A Wearable Health Care System Based on Knitted Integrated Sensors
Abstract
A comfortable health monitoring system named WEALTHY is presented. The system is based on a textile wearable interface implemented by integrating sensors, electrodes, and connections in fabric form, advanced signal processing techniques, and modern telecommunication systems. Sensors, electrodes and connections are realized with conductive and piezoresistive yarns. The sensorized knitted fabric is produced in a one step process. The purpose of this paper is to show the feasibility of a system based on fabric sensing elements. The capability of this system to acquire simultaneously several biomedical signals (i.e. electrocardiogram, respiration, activity) has been investigated and compared with a standard monitoring system. Furthermore, the paper presents two different methodologies for the acquisition of the respiratory signal with textile sensors. Results show that the information contained in the signals obtained by the integrated systems is comparable with that obtained by standard sensors. The proposed system is designed to monitor individuals affected by cardiovascular diseases, in particular during the rehabilitation phase. The system can also help professional workers who are subject to considerable physical and psychological stress and/or environmental and professional health risks.
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Electronic shoes have been utilized to assess the walking ability of elderly patients with lumbar spinal stenosis.
“In another study, electronic shoes have been utilized to assess the walking ability of elderly patients with lumbar spinal stenosis.42”
From Wearables in Medicine (2018) · cites this paper as [42]
Cites
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289 · see citing works
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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
A survey on ambient-assisted living tools for older adults
Rashidi, P., & Mihailidis, A. (2013) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2012.2234129 · Cited by 1,128 · see citing works
Wearable health devices-vital sign monitoring, systems and technologies
Dias, D., & Paulo Silva Cunha, J. (2018) · Sensors · doi:10.3390/s18082414 · Cited by 919 · see citing works
Extremely Elastic Wearable Carbon Nanotube Fiber Strain Sensor for Monitoring of Human Motion
Ryu, S., Lee, P., Chou, J. B., Xu, R., Zhao, R., Hart, A. J., & Kim, S.-G. (2015) · ACS Nano · doi:10.1021/acsnano.5b00599 · Cited by 770 · see citing works
Yetisen, A. K., Martinez‐Hurtado, J. L., Ünal, B., Khademhosseini, A., & Butt, H. (2018) · Advanced Materials · doi:10.1002/adma.201706910 · Cited by 569 · see citing works
Emerging flexible and wearable physical sensing platforms for healthcare and biomedical applications
Kenry, Yeo, J. C., & Lim, C. T. (2016) · Microsystems & Nanoengineering · doi:10.1038/micronano.2016.43 · Cited by 550 · see citing works
BIOTEX—Biosensing Textiles for Personalised Healthcare Management
Coyle, S., Lau, K.-T., Moyna, N., O'Gorman, D., Diamond, D., Di Francesco, F., Costanzo, D., Salvo, P., Trivella, M. G., De Rossi, D. E., et al. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2038484 · Cited by 330 · see citing works
Self-citationEpidermal Biofuel Cells: Energy Harvesting from Human Perspiration
Jia, W., Valdés‐Ramírez, G., Bandodkar, A. J., Windmiller, J. R., & Wang, J. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201302922 · Cited by 324 · see citing works
Privacy in mobile technology for personal healthcare
Avancha, S., Baxi, A., & Kotz, D. (2012) · ACM Computing Surveys · doi:10.1145/2379776.2379779 · Cited by 229 · see citing works
Review—Textile Based Chemical and Physical Sensors for Healthcare Monitoring
Hatamie, A., Angizi, S., Kumar, S., Pandey, C. M., Simchi, A., Willander, M., & Malhotra, B. D. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab6827 · Cited by 184 · see citing works
Validation of the Hexoskin wearable vest during lying, sitting, standing, and walking activities
Villar, R., Beltrame, T., & Hughson, R. L. (2015) · Applied Physiology Nutrition and Metabolism · doi:10.1139/apnm-2015-0140 · Cited by 178 · see citing works
A privacy framework for mobile health and home-care systems
Kotz, D., Avancha, S., & Baxi, A. (2009) · Proceedings of the first ACM workshop on Security and privacy in medical and home-care systems · doi:10.1145/1655084.1655086 · Cited by 127 · see citing works
Van Daele, T., Karekla, M., Kassianos, A. P., Compare, A., Haddouk, L., Salgado, J., Ebert, D. D., Trebbi, G., Bernaerts, S., Van Assche, E., et al. (2020) · Journal of Psychotherapy Integration · doi:10.1037/int0000218 · Cited by 122 · see citing works
Smart textile using hetero-core optical fiber for heartbeat and respiration monitoring
Koyama, Y., Nishiyama, M., & Watanabe, K. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2847333 · Cited by 126 · see citing works
Lanatà, A., Scilingo, E. P., Nardini, E., Loriga, G., Paradiso, R., & De-Rossi, D. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2037614 · Cited by 111 · see citing works
Self-citationAcceptability and usability of an ambulatory health monitoring system for use by military personnel
Tharion, W. J., Buller, M. J., Potter, A. W., Karis, A. J., Goetz, V., & Hoyt, R. W. (2013) · IIE Transactions on Occupational Ergonomics and Human Factors · doi:10.1080/21577323.2013.838195 · Cited by 27 · see citing works
- Authors
- Paradiso, R., Loriga, G., & Taccini, N.
- Affiliations
- Smartex (Italy) (IT)
- ORCID
- Paradiso, R.
- Venue
- IEEE Transactions on Information Technology in Biomedicine
- Published
- 2005-09
- Volume
- 9
- Issue
- 3
- Pages
- 337-344
- ISSN
- 1089-7771 (ISSN-L)
- OpenAlex
- W2142034317
- Cited by
- 729
- References
- 1
- Citations by year
- 2026: 20 · 2025: 9 · 2024: 22 · 2023: 19 · 2022: 38 · 2021: 43 · 2020: 47 · 2019: 48 · 2018: 45 · 2017: 45 · 2016: 48 · 2015: 46 · 2014: 44 · 2013: 39 · 2012: 40
- FWCI
- 14.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Information Technology in Biomedicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- wearable health monitoring, conductive yarns, electrocardiogram, activity monitoring, occupational health surveillance, telemedicine
- MeSH terms
- Clothing, Diagnosis, Computer-Assisted, Electrocardiography, Equipment Design, Spirometry, Telemetry, Textiles, Transducers, Telemedicine, Systems Integration, Monitoring, Ambulatory, Equipment Failure Analysis
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