A Systematic Review of Wearable Patient Monitoring Systems–Current Challenges and Opportunities for Clinical Adoption
Abstract
The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients. A total of 791 articles were screened and 20 were selected for this review. The most common publication venue was conference proceedings (13, 54%). This review only considered recent studies published between 2015 and 2017. The identified studies involved chronic conditions (6, 30%), rehabilitation (7, 35%), cardiovascular diseases (4, 20%), falls (2, 10%) and mental health (1, 5%). Most studies focussed on the system aspects of WPM solutions including advanced sensors, wireless data collection, communication platform and clinical usability based on a specific area or disease. The current studies are progressing with localized sensor-software integration to solve a specific use-case/health area using non-scalable and 'silo' solutions. There is further work required regarding interoperability and clinical acceptance challenges. The advancement of wearable technology and possibilities of using machine learning and artificial intelligence in healthcare is a concept that has been investigated by many studies. We believe future patient monitoring and medical treatments will build upon efficient and affordable solutions of wearable technology.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Wearable technology enables remote monitoring of patients and personalized care.
“Wearable technology enables remote monitoring of patients and personalized care.”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [4]
Wearable devices can significantly reduce healthcare costs by reducing the number of hospitalizations and emergency room visits.
“In addition, they can significantly reduce healthcare costs by reducing the number of hospitalizations and emergency room visits, which can be expensive for both individuals and the healthcare system.”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [4]
ML algorithms were employed to predict the onset of chronic diseases such as diabetes, cardiovascular disease, and mental health issues by measuring heart rate and blood glucose meters.
“For instance, these algorithms were employed to predict the onset of chronic diseases, such as diabetes, cardiovascular disease, and mental health issues, by measuring heart rate and blood glucose meters [4,186].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [4]
Integration with smartphones and mobile devices enhances the accessibility of wearable ECG monitors for real-time monitoring, data storage, and cloud-based analytics, enabling seamless integration into telemedicine and remote patient monitoring systems.
“Integration with smartphones and mobile devices enhances the accessibility of wearable ECG monitors for real-time monitoring, data storage, and cloud-based analytics, enabling seamless integration into telemedicine and remote patient monitoring systems [4,16,17].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [4]
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554 · see citing works
A review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-21 · Cited by 2,396 · see citing works
A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis
Pantelopoulos, A., & Bourbakis, N. G. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2009.2032660 · Cited by 2,296 · see citing works
Wearable Sensors for Human Activity Monitoring: A Review
Mukhopadhyay, S. C. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2370945 · Cited by 1,401 · see citing works
Wireless sensor networks for personal health monitoring: Issues and an implementation
Milenković, A., Otto, C., & Jovanov, E. (2006) · Computer Communications · doi:10.1016/j.comcom.2006.02.011 · Cited by 1,023 · see citing works
CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care
Malan, D. J., Fulford-Jones, T. R. F., Welsh, M., & Moulton, S. (2004) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 798 · see citing works
An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare
Yang, Z., Zhou, Q., Lei, L., Zheng, K., & Xiang, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0644-9 · Cited by 490 · see citing works
Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452 · see citing works
Smart Vest: Wearable multi-parameter remote physiological monitoring system
Pandian, P. S., Mohanavelu, K., Safeer, K. P., Kotresh, T. M., Shakunthala, D. T., Gopal, P., & Padaki, V. C. (2007) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2007.05.014 · Cited by 420 · see citing works
Kakria, P., Tripathi, N. K., & Kitipawang, P. (2015) · International Journal of Telemedicine and Applications · doi:10.1155/2015/373474 · Cited by 410 · see citing works
Smart health monitoring systems: An overview of design and modeling
Baig, M. M., & Gholamhosseini, H. (2013) · Journal of Medical Systems · doi:10.1007/s10916-012-9898-z · Cited by 396 · see citing works
Self-citationFrom Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare
Andreu-Pérez, J., Leff, D. R., Ip, H. M. D., & Yang, G. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2422751 · Cited by 383 · see citing works
Increasing trend of wearables and multimodal interface for human activity monitoring: A review
Kumari, P., Mathew, L., & Syal, P. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.12.001 · Cited by 298 · see citing works
A comprehensive survey of wearable and wireless ECG monitoring systems for older adults
Baig, M. M., Gholamhosseini, H., & Connolly, M. J. (2013) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-012-1021-6 · Cited by 284 · see citing works
Self-citationLow-Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring
Spano, E., Pascoli, S. D., & Iannaccone, G. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2564995 · Cited by 256 · see citing works
Wearable Wireless Health Monitoring: Current Developments, Challenges, and Future Trends
Soh, P. J., Vandenbosch, G. A. E., Mercuri, M., & Schreurs, D. M. M.-P. (2015) · IEEE Microwave Magazine · doi:10.1109/mmm.2015.2394021 · Cited by 253 · see citing works
Martin, T. L., Jovanov, E., & Raŝković, D. (2002) · International Symposium on Wearable Computers · doi:10.1109/iswc.2000.888463 · Cited by 236 · see citing works
Wearable feedback systems for rehabilitation
Marci, C. D., Michael, S., & Pentland, A. (2005) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.1186/1743-0003-2-17 · Cited by 229 · see citing works
Body-Worn Sensor Design: What Do Patients and Clinicians Want?
