Wearable Sensors for Remote Health Monitoring
Open accessAbstract
Life expectancy in most countries has been increasing continually over the several few decades thanks to significant improvements in medicine, public health, as well as personal and environmental hygiene. However, increased life expectancy combined with falling birth rates are expected to engender a large aging demographic in the near future that would impose significant burdens on the socio-economic structure of these countries. Therefore, it is essential to develop cost-effective, easy-to-use systems for the sake of elderly healthcare and well-being. Remote health monitoring, based on non-invasive and wearable sensors, actuators and modern communication and information technologies offers an efficient and cost-effective solution that allows the elderly to continue to live in their comfortable home environment instead of expensive healthcare facilities. These systems will also allow healthcare personnel to monitor important physiological signs of their patients in real time, assess health conditions and provide feedback from distant facilities. In this paper, we have presented and compared several low-cost and non-invasive health and activity monitoring systems that were reported in recent years. A survey on textile-based sensors that can potentially be used in wearable systems is also presented. Finally, compatibility of several communication technologies as well as future perspectives and research challenges in remote monitoring systems will be discussed.
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The results enable continuous streaming of data at rates of up to 800 bytes/s with dual channels, orders of magnitude larger than previously achieved in NFC sensors.
“The results enable continuous streaming of data at rates of up to 800 bytes/s with dual channels, which is orders of magnitude larger than those previously achieved in NFC sensors (15–17).”
From Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care (2019) · cites this paper as [16]
Section 4, “Communication Technologies for Wearable Systems” (page unavailable), describes NFC’s range, frequency and peer-to-peer operation, but does not report streaming results or compare NFC sensor throughput. Searches for “800 bytes/s,” dual-channel streaming and the claimed orders-of-magnitude improvement found no supporting passage in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredWearable devices transfer captured data to a powerful remote computer or a cloud implementation, where the sensor information is deciphered, deconstructed, and results are meaningfully generated, interpreted and presented to the user.
“As a result, they transfer captured data to a powerful remote computer or a cloud implementation, where the sensor information is deciphered, deconstructed, and results are meaningfully generated, interpreted and presented to the user [12].”
From Review of Wearable Devices and Data Collection Considerations for Connected Health (2021) · cites this paper as [12]
Recent advances in sensor technologies have had an impact on applications for remote health, such as postoperative recovery, treatment for chronic patients, and monitoring of elderly individuals.
“Recent advances in sensor technologies have had an impact on applications for remote health [81], such as postoperative recovery [82], treatment for chronic patients [83], and monitoring of elderly individuals [84].”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [81]
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References 184 · Cited by 1,375
Research works printed but not linked: 7
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- Authors
- Majumder, S., Mondal, T., & Deen, M.
- Affiliations
- McMaster University (CA)
- Corresponding author
- Deen, M.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-01-12
- Volume
- 17
- Issue
- 1
- Pages
- 130
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC5298703
- OpenAlex
- W2573003069
- Cited by
- 1,375
- References
- 184
- Citations by year
- 2026: 118 · 2025: 192 · 2024: 169 · 2023: 147 · 2022: 198 · 2021: 157 · 2020: 162 · 2019: 129 · 2018: 79 · 2017: 23 · 2016: 1
- FWCI
- 8.54
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- 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 › Wireless Body Area Networks
- Keywords
- wearable sensors, remote patient monitoring, elderly healthcare, population aging, non-invasive physiological monitoring, activity monitoring, textile sensors, communication technology, home care
- MeSH terms
- Wearable Electronic Devices, Delivery of Health Care, Humans, Monitoring, Physiologic, Textiles, Telemedicine
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