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Accepted (AM)Open Access (License Unspecified), Open
Conference proceeding
An Adaptive Search Algorithm for Detecting Respiratory Artifacts Using a Wireless Passive Wearable Device
2019 IEEE SIGNAL PROCESSING IN MEDICINE AND BIOLOGY SYMPOSIUM (SPMB), v 2019, pp 1-6
01 Jan 2019
PMID: 32490169
Abstract
With the use of a wireless, wearable, passive knitted smart fabric device as a strain gauge sensor, the proposed algorithm can estimate biomedical feedback such as respiratory activity. Variations in physical properties of Radio Frequency Identification (RFID) signals can be used to wirelessly detect physiological processes and states. However, it is typical for ambient noise artifacts to appear in the RFID signal making it difficult to identify physiological processes. This paper introduces a new technique for finding these repetitive physiological signals and identifying them into two states, active and inactive, using k-means clustering. The algorithm detects these biomedical events without the need to completely remove the noise components using a semi-unsupervised approach, and with these results, predict the next biomedical event using these classification results. This approach enables real-time noninvasive monitoring for use with actuating medical devices for therapy. Using this approach, the algorithm predicts the onset of respiratory activity in a simulated environment within approximately one second.
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Details
- Title
- An Adaptive Search Algorithm for Detecting Respiratory Artifacts Using a Wireless Passive Wearable Device
- Creators
- P. O'Neill - Drexel UniversityW. M. Mongan - Drexel UniversityR. Ross - Drexel UniversityS. Acharya - Drexel University, College of EngineeringA. Fontecchio - Drexel UniversityK. R. Dandekar - Drexel University
- Publication Details
- 2019 IEEE SIGNAL PROCESSING IN MEDICINE AND BIOLOGY SYMPOSIUM (SPMB), v 2019, pp 1-6
- Conference
- 2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (Philadelphia, Pennsylvania, United States, 07 Dec 2019–07 Dec 2019)
- Series
- IEEE Signal Processing in Medicine and Biology Symposium
- Publisher
- IEEE
- Number of pages
- 6
- Grant note
- CNS-1816387 / National Science Foundation Division of Computer and Network Systems R01 EB029364-01 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000565046900029
- Scopus ID
- 2-s2.0-85083095377
- Other Identifier
- 991019170116604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Engineering, Electrical & Electronic