The quantification of head-related transfer function’s dependency on anthropometric features

2021 ◽  
Vol 150 (4) ◽  
pp. A141-A141
Author(s):  
Ganesh Kailas ◽  
Voona Satish Kumar ◽  
Nachiketa Tiwari
Keyword(s):  
Anthropometric Features

Facial Surface Anthropometric Features and Measurements With an Emphasis on Rhinoplasty

2021 ◽  
Author(s):  
M Mazhar Celikoyar ◽  
Michael F Perez ◽  
M Ilhan Akbas ◽  
Oguzhan Topsakal
Keyword(s):  
Surgical Planning ◽  
Medical Literature ◽  
Facial Features ◽  
Post Surgery ◽  
Anthropometric Features ◽  
The Face ◽  
Narrative Literature ◽  
Narrative Literature Review ◽  
Objective Outcomes ◽  
A Current

Abstract Background Facial features and measurements are utilized to analyze patients’ faces for various reasons, including surgical planning, scientific communications, patient-surgeon communications, and post-surgery evaluations. Objectives There are numerous descriptions regarding these features and measurements scattered throughout the literature and we did not encounter a current compilation of these parameters in the medical literature. Methods A narrative literature review of the published medical literature for facial measurements used for facial analysis in rhinoplasty was done through the electronic databases MEDLINE/PubMed and Google Scholar, along with a citation search. Results A total of 61 facial features were identified. 45 points (25 bilateral, 20 unilateral), five lines (three bilateral, two unilateral), eight planes, and three areas. A total of 122 measurements were identified: 48 distances (6 bilateral, 42 unilateral), 57 angles (13 bilateral, 44 unilateral), and 17 ratios. Supplemental Figures were created to depict all features and measurements using either a frontal, lateral or basal view of the face. Conclusions This paper provides the most comprehensive and current compilation of facial measurements to date. We believe this compilation will guide further developments (methodologies and software tools) for analyzing nasal structures and assessing the objective outcomes of facial surgeries, in particular rhinoplasty. Moreover, it will improve the communication as a reference for facial measurements of facial surface anthropometry, in particular rhinoplasty.

scholarly journals Predicting Polysomnography Parameters from Anthropometric Features and Breathing Sounds Recorded during Wakefulness

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 905
Author(s):  
Ahmed Elwali ◽  
Zahra Moussavi
Keyword(s):  
Primary Outcome ◽  
Screening Tool ◽  
Correlation Coefficients ◽  
Random Forest Classifier ◽  
Screening Tools ◽  
Apnea Hypopnea Index ◽  
Bilinear Model ◽  
Arousal Index ◽  
Obstructive Sleep ◽  
Anthropometric Features

Background: The apnea/hypopnea index (AHI) is the primary outcome of a polysomnography assessment (PSG) for determining obstructive sleep apnea (OSA) severity. However, other OSA severity parameters (i.e., total arousal index, mean oxygen saturation (SpO2%), etc.) are crucial for a full diagnosis of OSA and deciding on a treatment option. PSG assessments and home sleep tests measure these parameters, but there is no screening tool to estimate or predict the OSA severity parameters other than the AHI. In this study, we investigated whether a combination of breathing sounds recorded during wakefulness and anthropometric features could be predictive of PSG parameters. Methods: Anthropometric information and five tracheal breathing sound cycles were recorded during wakefulness from 145 individuals referred to an overnight PSG study. The dataset was divided into training, validation, and blind testing datasets. Spectral and bispectral features of the sounds were evaluated to run correlation and classification analyses with the PSG parameters collected from the PSG sleep reports. Results: Many sound and anthropometric features had significant correlations (up to 0.56) with PSG parameters. Using combinations of sound and anthropometric features in a bilinear model for each PSG parameter resulted in correlation coefficients up to 0.84. Using the evaluated models for classification with a two-class random-forest classifier resulted in a blind testing classification accuracy up to 88.8% for predicting the key PSG parameters such as arousal index. Conclusions: These results add new value to the current OSA screening tools and provide a new promising possibility for predicting PSG parameters using only a few seconds of breathing sounds recorded during wakefulness without conducting an overnight PSG study.

scholarly journals THEORY OF OBJECTIVE FORMATION IN DESIGN PRODUCTS SEWING VIROBIV

2021 ◽  
pp. 139-152
Author(s):  
Oleg Kardash
Keyword(s):  
Three Dimensional ◽  
Approximate Design ◽  
Clothing Design ◽  
Subjective Approach ◽  
Anthropometric Features ◽  
Modern Methods

