Smart wearable systems: Current status and future challenges
Abstract
Objective Extensive efforts have been made in both academia and industry in the research and development of smart wearable systems (SWS) for health monitoring (HM). Primarily influenced by skyrocketing healthcare costs and supported by recent technological advances in micro- and nanotechnologies, miniaturisation of sensors, and smart fabrics, the continuous advances in SWS will progressively change the landscape of healthcare by allowing individual management and continuous monitoring of a patient's health status. Consisting of various components and devices, ranging from sensors and actuators to multimedia devices, these systems support complex healthcare applications and enable low-cost wearable, non-invasive alternatives for continuous 24-h monitoring of health, activity, mobility, and mental status, both indoors and outdoors. Our objective has been to examine the current research in wearable to serve as references for researchers and provide perspectives for future research.Methods Herein, we review the current research and development of and the challenges facing SWS for HM, focusing on multi-parameter physiological sensor systems and activity and mobility measurement system designs that reliably measure mobility or vital signs and integrate real-time decision support processing for disease prevention, symptom detection, and diagnosis. For this literature review, we have chosen specific selection criteria to include papers in which wearable systems or devices are covered.Results We describe the state of the art in SWS and provide a survey of recent implementations of wearable health-care systems. We describe current issues, challenges, and prospects of SWS.Conclusion We conclude by identifying the future challenges facing SWS for HM.
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Preliminary results for wearable systems are promising, but there is a strong need for larger, long-term and well designed clinical studies to make these novel solutions applicable in real-life patients' care.
“Preliminary results are promising but there is a strong need for larger, long-term and well designed clinical studies to make these novel solutions really applicable in real-life patients’ care [82–86].”
These kinds of tasks appeared because real-world health monitoring systems usually deal with unlabeled and continuous data.
“These kinds of tasks appeared due to this fact that of real-world health monitoring systems are usually dealing with unlabeled and continuous data [17].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [17]
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References 205 · Cited by 953
- Authors
- Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., & Campo, E.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- ORCID
- Escriba, Christophe
- Venue
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 56
- Issue
- 3
- Pages
- 137-156
- ISSN
- 0933-3657 (ISSN-L)
- OpenAlex
- W2079841778
- Cited by
- 953
- References
- 205
- Citations by year
- 2026: 27 · 2025: 65 · 2024: 94 · 2023: 69 · 2022: 66 · 2021: 79 · 2020: 75 · 2019: 78 · 2018: 105 · 2017: 81 · 2016: 83 · 2015: 66 · 2014: 45 · 2013: 17 · 2012: 2
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Artificial Intelligence in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- health monitoring, physiological sensors, smart textiles, non-invasive monitoring, real-time decision support, disease prevention, symptom detection, wearable healthcare devices
- MeSH terms
- Clothing, Confidentiality, Equipment and Supplies, Equipment Design, Home Care Services, Humans, Self-Help Devices, Telemedicine, Monitoring, Ambulatory, Disease Management, Wireless Technology
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