A Novel Wearable Sensor for Measuring Respiration Continuously and in Real Time Article Swipe
Amjad Ali
,
Yang Wei
,
Yomna El-Saboni
,
Jack Tyson
,
Harry Akerman
,
Alexander Jackson
,
R Lane
,
Daniel Spencer
,
N.M. White
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24206513
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24206513
In this work, a flexible textile-based capacitive respiratory sensor, based on a capacitive sensor structure, that does not require direct skin contact is designed, optimised, and evaluated using both computational modelling and empirical measurements. In the computational study, the geometry of the sensor was examined. This analysis involved observing the capacitance and frequency variations using a cylindrical model that mimicked the human body. Four designs were selected which were then manufactured by screen printing multiple functional layers on top of a polyester/cotton fabric. The printed sensors were characterised to detect the performance against phantoms and impacts from artefacts, normally present whilst wearing the device. A sensor that has an electrode ratio of 1:3:1 (sensor, reflector, and ground) was shown to be the most sensitive design, as it exhibits the highest sensitivity of 6.2% frequency change when exposed to phantoms. To ensure the replicability of the sensors, several batches of identical sensors were developed and tested using the same physical parameters, which resulted in the same percentage frequency change. The sensor was further tested on volunteers, showing that the sensor measures respiration with 98.68% accuracy compared to manual breath counting.
Related Topics
Concepts
Capacitive sensing
Wearable computer
Sensitivity (control systems)
Capacitance
Acoustics
Electro-optical sensor
Computer science
Reflector (photography)
Electrode
Materials science
Biomedical engineering
Simulation
Electronic engineering
Electrical engineering
Engineering
Optics
Embedded system
Chemistry
Physics
Light source
Physical chemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s24206513
- OA Status
- gold
- Cited By
- 3
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403305008
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4403305008Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/s24206513Digital Object Identifier
- Title
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A Novel Wearable Sensor for Measuring Respiration Continuously and in Real TimeWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-10Full publication date if available
- Authors
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Amjad Ali, Yang Wei, Yomna El-Saboni, Jack Tyson, Harry Akerman, Alexander Jackson, R Lane, Daniel Spencer, N.M. WhiteList of authors in order
- Landing page
-
https://doi.org/10.3390/s24206513Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/s24206513Direct OA link when available
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Capacitive sensing, Wearable computer, Sensitivity (control systems), Capacitance, Acoustics, Electro-optical sensor, Computer science, Reflector (photography), Electrode, Materials science, Biomedical engineering, Simulation, Electronic engineering, Electrical engineering, Engineering, Optics, Embedded system, Chemistry, Physics, Light source, Physical chemistryTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 2, 2024: 1Per-year citation counts (last 5 years)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.observing | 48 |
| abstract_inverted_index.phantoms. | 138 |
| abstract_inverted_index.sensitive | 123 |
| abstract_inverted_index.artefacts, | 97 |
| abstract_inverted_index.capacitive | 6, 12 |
| abstract_inverted_index.functional | 75 |
| abstract_inverted_index.optimised, | 24 |
| abstract_inverted_index.percentage | 165 |
| abstract_inverted_index.reflector, | 114 |
| abstract_inverted_index.structure, | 14 |
| abstract_inverted_index.variations | 53 |
| abstract_inverted_index.capacitance | 50 |
| abstract_inverted_index.cylindrical | 56 |
| abstract_inverted_index.parameters, | 159 |
| abstract_inverted_index.performance | 91 |
| abstract_inverted_index.respiration | 180 |
| abstract_inverted_index.respiratory | 7 |
| abstract_inverted_index.sensitivity | 130 |
| abstract_inverted_index.volunteers, | 174 |
| abstract_inverted_index.manufactured | 70 |
| abstract_inverted_index.characterised | 87 |
| abstract_inverted_index.computational | 29, 36 |
| abstract_inverted_index.measurements. | 33 |
| abstract_inverted_index.replicability | 142 |
| abstract_inverted_index.textile-based | 5 |
| abstract_inverted_index.polyester/cotton | 81 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5011878152 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I52590639 |
| citation_normalized_percentile.value | 0.70664922 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |