Conference proceeding
A Multi-Disciplinary Framework for Continuous Biomedical Monitoring Using Low-Power Passive RFID-Based Wireless Wearable Sensors
2016 IEEE International Conference on Smart Computing (SMARTCOMP)
May 2016
Abstract
We have applied passive Radio Frequency Identification (RFID), typically used for inventory management, to implement a novel knit fabric strain gauge assembly using conductive thread. As the fabric antenna is stretched, the strength of the received signal varies, yielding potential for wearable, wireless, powerless smart-garment devices based on small and inexpensive passive RFID technology. Knit fabric sensors and other RFID biosensors can enable comfortable, continuous monitoring of biofeedback, but requires an integrated framework consisting of antenna modeling and fabrication, signal processing and machine learning on the noisy wireless signal, secure HIPAA- compliant data storage, visualization and human factors, and integration with existing medical devices and electronic health records (EHR) systems. We present a multidisciplinary, end-to-end framework to study, model, develop, and deploy RFID-based biosensors.
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21 citations in Scopus
Details
- Title
- A Multi-Disciplinary Framework for Continuous Biomedical Monitoring Using Low-Power Passive RFID-Based Wireless Wearable Sensors
- Creators
- William MonganEndla AndayGenevieve DionAdam FontecchioKelly JoyceTimothy KurzwegYuqiao Yuqiao LiuOwen MontgomeryIlhaan RasheedCem SahinShrenik VoraKapil Dandekar
- Publication Details
- 2016 IEEE International Conference on Smart Computing (SMARTCOMP)
- Conference
- 2016 IEEE International Conference on Smart Computing (SMARTCOMP)
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Sociology; Electrical and Computer Engineering; Pediatrics; Fashion Design
- Scopus ID
- 2-s2.0-84979536483
- Other Identifier
- 991014878231504721