., Martin, D. D., & Graul, I. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100478 · Cited by 15 · see citing works
Weavable, Reconfigurable Triboelectric Ferrofluid Fiber for Early Warning
Wu, N., Mao, P., Chang, N., Zhou, Y., Yang, W., Fu, F., Liu, X., Ji, T., Zhao, J., Huang, Y., et al. (2024) · ACS Nano · doi:10.1021/acsnano.4c06225 · Cited by 15 · see citing works
Faro, J. M., Yue, K.-L. C., Singh, A. P., Soni, A., Ding, E., Shi, Q., & McManus, D. D. (2022) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2022.08.002 · Cited by 14 · see citing works
Runkle, J. D., Sugg, M. M., McCrory, S., & Coulson, C. C. (2021) · Telemedicine Reports · doi:10.1089/tmr.2020.0021 · Cited by 13 · see citing works
Self-citationBrun, R., Girsberger, J., Rothenbühler, M., Argyle, C., Hutmacher, J., Haslinger, C., & Leeners, B. (2022) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-022-06753-4 · Cited by 12 · see citing works
Hertling, S. F., Hertling, D., Martin, D., & Graul, I. (2021) · JMIR Public Health and Surveillance · doi:10.2196/30278 · Cited by 15 · see citing works
Wearable sensor for psychological stress monitoring of pregnant woman – State of the art
Kuncoro, C. B. D., Efendi, A., & Sakanti, M. M. (2023) · Measurement · doi:10.1016/j.measurement.2023.113556 · Cited by 12 · see citing works
Niela‐Vilén, H., Rahmani, A. M., Liljeberg, P., & Axelin, A. (2019) · Journal of Advanced Nursing · doi:10.1111/jan.14223 · Cited by 12 · see citing works
Low-Cost Contact Thermometry for Screening and Monitoring During the COVID-19 Pandemic
Yamanoor, N. S., & Yamanoor, S. (2020) · IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) · doi:10.1109/iemtronics51293.2020.9216444 · Cited by 12 · see citing works
Nulty, A. K., Chen, E. S., & Thompson, A. L. (2022) · Digital Health · doi:10.1177/20552076221084461 · Cited by 13 · see citing works
Implementing Digital Technologies in Clinical Trials: Lessons Learned.
Mitsi, G., Grinnell, T., Giordano, S., Goodin, T. H., Sanjar, S., Marble, E., & Pikalov, A. (2022) · PubMed Central · Cited by 11 · see citing works
Porter, P., Zhou, H., Schneider, B., Choveaux, J., Bear, N., Della, P. R., & Jones, K. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00714-6 · Cited by 10 · see citing works
Saliba, M. T., Drapeau, N., Skime, M. K., Hu, X. Y., Accardi, C. J., Athreya, A. P., Kołacz, J., Shekunov, J., Jones, D. P., Croarkin, P. E., et al. (2023) · Pilot and Feasibility Studies · doi:10.1186/s40814-023-01254-w · Cited by 10 · see citing works
Feasibility of continuous smart health monitoring in pregnant population: A mixed-method approach
Sharifi-Heris, Z., Fortier, M. A., Rahmani, A. M., Sharifiheris, H., & Bender, M. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000517 · Cited by 9 · see citing works
Rani, D., Kumar, R., & Chauhan, N. (2024) · SN Computer Science · doi:10.1007/s42979-024-03129-0 · Cited by 10 · see citing works
The Future of Remote Monitoring for Pregnancy.
Walter, J. R., Xu, S., Stringer, J. S. A., & Rogers, J. A. (2022) · PubMed · Cited by 10 · see citing works
Hertling, S. F., Loos, F. M., & Graul, I. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18137110 · Cited by 10 · see citing works
Impact of Digital Health Interventions on Birth Equity: A Review
Malloy, S. M. (2024) · Seminars in Reproductive Medicine · doi:10.1055/s-0044-1791206 · Cited by 10 · see citing works
He, Y., Fan, G., Fan, G. F., & Liu, D. (2025) · BMC Nursing · doi:10.1186/s12912-025-03108-7 · Cited by 11 · see citing works
Vernon, M., & Yang, F. M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0270190 · Cited by 9 · see citing works
Challenges and opportunities of textile based smart sanitary napkin design
Mukherjee, M. (2019) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3341162.3349572 · Cited by 8 · see citing works
An ethical exploration of pregnancy related mHealth: does it deliver?
