TY - GEN
T1 - Application of wireless inertial measurement units and EMG sensors for studying deglutition - Preliminary results
AU - Imtiaz, U.
AU - Yamamura, K.
AU - Kong, W.
AU - Sessa, S.
AU - Lin, Z.
AU - Bartolomeo, L.
AU - Ishii, H.
AU - Zecca, M.
AU - Yamada, Y.
AU - Takanishi, A.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/2
Y1 - 2014/11/2
N2 - Different types of sensors are being used to study deglutition and mastication. These often suffer from problems related to portability, cost, reliability, comfort etc. that make it difficult to use for long term studies. An inertial measurement based sensor seems a good fit in this application; however its use has not been explored much for the specific application of deglutition research. In this paper, we present a system comprised of an IMU and EMG sensor that are integrated together as a single system. With a preliminary experiment, we determine that the system can be used for measuring the head-neck posture during swallowing in addition to other parameters during the swallowing phase. The EMG sensor may not always be a reliable source of physiological data especially for small clustered muscles like the ones responsible for swallowing. In this case, we explore the possibility of using gyroscopic data for the recognition of deglutition events.
AB - Different types of sensors are being used to study deglutition and mastication. These often suffer from problems related to portability, cost, reliability, comfort etc. that make it difficult to use for long term studies. An inertial measurement based sensor seems a good fit in this application; however its use has not been explored much for the specific application of deglutition research. In this paper, we present a system comprised of an IMU and EMG sensor that are integrated together as a single system. With a preliminary experiment, we determine that the system can be used for measuring the head-neck posture during swallowing in addition to other parameters during the swallowing phase. The EMG sensor may not always be a reliable source of physiological data especially for small clustered muscles like the ones responsible for swallowing. In this case, we explore the possibility of using gyroscopic data for the recognition of deglutition events.
UR - http://www.scopus.com/inward/record.url?scp=84929492713&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929492713&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2014.6944842
DO - 10.1109/EMBC.2014.6944842
M3 - Conference contribution
C2 - 25571210
AN - SCOPUS:84929492713
T3 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
SP - 5381
EP - 5384
BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Y2 - 26 August 2014 through 30 August 2014
ER -