Bergmann, J., & McGregor, A. H. (2011) · Annals of Biomedical Engineering · doi:10.1007/s10439-011-0339-9 · Cited by 216 · see citing works
Delivering person centred care in long term conditions
Eaton, S. D., Roberts, S., & Turner, B. (2015) · BMJ · doi:10.1136/bmj.h181 · Cited by 200 · see citing works
A review of wearable technology in medicine
Iqbal, M. H., Aydın, A., Brunckhorst, O., Prokar Dasgupta, A., & Ahmed, K. (2016) · Journal of the Royal Society of Medicine · doi:10.1177/0141076816663560 · Cited by 189 · see citing works
Overview of Clinical Decision Support Systems
Berner, E. S., & Lande, T. J. L. (2016) · Health informatics · doi:10.1007/978-3-319-31913-1_1 · Cited by 173 · see citing works
Resource-aware secure ECG healthcare monitoring through body sensor networks
Wang, H., Peng, D., Wang, W., Sharif, H., Chen, H., & Khoynezhad, A. B. (2010) · IEEE Wireless Communications · doi:10.1109/mwc.2010.5416345 · Cited by 149 · see citing works
Lanatá, A., Valenza, G., Nardelli, M., Gentili, C., & Scilingo, E. (2015) · IEEE journal of biomedical and health informatics · doi:10.1109/jbhi.2014.2360711 · Cited by 147 · see citing works
Thomas, S. S., Nathan, V., Zong, C., Soundarapandian, K., Shi, X., & Jafari, R. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2458779 · Cited by 140 · see citing works
Analysis of clinical decision support system malfunctions: a case series and survey
Wright, A., Hickman, T.-T. T., McEvoy, D., Aaron, S., Ai, A., Andersen, J. M., Hussain, S., Ramoni, R., Fiskio, J., Sittig, D. F., et al. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw005 · Cited by 132 · see citing works
The promising future of healthcare services: When big data analytics meets wearable technology
Wu, J., Li, H., Cheng, S., & Lin, Z. (2016) · Information & Management · doi:10.1016/j.im.2016.07.003 · Cited by 131 · see citing works
Price‐Haywood, E. G., Harden-Barrios, J., Ulep, R. D., & Luo, Q. (2017) · Population Health Management · doi:10.1089/pop.2016.0164 · Cited by 118 · see citing works
Rault, T., Bouabdallah, A., Challal, Y., & Marin, F. (2016) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2016.08.003 · Cited by 115 · see citing works
WEALTHY – a wearable healthcare system: new frontier on e-textile
Paradiso, R., Loriga, G., Taccini, N., Gemignani, A., & Ghelarducci, B. (2005) · Journal of Telecommunications and Information Technology · doi:10.26636/jtit.2005.4.339 · Cited by 109 · see citing works
Wireless Wearable T-Shirt for Posture Monitoring During Rehabilitation Exercises
Sardini, E., Serpelloni, M., & Pasqui, V. (2014) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2014.2343411 · Cited by 107 · see citing works
Understanding the emergence of wearable devices as next-generation tools for health communication
Park, E., Kim, K. J., & Kwon, S. J. (2016) · Information Technology and People · doi:10.1108/itp-04-2015-0096 · Cited by 105 · see citing works
Etemadi, M., Inan, O. T., Heller, J. A., Hersek, S., Klein, L., & Roy, S. (2016) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2015.2405480 · Cited by 95 · cited 1× · see citing works
“[20] utilized advanced signal processing to collect accurate and reliable seismocardiography (SCG).”
