TY - GEN
T1 - ANN-based nerve damage preservation system for neurosurgical operation
AU - Puanhvuan, Dilok
AU - Khemmachotikun, Sarawin
AU - Chumnanvej, Sorayouth
AU - Wongsawat, Yodchanan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/18
Y1 - 2014/2/18
N2 - The neurophysiologic intraoperative monitoring system (NIOM) is used for assessing the nerve function during operation. The free running electromyography (EMG) and the compound muscle action potential (CMAP) are monitored by the neurophysiologist for surgical intervention to avoid neurophysiologic deficit. However, there is a variation of surgical intervention in different neurophysiologist. 50% decrease in amplitude of CMAP response is considered as nerve damage compared with the baseline which may vary in particular case. These would make the nerve function estimation qualitative evaluated by neurophysiologist. This study aimed to investigate the quantitative method of nerve function prediction. Instead of applying one pulse stimulus, the varied current amplitude pulse train was applied to the nerve to obtain the variation of the CMAP responses. The varied CMAP responses were used as an input of artificial neuron network (ANN) for estimating the remaining nerve function. The results revealed that the estimated nerve damage level was linearly correlated with the measured nerve damage.
AB - The neurophysiologic intraoperative monitoring system (NIOM) is used for assessing the nerve function during operation. The free running electromyography (EMG) and the compound muscle action potential (CMAP) are monitored by the neurophysiologist for surgical intervention to avoid neurophysiologic deficit. However, there is a variation of surgical intervention in different neurophysiologist. 50% decrease in amplitude of CMAP response is considered as nerve damage compared with the baseline which may vary in particular case. These would make the nerve function estimation qualitative evaluated by neurophysiologist. This study aimed to investigate the quantitative method of nerve function prediction. Instead of applying one pulse stimulus, the varied current amplitude pulse train was applied to the nerve to obtain the variation of the CMAP responses. The varied CMAP responses were used as an input of artificial neuron network (ANN) for estimating the remaining nerve function. The results revealed that the estimated nerve damage level was linearly correlated with the measured nerve damage.
UR - http://www.scopus.com/inward/record.url?scp=84946530934&partnerID=8YFLogxK
U2 - 10.1109/SCIS-ISIS.2014.7044851
DO - 10.1109/SCIS-ISIS.2014.7044851
M3 - Conference contribution
AN - SCOPUS:84946530934
T3 - 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
SP - 307
EP - 310
BT - 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
Y2 - 3 December 2014 through 6 December 2014
ER -