The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
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.
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In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
Citations
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
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
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
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
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
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
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
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
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
Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452
Research works printed but not linked: 2
- O’Shaughnessy, C., The Basics: National Spending for Long-Term Services and Supports. 2012. National Health Policy Forum, George Washington University, Washington DC, 2013.
- Wu, J., et al., The promising future of healthcare services: When big data analytics meets wearable technology. Inf. Manag. 53(8):1020–1033, 2016. · DOI
Cited by
Sorted by citations
Items 201–300 of 350
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AbuKhousa, E. (2017) · Journal of Healthcare Communications · doi:10.4172/2472-1654.100108 · Cited by 4
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Andersen, A. B., & Mihovska, A. (2019) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-23976-3_4 · Cited by 5
Design of an Open Remote Electrocardiogram (ECG) Service
Ciuffoletti, A. (2019) · Future Internet · doi:10.3390/fi11040101 · Cited by 5
Buono, F. D., Polonsky, M., Sprong, M. E., Aviles, A., & Cutter, C. J. (2023) · Drug and Alcohol Dependence Reports · doi:10.1016/j.dadr.2023.100202 · Cited by 3
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Fernández-Luque, L., Núñez-Benjumea, F. J., Cervera‐Torres, S., Guerra, J. L. L., Liao, Z. X., Pagán, J. A., & Zambrana, F. R. (2022) · Cognitive informatics in biomedicine and healthcare · doi:10.1007/978-3-031-07696-1_9 · Cited by 3
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Internet of Things (IoT) and Data Analytics for Realizing Remote Patient Monitoring
Bharath, A., & Sheeba, G. M. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-6586-1_29 · Cited by 3
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Zeleke, S. N., & Bochicchio, M. A. (2024) · Lecture notes in bioengineering · doi:10.1007/978-3-031-63913-5_11 · Cited by 3
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Rajagopalan, R. (2019) · Lecture notes in networks and systems · doi:10.1007/978-3-030-12388-8_29 · Cited by 3
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Hytönen, R., Tshala, A., Schreier, J., Holopainen, M., Forsman, A., Oksanen, M., Findling, R. D., Nguyen, L. N., Sigg, S., & Jähne-Raden, N. (2020) · International Conference on Mobility, Sensing and Networking (MSN) · doi:10.1109/msn50589.2020.00029 · Cited by 3
Iliescu, B. F., Mancaşi, N. V., Ilie, I. D., MANCAŞI, I., Costăchescu, B., & Rotariu, D. I. (2023) · Sensors · doi:10.3390/s23052573 · Cited by 4
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Stenner, S. P., Rice, W., & Nelson, S. D. (2020) · Applied Clinical Informatics · doi:10.1055/s-0040-1713413 · Cited by 3
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Vyas, P., & Pandit, D. (2018) · Preprints.org · doi:10.20944/preprints201807.0488.v1 · Cited by 3
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Padiyath, A., Pratap, J. “., & Allan F. Simpao, M. (2024) · Journal of Medical Systems · doi:10.1007/s10916-024-02123-6 · Cited by 3