MethodWu, W., Zhang, H., Pirbhulal, S., Mukhopadhyay, S. C., & Zhang, Y. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2470638 · Cited by 92 · see citing works
Chia, A., de Seymour, J. V., Colega, M., Chen, L., Chan, Y.-H., Aris, I. M., Tint, M. T., Quah, P. L., Godfrey, K. M., Yap, F. K. P., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.133892 · Cited by 86 · see citing works
Melillo, P., Orrico, A., Scala, P., Crispino, F., & Pecchia, L. (2015) · Journal of Medical Systems · doi:10.1007/s10916-015-0294-3 · Cited by 63 · see citing works
Shared decision-making using personal health record technology: a scoping review at the crossroads
Davis, S., Roudsari, A., Raworth, R., Courtney, K. L., & MacKay, L. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw172 · Cited by 63 · see citing works
Elsebakhi, E., Lee, F., Schendel, E. R., Haque, A., Kathiresan, N., Pathare, T., Syed, N., & Al‐Ali, R. (2015) · Journal of Computational Science · doi:10.1016/j.jocs.2015.09.008 · Cited by 62 · see citing works
A sensor fusion wearable health-monitoring system with haptic feedback
Sanfilippo, F., & Pettersen, K. Y. (2015) · International Conference on Innovations in Information Technology · doi:10.1109/innovations.2015.7381551 · Cited by 58 · see citing works
A sneak peek into digital innovations and wearable sensors for cardiac monitoring
Michard, F. (2016) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-016-9925-6 · Cited by 56 · see citing works
Using machine learning to support healthcare professionals in making preauthorisation decisions
Araújo, F. H. D., Santana, A. M., & Neto, P. A. S. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.06.007 · Cited by 55 · see citing works
Design and deployment challenges in immersive and wearable technologies
Saleem, K., Shahzad, B., Orgun, M. A., Al-Muhtadi, J. F., Rodrigues, J. J. P. C., & Zakariah, M. (2017) · Behaviour and Information Technology · doi:10.1080/0144929x.2016.1275808 · Cited by 55 · see citing works
Smart ECG Monitoring Patch with Built-in R-Peak Detection for Long-Term HRV Analysis
Lee, W. K., Yoon, H., & Park, K. S. (2015) · Annals of Biomedical Engineering · doi:10.1007/s10439-015-1502-5 · Cited by 41 · see citing works
Rupp, M. A., Michaelis, J. R., McConnell, D. S., & Smither, J. A.-A. (2016) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931213601329 · Cited by 41 · see citing works
Kyriazakos, S. A., Mihaylov, M., Anggorojati, B., Mihovska, A., Crăciunescu, R., Fratu, O., & Prasad, R. (2015) · Wireless Personal Communications · doi:10.1007/s11277-015-2779-2 · Cited by 38 · see citing works
A Medical-Grade Wireless Architecture for Remote Electrocardiography
Kang, K., Park, K., Song, J., Yoon, C., & Sha, L. (2011) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2104365 · Cited by 37 · see citing works
Baig, M. M., GholamHosseini, H., & Lindén, M. (2016) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2016.7848584 · Cited by 36 · see citing works
Self-citationHuman++: Emerging Technology for Body Area Networks
Penders, J., Gyselinckx, B., Vullers, R. J. M., Rousseaux, O., Bereković, M., Nil, M. D., Hoof, C. A. V., Ryckaert, J., Yazıcıoğlu, R. F., Fiorini, P., et al. (2007) · Springer eBooks · doi:10.1007/978-0-387-74909-9_21 · Cited by 35 · see citing works
The Role of Technology in Healthy Living Medicine
Milani, R. V., & Franklin, N. C. (2017) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2017.02.001 · Cited by 33 · see citing works
Diagnostic Decision Support Systems
Miller, R. A. (2016) · Health informatics · doi:10.1007/978-3-319-31913-1_11 · Cited by 30 · see citing works
Kurien, M., Trott, N., & Sanders, D. S. (2016) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12379 · Cited by 29 · see citing works
Sidhu, M. S., Griffith, L., Jolly, K. B., Gill, P. S., Marshall, T. P., & Gale, N. K. (2016) · Ethnicity and Health · doi:10.1080/13557858.2015.1126560 · Cited by 28 · see citing works
Improving long‐term management of epilepsy using a wearable multimodal seizure detection system
Sabesan, S., & Sankar, R. (2015) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2015.02.057 · Cited by 25 · see citing works
Wearable sensors and patient monitoring system: A Review
Deshmukh, S. D., & Shilaskar, S. (2015) · doi:10.1109/pervasive.2015.7086982 · Cited by 23 · see citing works
Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors
Xu, J., Song, L., Xu, J. Y., Pottie, G. J., & van der Schaar, M. (2016) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2016.2553648 · Cited by 22 · see citing works
