Statistical analytics of wearable passive RFID-based biomedical textile monitors for real-time state classification

W. Mongan, K. Dandekar, G. Dion, T. Kurzweg, A. Fontecchio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Wearable smart devices have become ubiquitous, with powered devices capable of collecting real-time biometric information from its users. Typically, these devices require a powered component to be worn and maintained, such as a battery-powered sensor, Bluetooth communications device, or glasses. Pregnancy and infant monitoring devices may be uncomfortable to the mother or baby and are subject to signal loss if the patient changes position or becomes mobile because the device must remain tethered to the patient by a belt and plugged into a wall for power. Our wearable, wireless, smart garment devices are knitted into the fabric using conductive thread to which a Radio Frequency Identification (RFID) chip within the fabric is inductively coupled. Our work utilizes the Received Signal Strength Indication (RSSI), which changes as the knitted antenna is deformed due to stretching of the garment, to determine different types of motion in the inductively-coupled chip and knit antenna structure as it is moved by the wearer.

Original languageEnglish (US)
Title of host publication2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013500
DOIs
StatePublished - Feb 11 2016
EventIEEE Signal Processing in Medicine and Biology Symposium - Philadelphia, United States
Duration: Dec 12 2015 → …

Publication series

Name2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings

Conference

ConferenceIEEE Signal Processing in Medicine and Biology Symposium
CountryUnited States
CityPhiladelphia
Period12/12/15 → …

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Signal Processing
  • Radiology Nuclear Medicine and imaging
  • Health Informatics

Fingerprint Dive into the research topics of 'Statistical analytics of wearable passive RFID-based biomedical textile monitors for real-time state classification'. Together they form a unique fingerprint.

Cite this