Digital Twins for Healthcare Using Wearables
Open accessAbstract
Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is in large part due to their ability to update in real time to their physical counterparts and connect across multiple devices. As a result, much interest has been directed towards using digital twins in the healthcare industry. Recent advancements in smart wearable technologies have allowed for the utilization of human digital twins in healthcare. Human digital twins can be generated using biometric data from the patient gathered from wearables. These data can then be used to enhance patient care through a variety of means, such as simulated clinical trials, disease prediction, and monitoring treatment progression remotely. This revolutionary method of patient care is still in its infancy, and as such, there is limited research on using wearables to generate human digital twins for healthcare applications. This paper reviews the literature pertaining to human digital twins, including methods, applications, and challenges. The paper also presents a conceptual method for creating human body digital twins using wearable sensors.
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- Authors
- Johnson, Z., & Saikia, M. J.
- Affiliations
- University of North Florida (US)
- Corresponding author
- Saikia, Manob Jyoti
- ORCID
- Saikia, Manob Jyoti
- Venue
- Bioengineering
- Publisher
- MDPI AG
- Published
- 2024-06-13
- Volume
- 11
- Issue
- 6
- Pages
- 606
- ISSN
- 2306-5354 (ISSN-L)
- PMC
- PMC11200512
- OpenAlex
- W4399679793
- Cited by
- 74
- References
- 98
- Citations by year
- 2026: 35 · 2025: 35 · 2024: 4
- FWCI
- 6.54
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Bioengineering (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- digital twin, human digital twin, wearable sensors, biometric data, remote patient monitoring, disease prediction
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