Sentence examples for classification of tongue from inspiring English sources

Current research was based on initial experiments conducted for the classification of tongue motions from the EMG signals patterns [27, 28].

The research described herein was undertaken to develop and test a novel tongue interface based on classification of tongue motions from the surface electromyography (EMG) signals of the suprahyoid muscles detected at the underside of the jaw.

This study was conducted to develop and test a novel tongue interface based on the classification of tongue motions from surface EMG signals of the suprahyoid muscles detected at the underside of the jaw.

Sixth, description of tongue and pulse were added, in which there were 11 additional entries for pulse; 26 additional entries for tongue, and these entries were listed, respectively, in the classifications of tongue color abnormity, tongue morphological abnormalities, abnormal tongue moss, tongue ecchymosis petechiae, and abnormal sublingual collaterals.

This paper proposes a novel tongue interface based on classification of the tongue motions from surface EMG signals of the suprahyoid muscles detectable at the underside of the jaw.

The effectiveness of the approach was verified with a test for the classification of six tongue motions conducted with a group of five healthy adult volunteer subjects who had normal motor tongue functions.

Classification of the tongue motion was determined from the class with the largest number of wins.

The interface allows classification of six tongue motions, which are sufficient for the control of PCs and electric wheelchairs.

The AJCC T classification of oral tongue carcinoma is mainly based on tumor size.

For the classification of M classes tongue motions, M(M − 1)/2 decision functions are constructed initially for all combinations of these M classes.

Fig. 3 Flowchart of tongue motion classification.