scholarly journals Interpretação e reconhecimento de padrões para avaliação de dor em imagens faciais de recém-nascidos

2020 ◽  
Author(s):  
◽  
P. A. S. O. Silva
Keyword(s):  
Facial Expressions ◽  
Statistical Data ◽  
Pediatric Pain ◽  
Image Detection ◽  
Automated Evaluation ◽  
Pain Scales ◽  
Statistical Data Mining ◽  
Pain Detection ◽  
Pain Analysis

Pain analysis in newborns has become a relevant study subject over the last few decades, given the inability to objectively identify the source and intensity of the pain in newborn babies. Over the last few years, several methods for pain detection and evaluation were able to classify pain levels using facial expressions from newborn babies, through statistical models, machine learning and deep learning. Considering this context, health professionals are increasingly more interested in having computerized tools at their disposal. These tools would not only be able to accurately rank the newborn’s potential pain level, but also identify the facial regions of greatest relevance for a particular pain phenomenon. This dissertation’s main objective is to develop a computer framework capable of recognizing and interpreting patterns in facial expressions for an automated evaluation of pain levels on term babies. Specifically, this dissertation focuses on the investigation, implementation and integration of a series of techniques, including image detection and segmentation, spacial normalization and, ultimately, the classification of facial expressions based on information obtained through statistical data mining. Finally, the framework developed here, evaluated with an accuracy (upper limit) of approximately 96% for the COPE base and 77% for the UNIFESP base, reveal that it is possible to not only rank pain levels statistically through images of facial expressions, but also to identify key facial regions for certain pain phenomena, therefore assisting in creating more general and accurate pediatric pain scales

scholarly journals Identification of Body Behaviors and Facial Expressions Associated with Induced Orthopedic Pain in Four Equine Pain Scales

Animals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 2155
Author(s):  
Katrina Ask ◽  
Marie Rhodin ◽  
Lena-Mari Tamminen ◽  
Elin Hernlund ◽  
Pia Haubro Andersen
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Pain Assessment ◽  
Head Position ◽  
Position Location ◽  
Interactive Behavior ◽  
Pain Scales ◽  
Before And After ◽  
Pain Detection ◽  
Movement Asymmetry

Equine orthopedic pain scales are targeted towards horses with moderate to severe orthopedic pain. Improved assessment of pain behavior and pain-related facial expressions at rest may refine orthopedic pain detection for mild lameness grades. Therefore, this study explored pain-related behaviors and facial expressions and sought to identify frequently occurring combinations. Orthopedic pain was induced by intra-articular LPS in eight horses, and objective movement asymmetry analyses were performed before and after induction together with pain assessments at rest. Three observers independently assessed horses in their box stalls, using four equine pain scales simultaneously. Increase in movement asymmetry after induction was used as a proxy for pain. Behaviors and facial expressions commonly co-occurred and were strongly associated with movement asymmetry. Posture-related scale items were the strongest predictors of movement asymmetry. Display of facial expressions at rest varied between horses but, when present, were strongly associated with movement asymmetry. Reliability of facial expression items was lower than reliability of behavioral items. These findings suggest that five body behaviors (posture, head position, location in the box stall, focus, and interactive behavior) should be included in a scale for live assessment of mild orthopedic pain. We also recommend inclusion of facial expressions in pain assessment.

Small Industry, Gimmicks and Moscow Statistics, or How the Small Russian Enterprise Came into the World (Russian Physiological Sketch, 1830-1840)

2009 ◽  
pp. 123-129
Author(s):  
Yu. Golubitsky
Keyword(s):  
Small Businesses ◽  
Statistical Data ◽  
Russian Enterprise ◽  
Small Enterprises ◽  
Business Practices ◽  
Way Of Life ◽  
The World ◽  
Small Industry ◽  
Xix Century

The article considers business practices of Moscow small industry in the XIX century, basing upon physiological sketches of N. Polevoy and I. Kokorev, statistical data and the classification of professions are also presented. The author claims that the heroes of the analyzed sketches are the forefathers of Moscow small businesses and shows what a deep similarity their occupations and a way of life bear to the present-day routine existence of small enterprises.

Statistical Data Mining

2005 ◽  
pp. 381-408
Author(s):  
Amanda White ◽  
Praveen Kumar
Keyword(s):  
Data Mining ◽  
Statistical Data ◽  
Statistical Data Mining

scholarly journals THE DISTRIBUTION CONDITIONS, THE COMPOSITION AND STRUCTURE OF THE SOILS OF THE KHARKOV SUITE OF PALEOGENE OF THE SOUTHEAST OF BELARUS

2019 ◽  
Vol 14 (2) ◽  
pp. 60-73
Author(s):  
O. I. Galeznik ◽  
A. N. Galkin
Keyword(s):  
Statistical Data ◽  
Fine Sand ◽  
Soil Sampling ◽  
Laboratory Studies ◽  
Composition And Structure ◽  
The Republic ◽  
Size And Morphology ◽  
The City

The deposits of the Kharkov suite of Paleogene of Belarus are the soils formed at the turn of existence and regression of the last sea basin and the final establishment of the continental situation in the territory of the country. They are widely spread in the south of the republic and lie mostly at depths of 100–110 m. In the southeast of Belarus, along the valleys of large rivers, these soils often reach the surface. The latter predetermined their active use as the foundations of structures. This is especially pronounced in the city of Gomel, where a wide development of territories is currently underway, within which these soils lie at depths of less than 10 m. The purpose of the work is to characterize the conditions for the distribution of the soils of the Kharkov suite of Paleogene within the southeast of Belarus and to study the characteristics of their composition and structure. The work is based on the results of the author's field and laboratory studies, which included a description of the outcrops, pits, and well cores; soil sampling; determination of their chemical and mineral, granulometric and microaggregate compositions, moisture characteristics for the classification of clay soils, as well as the results of statistical data processing. The paper presents the typification of the soil strata of the Kharkov suite of Paleogene of the southeast of Belarus, which allowed us to isolate three characteristic sites that differ in terms of their distribution, depth, thickness of the strata and composition of the soils. Nine granulometric sand and clay differences within the isolated areas were identified. The study of chemical-mineral and granulometric compositions of soils made it possible to identify their significant changes, both in area and in the section, which is caused by confinement to various facies zones, frequent migration of the coastline, long and uneven erosion and glacier-exaction destruction. The interrelation of the mineral composition, size and morphology of sandy soil particles is analyzed, it is noted that in all their varieties medium and fine sand fractions differ in the greatest mineral diversity.

Sign in / Sign up

Export Citation Format

Share Document