Clark, S. E., Mathur, S., Barrado‐Martín, Y., El-Sayed, A., Zhao, Y., Khadjesari, Z., Stevenson, F. A., Lovat, L. B., & Vindrola‐Padros, C. (2025) · medRxiv · doi:10.1101/2025.06.19.25329916 · Cited by 3
Moorthy, P. (2023) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3594739.3610767 · Cited by 2
Petsani, D., Kehayia, E., Konstantinidis, E. I., Athanasopoulos, N., Tsimpita, K., Tzotzis, A., Doumas, M. N., & Bamidis, P. D. (2024) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3652037.3663933 · Cited by 2
Maguraushe, K., & Ndayizigamiye, P. (2024) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-63999-9_7 · Cited by 2
Wearable-Based Mental Health Monitoring Platforms: Design Principles for Onboarding Users
Kittelmann, L., Reindl-Spanner, P., Prommegger, B., Gensichen, J. S., & Krcmar, H. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93505-3_13 · Cited by 2
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Mülayim, B. B., & Bulut, S. (2026) · Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.47495/okufbed.1759447 · Cited by 2
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Thayananthan, V., & Basuhail, A. A. (2017) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2017.081251 · Cited by 2
A Domains Oriented Framework of Recent Machine Learning Applications in Mobile Mental Health
Theilig, M.-M., Blankenhagel, K. J., & Zarnekow, R. (2018) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-01087-4_20 · Cited by 2
Technology as a Pathway for Older People to Engage in Activities Promoting Successful Ageing
Teixeira-Santos, L., Campos, E. B., Ventura, F. I. Q. S., Parola, V. S. D. O., Coelho, A., Almeida, M., Gil, I., Moreno‐Casbas, T., & Apóstolo, J. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-5295-0.ch034 · Cited by 2
Tadisetti, P., Cheedella, H. K., & Pelluri, R. (2022) · Journal of Applied Pharmaceutical Science · doi:10.7324/japs.2022.120918 · Cited by 2
Johnson, E. A., Rainbow, J. G., & Carrington, J. M. (2023) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000001013 · Cited by 2
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Wang, Y., Zhao, Z., & Li, J. (2023) · Chinese Journal of Electrical Engineering · doi:10.23919/cjee.2023.000016 · Cited by 2
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Sharma, S., Sharma, V., Mishra, D., & Nagar, A. (2024) · International Journal of Pharma Professional’s Research (IJPPR) · doi:10.69580/ijppr.15.2.2024.52-66 · Cited by 2
Optimizing efficiency and safety in day surgery: perspectives from China
Xu, Y., Sun, H., Liu, Q., & Liang, P. (2025) · Anesthesiology and Perioperative Science · doi:10.1007/s44254-025-00132-3 · Cited by 2
Nzomo, M., & Moodley, D. (2026) · Semantic Web · doi:10.1177/22104968261431426 · Cited by 5
Assessing Data Traffic Classification to Priority Access for Wireless Healthcare Application
Resque, P., Pinheiro, S., do Rosário, D. L., Cerqueira, E., Vergütz, A., Nogueira, M., & dos Santos, A. L. (2019) · IEEE Latin-American Conference on Communications · doi:10.1109/latincom48065.2019.8937872 · Cited by 2
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Gorczyński, P., Primke, M., Czmoch, S., Śniatała, K., Żytka, Ł., Misiuvianets, D., Naughton, V. R., & Grzelak, T. (2021) · Journal of Health Inequalities · doi:10.5114/jhi.2021.112713 · Cited by 2
da Silva, F. A. C., Pereira, M. R., & Freire, A. P. (2022) · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · doi:10.1145/3535511.3535557 · Cited by 2
Buhr, L., Kaufmann, P. L. M., & Jörß, K. (2022) · JMIR Cardio · doi:10.2196/34959 · Cited by 2
Critical Analysis of Validation Methods for Machine Learning Models Used in E-health Applications
