Teaching Video NeuroImages: Macrosaccadic oscillations induced by horizontal head impulses

Reduced eye velocity and overt or covert compensatory saccades during horizontal head impulse testing are the signs of reduced vestibular function. However, here we report the unusual case of a patient who had enhanced eye velocity during horizontal head impulses followed by a corrective saccade. We term this saccade a “backup saccade” because it acts to compensate for the gaze position error caused by the enhanced velocity (and enhanced VOR gain) and acts to return gaze directly to the fixation target as shown by eye position records. We distinguish backup saccades from overt or covert compensatory saccades or the anticompensatory quick eye movement (ACQEM) of Heuberger et al. (1) ACQEMs are anticompensatory in that they are in the same direction as head velocity and so, act to take gaze off the target and thus require later compensatory (overt) saccades to return gaze to the target. Neither of these responses were found in this patient. The patient here was diagnosed with unilateral definite Meniere's disease (MD) on the right and had enhanced VOR (gain of 1.17) for rightward head impulses followed by backup saccades. For leftwards head impulses eye velocity and VOR gain were in the normal range (VOR gain of 0.89). As further confirmation, testing with 1.84 Hz horizontal sinusoidal head movements in the visual-vestibular (VVOR) paradigm also showed these backup saccades for rightwards head turns but normal slow phase eye velocity responses without backup saccades for leftwards had turns. This evidence shows that backup saccades can be observed in some MD patients who show enhanced eye velocity responses during vHIT and that these backup saccades act to correct for gaze position error caused by the enhanced eye velocity during the head impulse and so have a compensatory effect on gaze stabilization.

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Radiology self-teaching video-tape programs (RSVP) in a diagnostic radiology course

Journal of Dental Education ◽

10.1002/j.0022-0337.1976.40.3.tb00952.x ◽

1976 ◽

Vol 40 (3) ◽

pp. 147-149

Author(s):

HM Berry ◽

FA Hofmann

Keyword(s):

Diagnostic Radiology ◽

Video Tape ◽

Teaching Video

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Intelligent Teaching Evaluation System Integrating Facial Expression and Behavior Recognition in Teaching Video

2021 IEEE International Conference on Big Data and Smart Computing (BigComp) ◽

10.1109/bigcomp51126.2021.00019 ◽

2021 ◽

Author(s):

Zheng Chen ◽

Meiyu Liang ◽

Wanying Yu ◽

Yongkang Huang ◽

Xiaoxiao Wang

Keyword(s):

Facial Expression ◽

Evaluation System ◽

Teaching Evaluation ◽

Behavior Recognition ◽

And Behavior ◽

Teaching Video

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Intelligent English classroom video clarity improvement based on motion compensation and grid flow

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189528 ◽

2020 ◽

pp. 1-11

Author(s):

Shufang Li ◽

Wang Juan

Keyword(s):

Motion Compensation ◽

Noise Removal ◽

Operating Efficiency ◽

Camera Motion ◽

Video Denoising ◽

Actual Operating ◽

Flow Motion ◽

Pros And Cons ◽

English Classroom ◽

Teaching Video

For the English classroom teaching video denoising algorithm, it is not only necessary to consider whether the noise removal of the output video is thorough, but also to consider the actual operating efficiency and robustness of the algorithm. In the process of the thesis research, after reading a large number of internal and external documents on video denoising algorithms and analyzing the pros and cons of various denoising algorithms, this paper proposes a new video denoising algorithm, which uses the recently proposed grid flow motion model based on camera motion compensation to generate denoised video. Compared with the current advanced video denoising schemes, our method processes noisy frames faster and has good robustness. In addition, this article improves the algorithm framework so that the algorithm can not only deal with offline video denoising, but also deal with online video denoising.

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