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Mechanically Flexible Wireless Multisensor Platform for Human Physical Activity and Vitals Monitoring
Abstract
Practical usability of the majority of current wearable body sensor systems for multiple parameter physiological signal acquisition is limited by the multiple physical connections between sensors and the data-acquisition modules. In order to improve the user comfort and enable the use of these types of systems on active mobile subjects, we propose a wireless body sensor system that incorporates multiple sensors on a single node. This multisensor node includes signal acquisition, processing, and wireless data transmission fitted on multiple layers of a thin flexible substrate with a very small footprint. Considerations for design include size, form factor, reliable body attachment, good signal coupling, low power consumption, and user convenience. The prototype device measures 55 15 mm and is 3 mm thick. The unit is attached to the patient's chest, and is capable of performing simultaneous measurements of parameters, such as body motion, activity intensity, tilt, respiration, cardiac vibration, cardiac potential (ECG), heart rate, and body surface temperature. In this paper, we discuss the architecture of this system, including the multisensor hardware, the firmware, a mobile-phone receiver unit, and assembly of the first proof-of-concept prototype. Preliminary performance results on key elements of the system, such as power consumption, wireless range, algorithm efficiency, ECG signal quality for heart-rate calculations, as well as synchronous ECG and body activity signals are also presented.
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“The wearing comfort575859 of wearable devices is decided by; 1) the number of wearing devices; 2) device’s size and weight; 3) flexibility of the device.”
From A Flexible and Wearable Human Stress Monitoring Patch (2016) · cites this paper as [59]
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Fall detection and activity recognition using stereo low-resolution thermal imaging
Zoetgnande, Y. W. K. (2020) · theses.fr (ABES) · doi:10.70675/f71894b5z8fa1z4817z9cf8z7c1abada8e37 · Cited by 1
Biometric Applications of One-Dimensional Physiological Signals - Electrocardiograms
Jianchu, Wan, Y., & Warre, S. (2011) · InTech eBooks · doi:10.5772/17169
Design for modular testing of a multilayer flexible wireless multisensor platform
Chuo, Y., & Kamińska, B. (2009) · IEEE International Mixed-Signals, Sensors and Systems Test Workshop (IMS3TW) · doi:10.1109/ims3tw.2009.5158698
Self-citationHeat Stress Risk Prediction by Using Bayesian Net Model with Sensor Network
Taiwade, K. M., & Mohod, P. S. (2014) · doi:10.5121/csit.2014.4713
Merry, K. J. (2017) · Summit (Simon Fraser University)
A Method of Feature Extraction for BCG Signal Based on Wavelet and Bispectrum
Wang, Z., Li, Z., Wang, Y., & Wang, M. (2018) · International Conference on Digital Home (ICDH) · doi:10.1109/icdh.2018.00027
Wickramarathna, N. C., & Ganegoda, G. U. (2019) · Communications in computer and information science · doi:10.1007/978-981-13-9129-3_10
Sucipto, P. W. A., & Firasanti, A. (2021) · Advances in engineering research/Advances in Engineering Research · doi:10.2991/aer.k.210810.008
Metadata
- Authors
- Chuo, Y., Marzencki, M., Hung, B., Jaggernauth, C., Tavakolian, K., Lin, P., & Kaminska, B.
- Affiliations
- Simon Fraser University (CA)
- ORCID
- Tavakolian, Kouhyar
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2010-10
- Volume
- 4
- Issue
- 5
- Pages
- 281-294
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2126568521
- Cited by
- 102
- References
- 28
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 5 · 2022: 5 · 2021: 9 · 2020: 8 · 2019: 8 · 2018: 9 · 2017: 9 · 2016: 10 · 2015: 6 · 2014: 9 · 2013: 13 · 2012: 3
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Biomedical Circuits and Systems (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- wireless body sensors, flexible electronics, wearable sensors, vital signs monitoring, ECG, heart rate, respiration, human motion detection, body surface temperature, low power consumption, signal coupling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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