• Journal of Korean Neurosurgical Society
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• v.40 no.6
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• pp.445-449
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• 2006

Objective : The accurate anatomy of the facial nerve is essential for successful surgical outcome. The purpose of the present study is to know such information on the facial nerve from a series of specimens. Methods : This study is based on cadaveric dissection of 41 Korean fetus and stillborn infant and describes anatomical variations of the peripheral branches of the facial nerve that pose a importance in a number of neruosurgical procedure. Results : The branching patterns were classified into six types according to modified Davis classification : the frequencies of occurrence were : type I, 4.9%; type II, 24.4%; type III, 34.1%; type IV, 19.5%; type V, 12.2%; and type VI, 4.9%. Types II, III and IV together accounted for almost 80% of the specimens. Conclusion : Compared to previous adult and western stillborn fetus cadaveric studies, there was no significant difference in the percentage of the types between the subjects in the present study, similar pattern and anatomic distribution.

• Journal of Information Processing Systems
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• v.10 no.3
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• pp.443-458
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• 2014

An extreme learning machine (ELM) is a recently proposed learning algorithm for a single-layer feed forward neural network. In this paper we studied the ensemble of ELM by using a bagging algorithm for facial expression recognition (FER). Facial expression analysis is widely used in the behavior interpretation of emotions, for cognitive science, and social interactions. This paper presents a method for FER based on the histogram of orientation gradient (HOG) features using an ELM ensemble. First, the HOG features were extracted from the face image by dividing it into a number of small cells. A bagging algorithm was then used to construct many different bags of training data and each of them was trained by using separate ELMs. To recognize the expression of the input face image, HOG features were fed to each trained ELM and the results were combined by using a majority voting scheme. The ELM ensemble using bagging improves the generalized capability of the network significantly. The two available datasets (JAFFE and CK+) of facial expressions were used to evaluate the performance of the proposed classification system. Even the performance of individual ELM was smaller and the ELM ensemble using a bagging algorithm improved the recognition performance significantly.

• Journal of Acupuncture Research
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• v.30 no.3
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• pp.51-59
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• 2013

Objectives : This study was designed to evaluate clinical evidence of acupuncture treatment for peripheral facial palsy in South Korea. Methods : All process was independently proceeded by two investigators. Literature search was performed in 9 databases from their inception to February 2013. Searched reports was twice excluded for title, abstract and body. And then, data extract and analysis was done before assessing risk of bias by Cochrane Handbook. Results : 10 randomized controlled trials(RCT) were finally included. 4 RCT handled postauricular pain with facial palsy. All articles at least used in combination with two treatments. Interventions like pharmacopuncture, electroacupuncture, scalp acupuncture etcetera were conducted as treatment to evaluate efficacy, and some study reported advantageous effects of treatment group compared to baseline or control group. Adverse events didn't referd to in any studies. In assessing risk of bias, indefinite and uncertain information made all included trials to have a high risk of bias. Conclusions : Because of methodological deficit, there is no sufficient evidence to allow any conclusion about the efficacy of acupuncture for peripheral facial palsy. Therefore, well designed trials with high quality is needed from now on.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.1
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• pp.51-56
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• 2019

This paper proposes an improved heartbeat signal extraction method for ballistocardiography(BCG)-based heart-rate measurement on mobile environment. First, from a mobile facial video, a handshake-free head motion signal is extracted by tracking facial features and background features at the same time. Then, a novel signal periodicity computation method is proposed to accurately separate out the heartbeat signal from the head motion signal. The proposed method could robustly extract heartbeat signals from mobile facial videos, and enabled more accurate heart rate measurement (measurement errors were reduced by 3-4 bpm) compared to the existing method.

• Imaging Science in Dentistry
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• v.49 no.2
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• pp.171-176
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• 2019

The available methods for veneer evaluation are limited to clinical and radiographic examinations, which may not allow the appropriate identification of failure. In this report, we demonstrate the use of optical coherence tomography (OCT) as a noninvasive diagnostic and follow-up method to evaluate gingival recovery and the adhesive interface in aesthetic oral rehabilitation involving periodontal plastic surgery and ceramic laminate veneers. OCT was efficient for evaluating both soft and hard tissues, as well as the quality of the adhesive interface. In conclusion, OCT was found to be a promising approach for the professional evaluation of aesthetic oral rehabilitation, as it was capable of generating images that enabled the analysis of gingival recovery and the adhesive interface.

• The Journal of Pediatrics of Korean Medicine
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• v.38 no.2
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• pp.41-52
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• 2024

Objectives The objective of this study was to investigate the impact of applying acupuncture as intervention of peripheral facial paralysis in children. Methods We conducted searches on China National Knowledge Infrastructure and Wanfang Data using the keywords "facial paralysis", "children", and "acupuncture". Results Six randomized controlled trials were included in the analysis. The acupoints most frequently utilized were Hapgok (LI4), Jichang (ST4), Yangbaek (GB14), Sabaek (ST2), Hyeopgeo (ST6), Yeonghyang (LI20), Yepung (TE17), and Taeyang (EX-HN5). The Stomach Meridian (ST) was the most targeted. Acupuncture treatment was found to be as effective as or more effective than Western medicine treatment in certain cases. Conclusions Acupuncture therapy shows promise for treating pediatric peripheral facial paralysis. However, further clinical randomized controlled trials are necessary to validate the efficacy and safety of acupuncture treatment.