Segers, S., Mertes, H., & Pennings, G. (2021) · Medicine Health Care and Philosophy · doi:10.1007/s11019-021-10039-y · Cited by 7 · see citing works
Skrivanos, A. G., Chronopoulos, S. K., Kosma, E. I., Kouretas, I., & Peppas, K. P. (2022) · Panhellenic Conference on Electronics & Telecommunications (PACET) · doi:10.1109/pacet56979.2022.9976348 · Cited by 7 · see citing works
Markwei, M. T., & Goje, O. (2021) · Women s Health · doi:10.1177/17455065211013262 · Cited by 7 · see citing works
Wearable Sensors and AI Algorithms for Monitoring Maternal Health
H, S. D., P, S. I. S., & Jagadeesan, D. (2023) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-1718-1.ch005 · Cited by 6 · see citing works
Smart health monitoring system to prevent complications during pregnancy using IoT and Hadoop
Deka, B., Dash, S., & Sahoo, M. K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15452-2.00005-4 · Cited by 5 · see citing works
Tung, I., Balaji, U., Hipwell, A. E., Low, C. A., & Smyth, J. M. (2024) · Journal of Behavioral Medicine · doi:10.1007/s10865-024-00484-4 · Cited by 6 · see citing works
Revathy, J. S., & Mangaiyarkkarasi, J. (2023) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-6684-8974-1.ch019 · Cited by 5 · see citing works
Smart Health Monitoring System for Pregnant Women
Ansari, S. M., & Ansari, M. B. (2020) · International Journal of Engineering and Advanced Technology · doi:10.35940/ijeat.d7114.049420 · Cited by 5 · see citing works
Pregnancy-related health information behaviour of Estonian women
Ojaperv, K., & Virkus, S. (2021) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-05-2021-0086 · Cited by 5 · see citing works
Heterogeneous effects of physical activity on physiological stress during pregnancy
Rim, J., Xu, Q., Tang, X., Jimah, T., Guo, Y., & Qu, A. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000837 · Cited by 4 · see citing works
The Significance and Limitations of Monitoring Sleep during Pregnancy
Kholghi, M., Silvera‐Tawil, D., Hussain, M. S., Zhang, Q., Varnfield, M., Higgins, L., & Karunanithi, M. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9629670 · Cited by 4 · see citing works
Tretter, M. (2024) · Journal of Medical Internet Research · doi:10.2196/48493 · Cited by 4 · see citing works
Nwanaji‐Enwerem, J. C., Khodasevich, D., Gladish, N., Shen, H., Bozack, A. K., Daredia, S., Needham, B. L., Rehkopf, D. H., & Cárdenas, A. (2025) · Exposome · doi:10.1093/exposome/osaf015 · Cited by 3 · see citing works
Ahmedova, A., Veleva, N., Stoev, S., Petkova-Gueorguieva, E., Yanachkova, V. E., & Lebanova, H. V. (2026) · Pharmacia · doi:10.3897/pharmacia.73.e184239 · Cited by 3 · see citing works
Review of Article: Benefits of Wearable Technology to Provide Efficient Nursing Care
Pannase, K., Mahakalkar, M. M., & Gomase, K. J. (2022) · International Conference on Electronics and Sustainable Communication Systems (ICESC) · doi:10.1109/icesc54411.2022.9885590 · Cited by 3 · see citing works
Caremother: integrating smart assistance into prenatal care for improved maternal health outcomes
Habib, F., Islam, M. N., Bhowmik, M., Anannya, T. T., & Aadeeb, M. S. (2025) · Discover Health Systems · doi:10.1007/s44250-025-00199-6 · Cited by 3 · see citing works
Wearable Sensors and AI Algorithms for Pregnant Women
Vinora, A., Lloyds, E., Deborah, R. N., Gobinath, A., & Sivakarthi, G. (2023) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-1718-1.ch007 · Cited by 3 · see citing works
Exploring perceptions of smart, modular living in the UK: a think aloud study
Seymour, V., Xenitidou, M., Timotijević, L., Hodgkins, C. E., Ratcliffe, E., Gatersleben, B., Gilbert, N., & Jones, C. R. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2350662 · Cited by 3 · see citing works
