Cited by 272Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition SystemsAdvanced Sensor and Energy Harvesting Materials

Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review

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Kamišalić, Aida, Fister, Iztok, Turkanović, Muhamed, Karakatič, Sašo·2018·Sensors

Abstract

Wearable devices have recently received considerable interest due to their great promise for a plethora of applications. Increased research efforts are oriented towards a non-invasive monitoring of human health as well as activity parameters. A wide range of wearable sensors are being developed for real-time non-invasive monitoring. This paper provides a comprehensive review of sensors used in wrist-wearable devices, methods used for the visualization of parameters measured as well as methods used for intelligent analysis of data obtained from wrist-wearable devices. In line with this, the main features of commercial wrist-wearable devices are presented. As a result of this review, a taxonomy of sensors, functionalities, and methods used in non-invasive wrist-wearable devices was assembled.

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  • The included studies did not show the full range of possible wearables and measured vital signs.

    “We have provided a wide overview of wearable devices; however, the included studies did not show the full range of possible wearables and measured vital signs [9,37].”

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Research works printed but not linked: 6

  1. [73]Nowak E. Krainski M. Rubinski M. Pazderska M. Raczynski S.A. Robust real-time PPG-based heart rate monitoring Proceedings of the 23rd European Signal Processing Conference (EUSIPCO) Nice, France 31 August–4 September 2015 2561 2565
  2. [85]Johansson H. Smart Sensor for Wrist Movements Master’s Thesis Lund University Lund, Sweden 2015
  3. [100]Goodfellow I. Bengio Y. Courville A. Deep Learning The MIT Press Cambridge, MA, USA 2016
  4. [111]Nieuwenhuizen R. Visual Analysis for Sports Sensor Data Master’s Thesis Delft University of Technology Delft, The Netherlands 2017
  5. [123]Fister D. Fister I.J. Fister I. Visualization of cycling training Proceedings of the StuCoSReC: 3rd Student Computer Science Research Conference Koper, Slovenia 16 September 2016 39 44
  6. [126]Konold C. Miller C.D. TinkerPlots: Dynamic data exploration. Computer Software Key Curriculum Press Emeryville, CA, USA 2005

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Authors
Kamišalić, A., Fister, I., Turkanović, M., & Karakatič, S.
Affiliations
University of Maribor (SI)
Corresponding author
Kamišalić, Aida
Venue
Sensors
Publisher
MDPI AG
Published
2018-05-25
Volume
18
Issue
6
Pages
1714
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2803297114
Cited by
272
References
116
Citations by year
2026: 17 · 2025: 21 · 2024: 29 · 2023: 37 · 2022: 46 · 2021: 40 · 2020: 46 · 2019: 32 · 2018: 4
FWCI
2.48
Type
journal article
Language
en
Open access
Locations
  • Sensors (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Javna Agencija za Raziskovalno Dejavnost RS (P2-0057)
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
wearable sensors, non-invasive monitoring, health monitoring, activity monitoring, data visualization, intelligent data analysis
MeSH terms
Wearable Electronic Devices, Humans, Monitoring, Physiologic, Occupations, Stress, Psychological, Wrist, Biosensing Techniques

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