scholarly journals The importance of the freeway space in orofacial myofunctional therapy

2020 ◽  
Vol 46 (1) ◽  
pp. 37-47
Author(s):  
Robert Mason ◽  
Honor Franklin ◽  
Patricia Grant ◽  
Ellen Role
Keyword(s):  
Tactile Feedback ◽  
Myofunctional Therapy ◽  
Rest Position ◽  
Dental Eruption

The purpose of this article is to explain the importance of evaluating and documenting the freeway space (interdental rest position), in initial examinations and at the completion of therapy in patients exhibiting an open mandibular resting position. The freeway space measurements obtained can be shared with parents, patients, and referral sources. To this end, the muscular, neural, and sensory components related to the freeway space are discussed, as well as airway, dental eruption patterns, tactile feedback, and orthodontic relapse considerations. An extraoral method for evaluating the dimensions of the anterior freeway space is proposed.

Human Cerebral Potentials During Motor Training Under Different Forms of Sensory Feedback

1999 ◽  
Vol 13 (4) ◽  
pp. 234-244
Author(s):  
Uwe Niederberger ◽  
Wolf-Dieter Gerber
Keyword(s):  
Healthy Subjects ◽  
Sensory Feedback ◽  
Motor Task ◽  
Tactile Feedback ◽  
Proprioceptive Feedback ◽  
Motor Training ◽  
Feedback Group ◽  
Emg Feedback ◽  
The Right ◽  
Training Success

Abstract In two experiments with four and two groups of healthy subjects, a novel motor task, the voluntary abduction of the right big toe, was trained. This task cannot usually be performed without training and is therefore ideal for the study of elementary motor learning. A systematic variation of proprioceptive, tactile, visual, and EMG feedback was used. In addition to peripheral measurements such as the voluntary range of motion and EMG output during training, a three-channel EEG was recorded over Cz, C3, and C4. The movement-related brain potential during distinct periods of the training was analyzed as a central nervous parameter of the ongoing learning process. In experiment I, we randomized four groups of 12 subjects each (group P: proprioceptive feedback; group PT: proprioceptive and tactile feedback; group PTV: proprioceptive, tactile, and visual feedback; group PTEMG: proprioceptive, tactile, and EMG feedback). Best training results were reported from the PTEMG and PTV groups. The movement-preceding cortical activity, in the form of the amplitude of the readiness potential at the time of EMG onset, was greatest in these two groups. Results of experiment II revealed a similar effect, with a greater training success and a higher electrocortical activation under additional EMG feedback compared to proprioceptive feedback alone. Sensory EMG feedback as evaluated by peripheral and central nervous measurements appears to be useful in motor training and neuromuscular re-education.

Ameloblastic Fibroma Associated With Impacted 3rd Molar: A Case Report

2017 ◽  
Vol 1 (7) ◽  
pp. 18-21
Author(s):  
K Indira Priyadarshini ◽  
Karthik Raghupathy ◽  
K V Lokesh ◽  
B Venu Naidu
Keyword(s):  
Relative Frequency ◽  
Posterior Region ◽  
Radiographic Examination ◽  
Dental Eruption ◽  
Ameloblastic Fibroma ◽  
Odontogenic Origin ◽  
The Common ◽  
The Times ◽  
The Right ◽  
Slow Growing

Ameloblastic fibroma is an uncommon mixed neoplasm of odontogenic origin with a relative frequency between 1.5 – 4.5%. It can occur either in the mandible or maxilla, but predominantly seen in the posterior region of the mandible. It occurs in the first two decades of life. Most of the times it is associated with tooth enclosure, causing a delay in eruption or altering the dental eruption sequence. The common clinical manifestation is a slow growing painless swelling and is detected during routine radiographic examination. There is controversy in the mode of treatment, whether conservative or aggressive. Here we reported a 38 year old male patient referred for evaluation of painless swelling on the right posterior region of the mandible associated with clinically missing 3rd molar. The lesion was completely enucleated under general anesthesia along with the extraction of impacted molar.

A touch screen interface design with tactile feedback for practical applications

2013 ◽  
Vol 3 (1) ◽  
pp. 8 ◽  
Author(s):  
Hiroaki Nishino ◽  
Ryotaro Goto ◽  
Yuki Fukakusa ◽  
Jiaqing Lin ◽  
Tsuneo Kagawa ◽  
...  
Keyword(s):  
Interface Design ◽  
Touch Screen ◽  
Tactile Feedback ◽  
Practical Applications

scholarly journals Changes in Sensorimotor Cortical Activation in Children Using Prostheses and Prosthetic Simulators

2021 ◽  
Vol 11 (8) ◽  
pp. 991
Author(s):  
Christopher Copeland ◽  
Mukul Mukherjee ◽  
Yingying Wang ◽  
Kaitlin Fraser ◽  
Jorge M. Zuniga
Keyword(s):  
Near Infrared ◽  
Primary Motor Cortex ◽  
Tactile Feedback ◽  
Cortical Activation ◽  
Typically Developing ◽  
Neural Responses ◽  
Motor Tasks ◽  
Functional Near Infrared Spectroscopy ◽  
Limb Reduction ◽  
Motor Dexterity

This study aimed to examine the neural responses of children using prostheses and prosthetic simulators to better elucidate the emulation abilities of the simulators. We utilized functional near-infrared spectroscopy (fNIRS) to evaluate the neural response in five children with a congenital upper limb reduction (ULR) using a body-powered prosthesis to complete a 60 s gross motor dexterity task. The ULR group was matched with five typically developing children (TD) using their non-preferred hand and a prosthetic simulator on the same hand. The ULR group had lower activation within the primary motor cortex (M1) and supplementary motor area (SMA) compared to the TD group, but nonsignificant differences in the primary somatosensory area (S1). Compared to using their non-preferred hand, the TD group exhibited significantly higher action in S1 when using the simulator, but nonsignificant differences in M1 and SMA. The non-significant differences in S1 activation between groups and the increased activation evoked by the simulator’s use may suggest rapid changes in feedback prioritization during tool use. We suggest that prosthetic simulators may elicit increased reliance on proprioceptive and tactile feedback during motor tasks. This knowledge may help to develop future prosthesis rehabilitative training or the improvement of tool-based skills.

