TY - GEN
T1 - Statistical analytics of wearable passive RFID-based biomedical textile monitors for real-time state classification
AU - Mongan, W.
AU - Dandekar, K.
AU - Dion, G.
AU - Kurzweg, T.
AU - Fontecchio, A.
N1 - Funding Information:
Our research results are based upon work supported by the National Science Foundation Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) subprogram under Grant No. 1430212. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
PY - 2016/2/11
Y1 - 2016/2/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84963976838&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963976838&partnerID=8YFLogxK
U2 - 10.1109/SPMB.2015.7405465
DO - 10.1109/SPMB.2015.7405465
M3 - Conference contribution
AN - SCOPUS:84963976838
T3 - 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings
BT - 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Signal Processing in Medicine and Biology Symposium
Y2 - 12 December 2015
ER -