• Dementia and Neurocognitive Disorders
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• v.22 no.4
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• pp.158-168
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• 2023

Background and Purpose: Facial emotion recognition deficits impact the daily life, particularly of Alzheimer's disease patients. We aimed to assess these deficits in the following three groups: subjective cognitive decline (SCD), mild cognitive impairment (MCI), and mild Alzheimer's dementia (AD). Additionally, we explored the associations between facial emotion recognition and cognitive performance. Methods: We used the Korean version of the Florida Facial Affect Battery (K-FAB) in 72 SCD, 76 MCI, and 76 mild AD subjects. The comparison was conducted using the analysis of covariance (ANCOVA), with adjustments being made for age and sex. The Mini-Mental State Examination (MMSE) was utilized to gauge the overall cognitive status, while the Seoul Neuropsychological Screening Battery (SNSB) was employed to evaluate the performance in the following five cognitive domains: attention, language, visuospatial abilities, memory, and frontal executive functions. Results: The ANCOVA results showed significant differences in K-FAB subtests 3, 4, and 5 (p=0.001, p=0.003, and p=0.004, respectively), especially for anger and fearful emotions. Recognition of 'anger' in the FAB subtest 5 declined from SCD to MCI to mild AD. Correlations were observed with age and education, and after controlling for these factors, MMSE and frontal executive function were associated with FAB tests, particularly in the FAB subtest 5 (r=0.507, p<0.001 and r=-0.288, p=0.026, respectively). Conclusions: Emotion recognition deficits worsened from SCD to MCI to mild AD, especially for negative emotions. Complex tasks, such as matching, selection, and naming, showed greater deficits, with a connection to cognitive impairment, especially frontal executive dysfunction.

• Journal of Acupuncture Research
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• v.25 no.6
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• pp.109-116
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• 2008

Objectives : This study investigated the effect of imbalance of autonomic nerve system on the idiopathic facial palsy by the comparison Heart Rate Variability results of Facial palsy group and healthy control group, and to clarify correlation between House-Brackmann Grade and Heart Rate Variability results. Methods : 119 idiopathic facial palsy patients and 88 health subjects who underwent HRV test were retrospectively reviewed based on medical records. We compared between the HRV results of facial palsy group and that of normal control group, and also compared the HRV results of facial palsy subgroup classified by House-Brackmann Grade. Results 1. All HRV results－Mean Heart Rat(MHRT), Standard Deviation of all the Normal RR intervals(SDNN), Total Power(TP), Very Low Frequency(VLF), Low Frequency(LF), High Frequency(HF), ratio betwween the Low Frequency and High Frequency power(LF/HF ratio) of facial palsy group are decreased compared to that of normal control group, especially SDNN, TP, VLF, LF, LF/HF ratio showed significant difference(p<0.05). 2. HRV results showed no significant correlation in House-Brackmann Grade. Conclusions : This study showed that lower HRV results of facial palsy group than normal control group and suggests that imbalance of autonomic nerve system related with facial palsy. HRV could be a objective tool to reflect condition of idiopathic facial palsy patients.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.25 no.4
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• pp.330-336
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• 1999

Study of dentofacial structure relationships relative to TMJ internal derangement is required to increase the predictability of TMJ internal derangement. But few studies have been reported. The purpose of this study is to reveal any correlation of dentofacial characteristics with TMJ internal derangement by lateral cephalometric analysis. Patients were devided into two groups. (1) Symptomatic patients with TMJ internal derangement (2) Asymptomatic volunteers with no TMJ internal derangement. Twenty symptomatic patients with TMJ internal derangement(7male, 13female) were selected from our clinic and had undergone a standarized clinical examination, panorama, transcranical view, TMJ tomography. Twenty asymptomatic volunteers(9male, 11female) were selected from our clinic with no pain, no limitation of motion. All subjects had undergone lateral cephalometric analysis. The results were obtained as follows. 1. No significant difference between ID and normal group is detected in cranial base. 2. Maxilla position of ID group is located more posterioly than normal group. 3. Mandible position of ID group is located more posteriorly than normal group and facial profile is hyperdivergent. 4. Posterior facial height of ID group is less than normal group thus facial profile is hyperdivergent. The patients, as mentioned, have a high prevalance of ID thus it should be careful in TMJ ID diagnosis and treatment.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.8-17
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• 2019

The main purpose of this study isto explore the potential of affective computing (AC) platforms in education through two phases ofresearch: Phase I - platform analysis and Phase II - classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner's emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.