Kaappa, E. S., Joutsen, A. S., Cömert, A., & Vanhala, J. J. (2017) · Research Journal of Textile and Apparel · doi:10.1108/rjta-04-2016-0007 · Cited by 22 · see citing works
Design of the New Prognosis Wearable System-Prototype for Health Monitoring of People at Risk
Pantelopoulos, A., & Bourbakis, N. (2009) · Lecture notes in electrical engineering · doi:10.1007/978-3-642-05167-8_3 · Cited by 20 · see citing works
Raja, K., Saravanan, S., Anitha, R., Priya, S. S., & Subhashini, R. (2017) · International Conference on Intelligent Systems and Control · doi:10.1109/isco.2017.7856022 · Cited by 16 · see citing works
Human++: Emerging Technology for Body Area Networks
Gyselinckx, B., Borzi, R., & Mattelaer, P. (2017) · CRC Press eBooks · doi:10.1201/9780849379970-9 · Cited by 15 · see citing works
Doty, T. J., Kellihan, B., Jung, T., Zao, J. K.-K., & Litvan, I. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20913-5_38 · Cited by 12 · see citing works
Network Coded Cooperative Communication in a Real-Time Wireless Hospital Sensor Network
Prakash, R., Ganesh, A. B., & Sivabalan, S. (2017) · Journal of Medical Systems · doi:10.1007/s10916-017-0721-8 · Cited by 12 · see citing works
Ribeiro, J. (2016) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-0069-8.ch003 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The role of artificial intelligence in healthcare: a structured literature review
Secinaro, S. F., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01488-9 · Cited by 1,203 · see citing works
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
Mennella, C., Maniscalco, U., De Pietro, G., & Esposito, M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26297 · Cited by 1,083 · see citing works
Lim, H., Kim, H. S., Qazi, R., Kwon, Y., Jeong, J., & Yeo, W. (2019) · Advanced Materials · doi:10.1002/adma.201901924 · Cited by 997 · see citing works
A Review of the Role of Artificial Intelligence in Healthcare
Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., Al Muhanna, D., & Al-Muhanna, F. A. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13060951 · Cited by 915 · see citing works
The emergence of AI-based wearable sensors for digital health technology: a review
Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023) · Sensors · doi:10.3390/s23239498 · Cited by 535 · see citing works
Dinh-Le, C., Chuang, R., Chokshi, S. K., & Mann, D. (2019) · JMIR mhealth and uhealth · doi:10.2196/12861 · Cited by 416 · see citing works
Thieme, A., Belgrave, D., & Doherty, G. (2020) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3398069 · Cited by 406 · see citing works
ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges
Serhani, M. A., Kassabi, H. T. E., Ismail, H., & Navaz, A. N. (2020) · Sensors · doi:10.3390/s20061796 · Cited by 373 · see citing works
Wearable Devices in Cardiovascular Medicine
Hughes, A. N., Shandhi, M. M. H., Master, H., Dunn, J., & Brittain, E. L. (2023) · Circulation Research · doi:10.1161/circresaha.122.322389 · Cited by 323 · see citing works
Wearable devices in clinical trials: hype and hypothesis
Izmailova, E. S., Wagner, J. A., & Perakslis, E. D. (2018) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.966 · Cited by 265 · see citing works
Zhang, M., Luo, M., Nie, R., & Zhang, Y. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.09.016 · Cited by 211 · see citing works
Al-Ayyad, M. S., Owida, H. A., Fazio, R. D., Al-Naami, B. O., & Visconti, P. (2023) · Electronics · doi:10.3390/electronics12071520 · Cited by 204 · see citing works
Paluch, A. E., Gabriel, K. P., Fulton, J. E., Lewis, C. E., Schreiner, P. J., Sternfeld, B., Sidney, S., Siddique, J., Whitaker, K. M., & Carnethon, M. R. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.24516 · Cited by 175 · see citing works
Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review
Guillodo, E., Lemey, C., Simonnet, M., Walter, M., Baca-García, E., Masetti, V., Moga, S., Larsen, M., HUGOPSY Network, Ropars, J., et al. (2020) · JMIR mHealth and uHealth · doi:10.2196/10733 · Cited by 167 · see citing works
Continuous health monitoring of sportsperson using IoT devices based wearable technology
Huifeng, W., Kadry, S. N., & Raj, E. D. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.04.025 · Cited by 155 · see citing works
Ullah, M., Hamayun, S., Wahab, A., Khan, S. U., Rehman, M. U., Haq, Z. U., Rehman, K. U., Ullah, A., Mehreen, A., Awan, U. A., et al. (2023) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2023.101922 · Cited by 150 · see citing works