Ecological momentary assessment in maternal health management: A scoping review
Huo, K., Wu, N. Q., Yao, X., Xu, Y., Yang, D., Ge, Y., & Huang, R. (2025) · Midwifery · doi:10.1016/j.midw.2025.104568 · Cited by 3 · see citing works
Amed, S., Pinkney, S., Abdulhussein, F. S., Virani, A., Zachariuk, C., Tamana, S. K., Muralidharan, S., Görges, M., Barrett, B., van Rooij, T., et al. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000861 · Cited by 1 · see citing works
Impact of Digitalization in Maternal Healthcare
Gupta, M., Mishra, A., & Kumar, P. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-3711-0.ch009 · Cited by 2 · see citing works
Altmannshofer, S., Weidenthaler, F., Titzmann, A., Pontones, C. A., Danzberger, N., Jaeger, K. M., Nissen, M., Leutheuser, H., Eskofier, B. M., Fasching, P. A., et al. (2026) · Digital Health · doi:10.1177/20552076251406652 · Cited by 2 · see citing works
Beloturkina, K., & Huang, E. M. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791475 · Cited by 2 · see citing works
Wearable Technology and Cultural Narrative: At the Intersection of Health And History
Cooke, M., & Parker, J. G. (2021) · Practicing Anthropology · doi:10.17730/0888-4552.43.3.26 · Cited by 2 · see citing works
Abd-Elhamed, M. A., Mohammed, T. S., & Saber, E. H. (2022) · Egyptian Journal of Health Care · doi:10.21608/ejhc.2022.293947 · Cited by 2 · see citing works
Prediction of Pregnancy Complications Using Machine Learning and Deep Learning Algorithms
Ainapure, B. (2023) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-1718-1.ch014 · Cited by 2 · see citing works
Internet of Medical Things: A Revolution in Healthcare Towards Assistive Living
Lipakshi, Ghai, S., Kapoor, T., Wadhawan, S., & Sharma, A. K. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-0700-3_53 · Cited by 3 · see citing works
Vich, G., Subiza‐Pérez, M., Anabitarte, A., García‐Baquero, G., Rueda, C., Colom, A., Miralles‐Guasch, C., Lertxundi, A., Ibarluzea, J. M., & Delclòs‐Alió, X. (2024) · Health & Place · doi:10.1016/j.healthplace.2024.103297 · Cited by 3 · see citing works
Hertling, S. F. (2021) · doi:10.2196/preprints.30128 · Cited by 2 · see citing works
Li, Z., Song, X., Guo, M., & Fang, L. (2024) · Journal of Infrastructure Policy and Development · doi:10.24294/jipd.v8i8.6230 · Cited by 1 · see citing works
Wearable IoT for Maternal Healthcare
Sulisworo, D., Erviana, V. Y., Rosyady, P. A., Astuti, D. A., Rasyid, E., Warsiti, Bakhtiar, R., Ismail, S., & Duma, K. (2025) · Bincang Sains dan Teknologi · doi:10.56741/bst.v4i01.817 · Cited by 1 · see citing works
EMOCARE: XAI Enabled Emotion Detection and Health Guidance for Pregnancy and Postpartum Wellness
Harshitha, N., Reethika, K., Krishnaveni, S., & Sahu, M. (2025) · International Conference on Trends in Electronics and Informatics (ICOEI) · doi:10.1109/icoei65986.2025.11013638 · Cited by 1 · see citing works
Artificial Intelligence for Predicting Pregnancy Risk Factors: A Literature Review
Lakhdadi, K., Boujraine, K., & Satori, H. (2025) · International Conference on Embedded Systems and Artificial Intelligence (ESAI) · doi:10.1109/esai67033.2025.11438364 · Cited by 1 · see citing works
Reed, K., Petermann, V. M., Nicholas, R. D., Truong, T. (. V., & LeBaron, V. T. (2026) · The Journal of Rural Health · doi:10.1111/jrh.70141 · Cited by 1 · see citing works
Kotamarthy, M. H. B., Haranath, S. P., & Reddy, K. S. (2024) · Telehealth and Medicine Today · doi:10.30953/thmt.v9.507 · Cited by 1 · see citing works
Design and Development Integrated Sensor System for Measuring Body Temperature and Heart Rate