Feedback Modalities in Brain–Computer Interfaces: A Systematic Review

2020 ◽  
Vol 64 (1) ◽  
pp. 1186-1190
Author(s):  
Wakana Ishihara ◽  
Karen Moxon ◽  
Sheryl Ehrman ◽  
Mark Yarborough ◽  
Tina L. Panontin ◽  
...  
Keyword(s):  
Systematic Review ◽  
Visual Feedback ◽  
Auditory Feedback ◽  
Brain Computer Interface ◽  
Tactile Feedback ◽  
Proprioceptive Feedback ◽  
Computer Interface ◽  
Computer Interfaces ◽  
Feedback Modalities ◽  
Improving Accuracy

This systematic review addresses the plausibility of using novel feedback modalities for brain–computer interface (BCI) and attempts to identify the best feedback modality on the basis of the effectiveness or learning rate. Out of the chosen studies, it was found that 100% of studies tested visual feedback, 31.6% tested auditory feedback, 57.9% tested tactile feedback, and 21.1% tested proprioceptive feedback. Visual feedback was included in every study design because it was intrinsic to the response of the task (e.g. seeing a cursor move). However, when used alone, it was not very effective at improving accuracy or learning. Proprioceptive feedback was most successful at increasing the effectiveness of motor imagery BCI tasks involving neuroprosthetics. The use of auditory and tactile feedback resulted in mixed results. The limitations of this current study and further study recommendations are discussed.

scholarly journals Analysis of Tongue Function from the Orthodontist’s Point of View: Not Only a Matter of Deglutition

2021 ◽  
Vol 11 (6) ◽  
pp. 2520
Author(s):  
Andrea Deregibus ◽  
Simone Parrini ◽  
Maria Chiara Domini ◽  
Jacopo Colombini ◽  
Tommaso Castroflorio
Keyword(s):  
Point Of View ◽  
Control Group ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Maxillary Hypoplasia ◽  
Skeletal Class ◽  
Posterior Crossbite ◽  
Rest Position ◽  
Functional Aspects ◽  
Angle Class Iii Malocclusion

Many studies report that maxillofacial growth is influenced by genetic and environmental elements and that incorrect breathing, chewing, sucking, and swallowing are promoting factors of malocclusion. This study aims to evaluate the function and the influence of the tongue positions in patients with Angle class III malocclusion, maxillary hypoplasia, and posterior crossbite. One hundred patients, aged between 6 and 12 years old, were enrolled for the study. In the first group, patients with a diagnosis of class III malocclusion, affected by maxillary hypoplasia, skeletal class III, and posterior dental crossbite were recruited. In the control group, not treated patients with no malocclusion, skeletal class I, and without posterior dental crossbite were selected. Regarding atypical deglutition, no statistical differences were reported between the two groups, and 14% of patients reported ankyloglossia. Statistical differences were found in tongue rest position and during the execution of “hold and pull” and “chuck” exercises. Results obtained in this observational study showed that the clinician (orthodontist or general dentist) should analyze the presence/absence of atypical swallowing, the anatomical and functional aspects, and the tongue behavior in the rest position.

Ergonomics analysis based on intention inference

2021 ◽  
pp. 1-16
Author(s):  
First A. Wenbo Huang ◽  
Second B. Changyuan Wang ◽  
Third C. Hongbo Jia
Keyword(s):  
Eye Movement ◽  
Recognition Rate ◽  
Tactile Feedback ◽  
Movement Direction ◽  
Support Vector ◽  
Eeg Signals ◽  
Intention Recognition ◽  
Baseline Removal ◽  
Inference Methods ◽  
Intention Inference

Traditional intention inference methods rely solely on EEG, eye movement or tactile feedback, and the recognition rate is low. To improve the accuracy of a pilot’s intention recognition, a human-computer interaction intention inference method is proposed in this paper with the fusion of EEG, eye movement and tactile feedback. Firstly, EEG signals are collected near the frontal lobe of the human brain to extract features, which includes eight channels, i.e., AF7, F7, FT7, T7, AF8, F8, FT8, and T8. Secondly, the signal datas are preprocessed by baseline removal, normalization, and least-squares noise reduction. Thirdly, the support vector machine (SVM) is applied to carry out multiple binary classifications of the eye movement direction. Finally, the 8-direction recognition of the eye movement direction is realized through data fusion. Experimental results have shown that the accuracy of classification with the proposed method can reach 75.77%, 76.7%, 83.38%, 83.64%, 60.49%,60.93%, 66.03% and 64.49%, respectively. Compared with traditional methods, the classification accuracy and the realization process of the proposed algorithm are higher and simpler. The feasibility and effectiveness of EEG signals are further verified to identify eye movement directions for intention recognition.

Sign in / Sign up

Export Citation Format

Share Document