Taj-Eldin, M., Ryan, C., O’Flynn, B., & Galvin, P. (2018) · Sensors · doi:10.3390/s18124271 · Cited by 142 · see citing works
Santos, M. A. G. D., Muñoz, R., Olivares, R., Filho, P. P. R., Ser, J. D., & de Albuquerque, V. H. C. (2019) · Information Fusion · doi:10.1016/j.inffus.2019.06.004 · Cited by 142 · see citing works
A Human-AI Collaborative Approach for Clinical Decision Making on Rehabilitation Assessment
Lee, M. H., Siewiorek, D. P., Smailagic, A., Bernardino, A., & Bermúdez i Badia, S. B. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445472 · Cited by 137 · see citing works
Emerging Artificial Intelligence–Empowered mHealth: Scoping Review
Bhatt, P., Liu, J., Gong, Y., Wang, J., & Guo, Y. (2022) · JMIR mhealth and uhealth · doi:10.2196/35053 · Cited by 144 · see citing works
Qi, W., & Aliverti, A. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2963048 · Cited by 131 · see citing works
Jungmann, S. M., Klan, T., Kuhn, S., & Jungmann, F. (2019) · JMIR Formative Research · doi:10.2196/13863 · Cited by 127 · see citing works
Zidaru, T., Morrow, E. M., & Stockley, R. (2021) · Health Expectations · doi:10.1111/hex.13299 · Cited by 138 · see citing works
Gerotechnology for Older Adults With Cardiovascular Diseases
Krishnaswami, A., Beavers, C. J., Dorsch, M. P., Dodson, J. A., Creber, R. M., Kitsiou, S., Goyal, P., Maurer, M. S., Wenger, N. K., Croy, D. S., et al. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.09.606 · Cited by 116 · see citing works
Liu, Y., Zhang, G., Tarolli, C. G., Hristov, R., Jensen-Roberts, S., Waddell, E. M., Myers, T. L., Pawlik, M. E., Soto, J., Wilson, R. M., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.adc9669 · Cited by 116 · see citing works
Remote Healthcare for Elderly People Using Wearables: A Review
Olmedo-Aguirre, J. O., Reyes-Campos, J., Alor‐Hernández, G., Machorro-Cano, I., Rodríguez-Mazahua, L., & Sánchez-Cervantes, J. L. (2022) · Biosensors · doi:10.3390/bios12020073 · Cited by 104 · see citing works
Anderson, M., Pitchforth, E., Asaria, M., Brayne, C., Casadei, B., Charlesworth, A., Coulter, A., Franklin, B. D., Donaldson, C., Drummond, M., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00232-4 · Cited by 104 · see citing works
Khanijahani, A., Iezadi, S., Dudley, S., Goettler, M., Kroetsch, P., & Wise, J. (2022) · Health Policy and Technology · doi:10.1016/j.hlpt.2022.100602 · Cited by 106 · see citing works
Biopotential Signal Monitoring Systems in Rehabilitation: A Review
Palumbo, A., Vizza, P., Calabrese, B., & Ielpo, N. (2021) · Sensors · doi:10.3390/s21217172 · Cited by 99 · see citing works
Pani, D., Achilli, A., & Bonfiglio, A. (2018) · Advanced Materials Technologies · doi:10.1002/admt.201800008 · Cited by 96 · see citing works
Motwani, A., Shukla, P. K., & Pawar, M. K. (2022) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2022.102431 · Cited by 97 · see citing works
Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing
Naranjo-Hernández, D., Taláminos-Barroso, A., Reina‐Tosina, J., Roa, L. M., Barbarov-Rostán, G., Cejudo, P., Martín, E. M., & Ruiz, F. Ó. (2018) · Sensors · doi:10.3390/s18072144 · Cited by 89 · see citing works
Adaptive threshold-based alarm strategies for continuous vital signs monitoring
van Rossum, M., Vlaskamp, L. B., Posthuma, L. M., Visscher, M. J., Breteler, M. J. M., Hermens, H. J., Kalkman, C. J., & Preckel, B. (2021) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-021-00666-4 · Cited by 89 · see citing works
A multi-point heart rate monitoring using a soft wearable system based on fiber optic technology
Presti, D. L., Santucci, F., Massaroni, C., Formica, D., Setola, R., & Schena, E. (2021) · Scientific Reports · doi:10.1038/s41598-021-00574-2 · Cited by 87 · see citing works
Development of the Initial Surveys for the All of Us Research Program
Cronin, R. M., Jerome, R. N., Mapes, B. M., Andrade, R., Johnston, R., Ayala, J., Schlundt, D. G., Bonnet, K. R., Kripalani, S. B., Goggins, K. M., et al. (2019) · Epidemiology · doi:10.1097/ede.0000000000001028 · Cited by 82 · see citing works
Remote patient monitoring using artificial intelligence
Jeddi, Z., & Bohr, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818438-7.00009-5 · Cited by 86 · see citing works
Kamei, T., Kanamori, T., Yamamoto, Y., & Edirippulige, S. (2020) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x20937573 · Cited by 83 · see citing works
Wireless and battery-free platforms for collection of biosignals
Stuart, T., Cai, L., Burton, A., & Gutruf, P. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2021.113007 · Cited by 76 · see citing works