Hartono, A., Alfarizi, R. G., Putri, S. T. H., & Sanjaya, E. (2022) · International Conference on Cyber and IT Service Management (CITSM) · doi:10.1109/citsm56380.2022.9935865 · Cited by 1 · see citing works
Mommy Care: Inovasi Cerdas untuk Monitor Kondisi Ibu Hamil dengan Mikrokontroler dan Aplikasi
Erlangga, E., Sari, D., Saputra, A., Puspa, A. K., & Aprilinda, Y. (2023) · EXPERT Jurnal Manajemen Sistem Informasi dan Teknologi · doi:10.36448/expert.v13i1.3168 · Cited by 1 · see citing works
Kytö, M., Ruonala, A., Strömberg, L., Tuomonen, H., Koivusalo, S. B., Heinonen, S. T., & Jacucci, G. (2022) · doi:10.2196/preprints.36987 · Cited by 1 · see citing works
Digital health in obstetric care
van den Heuvel, J. F. M. (2021) · doi:10.33540/605
Hertling, S. F., Loos, F. M., & Graul, I. (2021) · doi:10.2196/preprints.29901
Hertling, S. F., Loos, F. M., Hertling, D., Graul, I., & Runnebaum, I. B. (2021) · doi:10.2196/preprints.30279
An Application for Monitoring Pregnant Women Using IOT
Ankitha, R. M. (2022) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2022.45793
Wegrzyk, J., Hyvärinen, M., de Labrusse, C., & Schläppy, F. (2022) · Springer eBooks · doi:10.1007/978-3-031-06137-0_11
Diagnosis of Pregnant Women Review with Wireless Body Sensor Network
V, G., Stephen, A. N., & Pavithra, M. (2023) · International Conference on Information Management & Machine Intelligence (ICIMMI) · doi:10.1145/3647444.3652474
O'Byrne, L. J., Maher, G. M., Hunter, R., Cuneen, M., Woodworth, S., Adam, F., & McCarthy, F. P. (2025) · Pregnancy Hypertension · doi:10.1016/j.preghy.2025.101191
Technology in Pursuit of Maternity Wearables
Nanda, R., & Sah, N. (2025) · Springer Proceedings in Materials · doi:10.1007/978-981-97-5902-6_12
Mohan, A. (2026) · Journal of diagnostic medical sonography · doi:10.1177/87564793261428478 · Cited by 1 · see citing works
Andonotopo, W., Bachnas, M. A., Pramono, M. B. A., Gumilar, K. E., Darmawan, E., Akbar, M. I. A., Aldiansyah, D., Yeni, C. M., Nugraha, L. A. K., Andanaputra, W. E. K., et al. (2026) · Journal of Preventive Diagnostic and Treatment Strategies in Medicine · doi:10.4103/jpdtsm.jpdtsm_172_25
Tembo, T., Manasyan, A., Muttau, N., Mwamba, C., Mwamba, K., Nyirenda, H. C., Zulu, T., Hamweemba, E., Sharma, A., Cauvel, T., et al. (2026) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-026-09900-w
- Authors
- Runkle, J., Sugg, M., Boase, D., Galvin, S. L., & C. Coulson, C.
- Affiliations
- North Carolina State University (US)
- Department of Geography and Planning, Appalachian State University, USA
- Appalachian State University (US)
- Mountain Area Health Education Center (US)
- Department of Obstetrics and Gynecology, Mountain Area Health Education Center, USA
- Corresponding author
- Runkle, Jennifer
- Venue
- DIGITAL HEALTH
- Publisher
- SAGE Publications
- Published
- 2019-01
- Volume
- 5
- Pages
- 2055207619828220-2055207619828220
- ISSN
- 2055-2076 (ISSN-L)
- PMC
- PMC6376550
- OpenAlex
- W2914541952
- Cited by
- 98
- References
- 31
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 17 · 2023: 15 · 2022: 18 · 2021: 22 · 2020: 5 · 2019: 3
- FWCI
- 16.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Digital Health (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- wearable sensors, pregnancy, prenatal care, remote patient monitoring, environmental exposure monitoring, patient perspectives, provider perceptions, smart technology adoption, privacy concerns, personalized health recommendations, rural health facilities, fetal heart rate, blood pressure, blood glucose
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review