Yatbaz, H. Y., Yazıcı, A., & Ever, E. (2022) · International Conference on Information Science and Communications Technologies (ICISCT) · doi:10.1109/icisct55600.2022.10146901 · Cited by 2
Towards Integrative Multi-Modal Personal Health Navigation Systems: Framework and ApplicationPreprint
Nag, N., Oh, H., Tang, M., Shi, M., & Jain, R. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.10403 · Cited by 3
Polanco, C., Posadas‐Sánchez, R., & Vargas‐Alarcón, G. (2023) · Preprints.org · doi:10.20944/preprints202308.1777.v1 · Cited by 2
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Chauhan, H. P., & Patil, K. P. (2021) · Journal of Pharmaceutical Research International · doi:10.9734/jpri/2021/v33i35b31895 · Cited by 1
Tung, J. Y., Gower, S., Ooteghem, K. V., Nouredanesh, M., & Gage, W. H. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818914-6.00008-9 · Cited by 2
An Overview of the Application of Artificial Intelligence in Hospital Management in India
Agnihotri, M. A., & Pandit, A. (2022) · Advances in business information systems and analytics book series · doi:10.4018/978-1-6684-4950-9.ch002 · Cited by 1
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Potluri, R. M., & Vajjhala, N. R. (2024) · Advances in business information systems and analytics book series · doi:10.4018/979-8-3693-0255-2.ch007 · Cited by 1
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Qin, X., Zhang, Z., Zheng, S., Huang, Y., Cai, J., Chen, C., Xu, Z., & Shiju, E. (2024) · Advanced Materials Technologies · doi:10.1002/admt.202400080 · Cited by 1
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Chandrakala, C. B., Pooja, S., Pujari, C., Ketavarapu, S., Awatramani, S., & Gohil, S. (2025) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v19i12.51525 · Cited by 1
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Babu, L. G., Raja, M. S., Suresh Kumar, K., Samarasam, B., Girimurugan, R., & Ramachandran, G. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33514-3.00013-7 · Cited by 1
Healthcare Applications of Artificial Intelligence
El‐Dahiyat, F., Alomari, M., Hammour, K. A., Omari, R. H. A., & Refae, G. A. E. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-96631-6_24 · Cited by 1
Kwack, S., Kim, S., & Lee, Y. (2025) · The Korean Society of Costume · doi:10.7233/jksc.2025.75.6.127 · Cited by 1
Kim, H.-S., Li, M., Kim, Y., Ryu, S. Y., An, J. S., Li, M., Lee, Y. P., Park, J., Park, K. K., & Kim, T. W. (2026) · Advanced Materials Technologies · doi:10.1002/admt.71081 · Cited by 1
Capodici, A., Filippeschi, A., Noci, F., Michelucci, A., Motarajji, S. E., Benedetto, V., Vandelli, A., Passino, C., Emdin, M., Nuti, S., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0351885 · Cited by 2
Maddala, T. K. K., & Polurie, V. V. K. (2020) · IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) · doi:10.1109/upcon50219.2020.9376471 · Cited by 1
Validation, verification, and reliability
Harte, R., Laighin, G. Ó., & Quinlan, L. R. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818914-6.00009-0 · Cited by 1
Effectiveness of smart wrist wearables for distinguishing physical and cognitive demands
Cha, J. S., Ausri, F., Mudge, L., & Yu, D. (2022) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2022.2142867 · Cited by 1
Wang, Y., Wang, J., Zhang, J., Luo, Z., Guo, Y., Zhang, Z., & Yu, P. (2023) · PubMed Central · doi:10.7507/1001-5515.202305007 · Cited by 1
On the Use of Personalized Models for Blood Glucose Concentration Prediction
Puccinelli, N., Piccoli, F., & Napoletano, P. (2023) · IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin) · doi:10.1109/icce-berlin58801.2023.10375621 · Cited by 1
Existe diferença entre o registro da frequência cárdica entre monitores Xiaomi e Polar?