Nittas, V., Lun, P., Ehrler, F., Puhan, M. A., & Mütsch, M. (2019) · Journal of Medical Internet Research · doi:10.2196/13320 · Cited by 76 · see citing works
Xing, F., Peng, G., Zhang, B., Li, S., & Liang, X. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120609 · Cited by 73 · see citing works
Li, Y., Luo, J.-H., Dai, Q., Eshraghian, J. K., Ling, B. W., Zheng, C.-Y., & Wang, X. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.104188 · Cited by 70 · see citing works
Deep learning-based ambient assisted living for self-management of cardiovascular conditions
Qureshi, M., Qureshi, K. N., Jeon, G., & Piccialli, F. (2021) · Neural Computing and Applications · doi:10.1007/s00521-020-05678-w · Cited by 66 · see citing works
Keogh, A., Argent, R., Anderson, A., Caulfield, B., & Johnston, W. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00931-2 · Cited by 64 · see citing works
Student perspectives on the integration of artificial intelligence into healthcare services
Ahmad, M. N., Abdallah, S. A., Abbasi, S. A., & Abdallah, A. M. (2023) · Digital Health · doi:10.1177/20552076231174095 · Cited by 68 · see citing works
Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic
Aggarwal, N., Ahmed, M. K., Basu, S., Curtin, J. J., Evans, B. J., Matheny, M. E., Nundy, S., Sendak, M., Shachar, C., Shah, R. U., et al. (2020) · NAM Perspectives · doi:10.31478/202011f · Cited by 63 · see citing works
Heat Health Prevention Measures and Adaptation in Older Populations—A Systematic Review
Vu, A., Rutherford, S., & Phung, D. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16224370 · Cited by 57 · see citing works
Lee, M. H., Siewiorek, D. P., Smailagic, A., Bernardino, A., & Bermúdez i Badia, S. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3415227 · Cited by 57 · see citing works
Clinicians’ perspectives on inertial measurement units in clinical practice
Routhier, F., Duclos, N. C., Lacroix, É., Lettre, J., Turcotte, É., Hamel, N., Michaud, F., Duclos, C., Archambault, P. S., & Bouyer, L. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0241922 · Cited by 54 · see citing works
Davis-Martin, R. E., Alessi, S. M., & Boudreaux, E. D. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.642813 · Cited by 54 · see citing works
A Real-Time QRS Detection Method Based on Phase Portraits and Box-Scoring Calculation
Hou, Z., Dong, Y., Xiang, J., Li, X., & Yang, B. T. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2812792 · Cited by 53 · see citing works
Searcy, R., Summapund, J., Estrin, D. L., Pollak, J. P., Schoenthaler, A., Troxel, A. B., & Dodson, J. A. (2019) · Current Geriatrics Reports · doi:10.1007/s13670-019-0270-8 · Cited by 52 · see citing works
Fong, J., Ocampo, R., Gross, D. P., & Tavakoli, M. (2020) · Journal of Occupational Rehabilitation · doi:10.1007/s10926-020-09888-w · Cited by 52 · see citing works
Lonini, L., Shawen, N., Botonis, O. K., Fanton, M., Jayaraman, C., Mummidisetty, C. K., Shin, S. Y., Rushin, C. C., Jenz, S. T., Xu, S., et al. (2021) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2021.3058841 · Cited by 51 · see citing works
Salazar-Reyna, R., Aleu, F. G., Gutiérrez, E. M. A. G., Díaz-Ramírez, J., Garza‐Reyes, J. A., & Kumar, A., V (2020) · Management Decision · doi:10.1108/md-01-2020-0035 · Cited by 53 · see citing works
A Systematic Review of Wearable Systems for Cancer Detection: Current State and Challenges
Ray, P. P., Dash, D., & De, D. (2017) · Journal of Medical Systems · doi:10.1007/s10916-017-0828-y · Cited by 50 · see citing works
Zhang, Z., Amegbor, P. M., Sigsgaard, T., & Sabel, C. E. (2022) · Health & Place · doi:10.1016/j.healthplace.2022.102924 · Cited by 50 · see citing works
An Infrastructure Framework for Remote Patient Monitoring Interventions and Research
Claggett, J. L., Petter, S., Joshi, A. M., Ponzio, T. A., & Kirkendall, E. S. (2024) · Journal of Medical Internet Research · doi:10.2196/51234 · Cited by 55 · see citing works
IoT-Based Services and Applications for Mental Health in the Literature
Díez, I. D. L. T., Alonso, S. G., Hamrioui, S., Cruz, E. M., Nozaleda, L. M., & Franco, M. (2018) · Journal of Medical Systems · doi:10.1007/s10916-018-1130-3 · Cited by 47 · see citing works
Wearables research for continuous monitoring of patient outcomes: A scoping review
Lodewyk, K., Wiebe, M., Dennett, L., Larsson, J., Greenshaw, A. J., & Hayward, J. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000860 · Cited by 52 · see citing works