Theory of objective shaping in the design of garments. Modern methods of designing garments are considered. It is determined that the current areas are: particular features of modeling, which take into account the dynamics of dimensional features; methods of two- and three-dimensional design with an attempt to take into account anthropometric features and features of sewing materials. The disadvantages of the subjective approach according to the methods of approximate design are pointed out The new scientific direction of objective shaping in clothing design with the corresponding theory with criterion complex dependences which allow to carry out objective controllability of process of shaping and the forecast of qualitative indicators is proved. An example of shells with pre-deformed and bent section and their criterion dependence is given.

scholarly journals Anthropometric features of physical development of modern metropolis schoolchildren

2016 ◽  
Vol 97 (4) ◽  
pp. 629-633 ◽  
Author(s):  
M Yu Gavryushin ◽  
I I Berezin ◽  
O V Sazonova
Keyword(s):  
Children And Adolescents ◽  
Rural Areas ◽  
Age Groups ◽  
Physical Development ◽  
Anthropometric Parameters ◽  
Study Results ◽  
Anthropometric Features ◽  
Educative Process ◽  
Regional Capital ◽  
The City

Aim. To define characteristics of growth and development of children and adolescents of school age in the city of Samara.Methods. Measurements of anthropometric parameters of 2617 children aged 7-17 years, of which 1397 children studied in general educational institutions of Samara, 1220 schoolchildren - in the regional centers of the Samara region, were performed. The obtained values of anthropometric parameters of physical development of schoolchildren in Samara were compared with the study results of the appropriate age and sex groups of children and adolescents living in the Samara region.Results. Children of the regional capital and district centers come to school with virtually the same anthropometric parameters. Due to the inhomogeneous influence of conditions and nature of education, nutrition, motor activity indicators of physical development in the educative process acquire significant differences. The height of the city of Samara boys aged 7-15 years is lower than height of peers living in the Samara region (p ˂0.01). Body weight in girls to 9 years, and in boys since 7 years of age is less than in their peers who live in the district centers of the Samara region (p ˂0.05). The chest circumference of the Samara schoolchildren is significantly less than that of their peers of the Samara region in the age groups of 7-14 years in boys and 8-14 years in girls. Waist circumference of Samara boys in the age groups of 7-11 and 13 years and in girls aged 10-14 years is significantly less than that of the Samara region children. Hip circumference of the Samara schoolchildren in junior (7-10 years) and middle (11-14 years) school grades is less than in children of Samara region (p ˂0.05).Conclusion. Revealed differences in anthropometric parameters of children of the city of Samara and Samara region demonstrate the need to develop regional standards to evaluate the physical development of children and adolescents of big cities and rural areas.

scholarly journals Electrocardiographic characteristics, anthropometric features, and cardiovascular risk factors in a large cohort of adolescents

EP Europace ◽  
2018 ◽  
Vol 20 (11) ◽  
pp. 1833-1840 ◽  
Author(s):  
Massimo Santini ◽  
Stefania Angela Di Fusco ◽  
Furio Colivicchi ◽  
Alessio Gargaro
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Large Cohort ◽  
Anthropometric Features

scholarly journals A Cross-Evaluated Database of Measured and Simulated HRTFs Including 3D Head Meshes, Anthropometric Features, and Headphone Impulse Responses

2019 ◽  
Vol 67 (9) ◽  
pp. 705-718 ◽  
Author(s):  
Fabian Brinkmann ◽  
Manoj Dinakaran ◽  
Robert Pelzer ◽  
Peter Grosche ◽  
Daniel Voss ◽  
...  
Keyword(s):  
Impulse Responses ◽  
Anthropometric Features

Joint trajectory generator for powered orthosis based on gait modelling using PCA and FFT

Robotica ◽  
2017 ◽  
Vol 36 (3) ◽  
pp. 395-407 ◽  
Author(s):  
Nicholas B. Melo ◽  
Carlos E. T. Dórea ◽  
Pablo J. Alsina ◽  
Márcio V. Araújo
Keyword(s):  
Principal Component Analysis ◽  
Fourier Series ◽  
Energy Consumption ◽  
Lower Limb ◽  
Joint Angle ◽  
Principal Component ◽  
Orthotic Devices ◽  
Joint Angles ◽  
Anthropometric Features ◽  
Trajectory Generator

SUMMARYIn this work, we propose a method able to find user-oriented gait trajectories that can be used in powered lower limb orthosis applications. Most research related to active orthotic devices focuses on solving hardware issues. However, the problem of generating a set of joint trajectories that are user-oriented still persists. The proposed method uses principal component analysis to extract shared features from a gait dataset, taking into consideration gait-related variables such as joint angle information and the user's anthropometric features, used directly in an orthosis application. The trajectories of joint angles used by the model are represented by a given number of harmonics according to their respective Fourier series analyses. This representation allows better performance of the model, whose capability to generate gait information is validated through experiments using a real active orthotic device, analysing both joint motor energy consumption and user metabolic effort.

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