Fernandes, H. A., Souza, H. D. S., Filippini, R. S., & Marins, J. C. B. (2024) · Cuadernos de Educación y Desarrollo · doi:10.55905/cuadv16n8-014 · Cited by 1
Kim, J., & Kim, J. (2024) · Textile Research Journal · doi:10.1177/00405175241261401 · Cited by 1
Apetorgbor, M., Dulewale, N., & Dhawale, C. A. (2024) · Parul International Conference on Engineering and Technology (PICET) · doi:10.1109/picet60765.2024.10716128 · Cited by 1
Tecnologias vestíveis no monitoramento de cardiopatias: uma revisão de literatura
Chirieleison, C. A. M., Cezar, M. E. N., de Almeida, L. P. C., Porto, C. C. F. N., Santos, J. P., Silva, Y. R. D., Brêda, M. B. C., & Araújo, D. N. (2024) · Cuadernos de Educación y Desarrollo · doi:10.55905/cuadv16n12-031 · Cited by 1
Functional characteristics of sleep monitoring devices in China: A real-world cross-sectional study
Yang, L., Weng, B., Xu, X., Huang, Z., Ding, R., Si, M., Fu, Y., Zhu, Y., Jiang, Y. X., Rao, B., et al. (2025) · Digital Health · doi:10.1177/20552076251320752 · Cited by 1
Wearable Health Technology—a Perspective
Dehankar, P., & Das, S. (2025) · Information systems engineering and management · doi:10.1007/978-3-031-76152-2_3 · Cited by 3
Borgianni, L., Ottella, M., Heer, R., Montiel-Nelson, J. A., Pau, D. P., Proietti, R., Schotter, J., & Tarvainen, M. P. (2025) · Smart Systems Integration Conference and Exhibition (SSI) · doi:10.1109/ssi65953.2025.11107204 · Cited by 2
Maintenance of complex, converged, and interoperable medical device/information systems
Sloane, E. B., & Silva, R. J. (2019) · Clinical Engineering Handbook · doi:10.1016/b978-0-12-813467-2.00088-2 · Cited by 1
Akhtar, N., Kelly, M. G., Scott, W. N., & Connolly, J. (2020) · Irish Signals and Systems Conference · doi:10.1109/issc49989.2020.9180194 · Cited by 1
Information Quality Assessment for the Medical Wearable Devices: Validation Study
Alrae, R., AbuTalib, M., & Nasir, Q. (2020) · International Conference on Innovations in Information Technology · doi:10.1109/iit50501.2020.9299104 · Cited by 1
Recent Trends and Opportunities of Remote Multi- Parameter PMS using IoT
Nair, R. S., Lawrence, J. M., Vyakaranam, A., Svpk, S. D., Shameem, S., Sulo, R., Zainuddin, A. A., Noor, N. A. M., & Mansor, A. F. M. (2021) · East Indonesia Conference on Computer and Information Technology (EIConCIT) · doi:10.1109/eiconcit50028.2021.9431926 · Cited by 1
Kim, J. P., Tsungmey, T., Rostami, M., Mondal, S., Kasun, M., & Roberts, L. W. (2021) · Ethics & Behavior · doi:10.1080/10508422.2021.1957678 · Cited by 1
Artificial intelligence applications in pulmonology and its advantages during the pandemic period
Özçelik, N., & Selimoğlu, İ. (2021) · Tuberkuloz ve Toraks · doi:10.5578/tt.20219710 · Cited by 1
Uso de tecnología en rehabilitación
Pilar Alvial, P. (2018) · Revista Hospital Clínico Universidad de Chile · doi:10.5354/2735-7996.2018.70385 · Cited by 1
On-line Remote EKG as a Web ServicePreprint
Ciuffoletti, A. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1901.00724 · Cited by 1
Role of Continuous Glucose Monitoring Technology for Type 2 Diabetes Management
Taylor, P. (2019) · Adelaide Research & Scholarship (AR&S) (University of Adelaide)
Technology as a Pathway for Older People to Engage in Activities Promoting Successful Ageing
Teixeira-Santos, L., Campos, E. B., Ventura, F. I. Q. S., Parola, V. S. D. O., Coelho, A., Almeida, M., Gil, I., Moreno‐Casbas, T., & Apóstolo, J. (2020) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-7998-1937-0.ch005
Electrode pad suitability for repeated application to the head and neck
Phillips, J. S., Newman, J. L., Garioch, J., & Nunney, I. (2020) · Health and Technology · doi:10.1007/s12553-020-00444-3
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Chen, W., Karmakar, R. S., Liao, Y., & Lu, Y. (2021) · Macromolecular Materials and Engineering · doi:10.1002/mame.202100130
RetractedLem, F. F., Lee, D. J. H., Teong, W. Z., Wong, Y. Y., Chin, S. N., Sazonov, E. E., & Chee, F. T. (2021) · doi:10.2196/preprints.34839
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Xu, H., Yang, Z., Lan, K., Yan, W., Wang, Z., Wang, J., Zang, Y., Pan, J., Yan, M., & Zhang, Z. (2022) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-06368-8_1
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Metadata
- 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
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