Barriers to the Diffusion of Medical Technologies Within Healthcare: A Systematic Review
Warty, R. R., Smith, V., Salih, M., Fox, D. J., McArthur, S. L., & Mol, B. W. (2021) · IEEE Access · doi:10.1109/access.2021.3118554 · Cited by 43 · see citing works
Areia, C. M., Young, L., Vollam, S., Ede, J., Santos, M., Tarassenko, L., & Watkinson, P. (2020) · JMIR mhealth and uhealth · doi:10.2196/20214 · Cited by 42 · see citing works
Pernice, R., Antonacci, Y., Zanetti, M., Busacca, A., Marinazzo, D., Faes, L., & Nollo, G. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.602584 · Cited by 42 · see citing works
Cohen, S. A., Waks, Z., Elm, J. J., Gordon, M. F., Grachev, I. D., Navon-Perry, L., Fine, S., Grossman, I., Papapetropoulos, S., & Savola, J. (2018) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-018-0714-7 · Cited by 40 · see citing works
Xu, H., Li, P., Yang, Z., Liu, X., Wang, Z., Yan, W., He, M., Chu, W., She, Y., Li, Y., et al. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-01653-z · Cited by 41 · see citing works
Version Reporting and Assessment Approaches for New and Updated Activity and Heart Rate Monitors
Collins, T., Woolley, S. I., Oniani, S., Pires, I. M., García, N. M., Ledger, S., & Pandyan, A. D. (2019) · Sensors · doi:10.3390/s19071705 · Cited by 38 · see citing works
An IoT based ECG system to diagnose cardiac pathologies for healthcare applications in smart cities
Morello, R., Ruffa, F., Jabłoński, I., Fabbiano, L., & Capua, C. D. (2022) · Measurement · doi:10.1016/j.measurement.2021.110685 · Cited by 39 · see citing works
The Beginning of a New Era: Artificial Intelligence in Healthcare
Kumar, A., Gadag, S., & Nayak, U. Y. (2020) · Advanced Pharmaceutical Bulletin · doi:10.34172/apb.2021.049 · Cited by 39 · see citing works
Ensembled Deep Learning for the Classification of Human Sperm Head Morphology
Lindsay, S., Fernando, J. E. M., Akbaridoust, F., Ackermann, K., & Nosrati, R. (2022) · Advanced Intelligent Systems · doi:10.1002/aisy.202200111 · Cited by 38 · see citing works
Min, W. K., Won, C., Kim, D. H., Lee, S., Chung, J., Cho, S., Lee, T., & Kim, H. J. (2023) · Advanced Materials · doi:10.1002/adma.202303556 · Cited by 36 · see citing works
Intelligent health monitoring system based on smart clothing
Lin, C., Yang, C., Zhou, Z., & Wu, S. (2018) · International Journal of Distributed Sensor Networks · doi:10.1177/1550147718794318 · Cited by 36 · see citing works
Ahn, H., & Park, E. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101810 · Cited by 36 · see citing works
Rens, N. E., Gandhi, N., Mak, J., Paul, J., Bent, D., Liu, S., Savage, D. M., Nielsen-Bowles, H., Triggs, D., Ata, G., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247834 · Cited by 34 · see citing works
Leveraging AI for Enhanced Quality Assurance in Medical Device Manufacturing
Khinvasara, T., Ness, S., & Shankar, A. (2024) · Asian Journal of Research in Computer Science · doi:10.9734/ajrcos/2024/v17i6454 · Cited by 34 · see citing works
Keogh, A., Taraldsen, K., Caulfield, B., & Vereijken, B. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00874-8 · Cited by 34 · see citing works
Agyeman, M. O., Guerrero, A. F., & Vien, Q. (2022) · IEEE Access · doi:10.1109/access.2022.3192390 · Cited by 34 · see citing works
Sharing patient-generated data with healthcare providers: findings from a 2019 national survey
Turner, K., Jo, A., Wei, G., Tabriz, A. A., Clary, A., & Jim, H. S. L. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa272 · Cited by 33 · see citing works
Donckt, J. V. D., Vandenbussche, N., Donckt, J. V. D., Chen, S., Stojchevska, M., Brouwer, M. D., Steenwinckel, B., Paemeleire, K., Ongenae, F., & Hoecke, S. V. (2024) · Scientific Reports · doi:10.1038/s41598-024-67767-3 · Cited by 35 · see citing works
Poncette, A.-S., Mosch, L. K., Stablo, L., Spies, C., Schieler, M., Weber‐Carstens, S., Feufel, M. A., & Balzer, F. (2021) · JMIR Human Factors · doi:10.2196/30655 · Cited by 32 · see citing works
Wearable technology for infant health monitoring: a survey
Memon, S. F., Memon, M. A., & Bhatti, S. (2019) · IET Circuits Devices & Systems · doi:10.1049/iet-cds.2018.5447 · Cited by 31 · see citing works
Muangprathub, J., Sriwichian, A., Wanichsombat, A., Kajornkasirat, S., Nillaor, P., & Boonjing, V. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182312652 · Cited by 30 · see citing works
Moorthy, P., Weinert, L., Schüttler, C., Svensson, L., Sedlmayr, B., Müller, J., & Nagel, T. (2024) · JMIR mhealth and uhealth · doi:10.2196/52179 · Cited by 30 · see citing works
