TY - GEN
T1 - Patient cloth with motion recognition sensors based on flexible piezoelectric materials
AU - Cha, Youngsu
AU - Nam, Kihyuk
AU - Kim, Doik
N1 - Funding Information:
This work was supported by the KIST flagship program (Project No. 2E27200). 1Y. Cha, K. Nam, and D. Kim are with the Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 02792, Korea givemong@kist.re.kr (Y. Cha) 2K. Nam is also with the Department of Mechanical Engineering, Hanyang University, Seoul, 04763, Korea
Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/13
Y1 - 2017/9/13
N2 - In this paper, we introduce a patient cloth for position monitoring using motion recognition sensors based on flexible piezoelectric materials. The motion recognition sensors are embedded in three parts, which are the knee, hip and back, in the patient cloth. We use polyvinylidene fluoride (PVDF) as the flexible piezoelectric material for the sensors. By using the piezoelectric effect of the PVDF, we detect electrical signals when the cloth is bent or extended. We analyze the sensing values for our human motions by processing the sensor outputs in a custom-made program. Specifically, we focus on the transitions between standing and sitting, and sitting knee extension and supine position, which are important motions for patient monitoring.
AB - In this paper, we introduce a patient cloth for position monitoring using motion recognition sensors based on flexible piezoelectric materials. The motion recognition sensors are embedded in three parts, which are the knee, hip and back, in the patient cloth. We use polyvinylidene fluoride (PVDF) as the flexible piezoelectric material for the sensors. By using the piezoelectric effect of the PVDF, we detect electrical signals when the cloth is bent or extended. We analyze the sensing values for our human motions by processing the sensor outputs in a custom-made program. Specifically, we focus on the transitions between standing and sitting, and sitting knee extension and supine position, which are important motions for patient monitoring.
UR - http://www.scopus.com/inward/record.url?scp=85032214581&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2017.8037342
DO - 10.1109/EMBC.2017.8037342
M3 - Conference contribution
C2 - 29060384
AN - SCOPUS:85032214581
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2410
EP - 2413
BT - 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Y2 - 11 July 2017 through 15 July 2017
ER -