Baniasadi, T., Kalhori, S. R. N., Ayyoubzadeh, S. M., Zakerabasali, S., & Pourmohamadkhan, M. (2018) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x18804747 · Cited by 28 · see citing works
eHealth Literacy of Australian Undergraduate Health Profession Students: A Descriptive Study
Mather, C. A., Cheng, C. C., Douglas, T., Elsworth, G. R., & Osborne, R. H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191710751 · Cited by 27 · see citing works
Roblyer, D. M. (2020) · Journal of Biomedical Optics · doi:10.1117/1.jbo.25.10.102703 · Cited by 29 · see citing works
Maher, C. A., Szeto, K., & Arnold, J. B. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-07096-7 · Cited by 26 · see citing works
Zhang, Y., Fang, Y., Xu, Y., Xiong, P., Zhang, J., Yang, J., Li, R., & Tan, X. (2020) · Brain and Behavior · doi:10.1002/brb3.1599 · Cited by 26 · see citing works
Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals
Bizzego, A., Gabrieli, G., Furlanello, C., & Esposito, G. (2020) · Sensors · doi:10.3390/s20236778 · Cited by 25 · see citing works
An Investigation of Different Machine Learning Approaches for Epileptic Seizure Detection
Resque, P., Barros, A., do Rosário, D. L., & Cerqueira, E. (2019) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc.2019.8766652 · Cited by 25 · see citing works
Baumann, A. P., O'Neill, C., Owens, M. C., Weber, S. C., Sivan, S., D’Amico, R., Carmody, S., Bini, S. A., Sawyer, A., Lotz, J. C., et al. (2020) · Journal of Orthopaedic Research® · doi:10.1002/jor.24833 · Cited by 25 · see citing works
Wearable Devices for Remote Monitoring of Chronic Diseases: Systematic Review
Tegegne, M. D., Kalhori, S. R. N., Haas, P., Sobotta, V. M. G., Warnecke, J. M., & Deserno, T. M. (2025) · JMIR mhealth and uhealth · doi:10.2196/74071 · Cited by 31 · see citing works
Sriraam, N., Srinivasulu, A., & Prakash, V. S. R. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3296512 · Cited by 24 · see citing works
Seamless connectivity architecture and methods for IoT and wearable devices
Celić, L., & Magjarević, R. (2019) · Automatika · doi:10.1080/00051144.2019.1660036 · Cited by 24 · see citing works
Xu, H., Yan, W., Lan, K., Ma, C., Wu, D., Wu, A., Yang, Z., Wang, J., Zang, Y., Yan, M., et al. (2021) · JMIR mhealth and uhealth · doi:10.2196/25415 · Cited by 26 · see citing works
The Influence of AI: The Revolutionary Effects of Artificial Intelligence in Healthcare Sector
Saxena, A. K., Ness, S., & Khinvasara, T. (2024) · Journal of Engineering Research and Reports · doi:10.9734/jerr/2024/v26i31092 · Cited by 23 · see citing works
Aungst, T. D., Franzese, C., & Kim, Y. A. (2020) · JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · doi:10.1002/jac5.1382 · Cited by 23 · see citing works
Hosseini, M. J., Yang, Y., Kruger, W., Yokota, T., Lee, S., Someya, T., & Nawrocki, R. A. (2023) · npj Flexible Electronics · doi:10.1038/s41528-023-00267-y · Cited by 23 · see citing works
Stand-Alone Wearable System for Ubiquitous Real-Time Monitoring of Muscle Activation Potentials
Mazzetta, I., Gentile, P., Pessione, M., Suppa, A., Zampogna, A., Bianchini, E., & Irrera, F. (2018) · Sensors · doi:10.3390/s18061748 · Cited by 23 · see citing works
Baig, M. M., GholamHosseini, H., Gutiérrez, J., Ullah, E., & Lindén, M. (2021) · Applied Clinical Informatics · doi:10.1055/s-0040-1719043 · Cited by 22 · see citing works
Self-citationRuyobeza, B., Grobbelaar, S. S. S., & Botha, A. (2022) · Systematic Reviews · doi:10.1186/s13643-022-02033-z · Cited by 22 · see citing works
- Authors
- Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & Lindén, M.
- Affiliations
- Auckland University of Technology (NZ)
- Corresponding author
- Baig, Mirza Mansoor
- Venue
- Journal of Medical Systems
- Published
- 2017-06-19
- Volume
- 41
- Issue
- 7
- Pages
- 115-115
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2625326488
- Cited by
- 351
- References
- 64
- Citations by year
- 2026: 30 · 2025: 52 · 2024: 37 · 2023: 36 · 2022: 38 · 2021: 54 · 2020: 50 · 2019: 27 · 2018: 22 · 2017: 5
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- wearable sensors, clinical adoption, interoperability, clinical usability, chronic disease monitoring, rehabilitation, cardiovascular disease, fall detection, mental health monitoring, wireless data collection, communication platforms, machine learning in healthcare, artificial intelligence in healthcare
- MeSH terms
- Artificial Intelligence, Delivery of Health Care, Humans, Monitoring, Physiologic, Software
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
