scholarly journals BIOMECHANICAL CHARACTERISTICS OF MUSCULAR AND POSTURAL REGULATION OF CONDITIONALLY LIGHTWEIGHT WEIGHTLIFTERS DURING THE BASIC PERIOD OF TRAINING

2017 ◽  
Vol 17 (3) ◽  
pp. 76-93
Author(s):  
A Isaev ◽  
V Erlikh ◽  
A Nenasheva ◽  
N Kleshchenkova ◽  
KukkhAbdulRahmanAhmedMosa
Keyword(s):  
Basic Period ◽  
Postural Regulation

Neuroclusterization method of stabilometric data

2021 ◽  
Author(s):  
I.V. Stepanyan ◽  
S.S. Grokhovsky ◽  
O.V. Kubryak
Keyword(s):  
Center Of Pressure ◽  
Modern Method ◽  
Individual Characteristics ◽  
Automatic Mode ◽  
Support Reaction ◽  
Subsequent Determination ◽  
Euclidean Metrics ◽  
Postural Regulation ◽  
The Individual ◽  
Neural Maps

Stabilometry is a modern method for assessing the functional state of a person by the ability to maintain a stable balance of an upright posture. Technically, the implementation of the stabilometry method consists in measuring, with the help of specialized devices, the values that make up the support reaction, with the subsequent determination, according to these measurements, of the coordinates of the center of body pressure on the support. The nature of the migrations of the center of pressure during the stabilometric study is a source of information about the features of the processes of postural regulation. At the same time, up to the present time, there is a problem of the correct interpretation of the results of stabilometry. The adequacy of the conclusions is largely determined by the human factor, i.e. qualification of a specialist analyzing stabilometry data. Thus, in our opinion, the task of objectifying the assessment of stabilometry results is urgent. The aim of this work is to study the possibility of applying the neurocluster method using self-organizing neural networks to objectify the analysis of stabilometry data. The authors proposed a technique for analyzing the structure of individual and group stabilometric data by clustering them using selforganizing Kohonen neural maps with Euclidean metrics. Neuroclusterization of stabilometric data allows in automatic mode (without human intervention) to identify the type of group of subjects corresponding to the norm or pathology, various types of pathologies, as well as individual biometric characteristics of the subjects. The subsequent analysis of the individual characteristics of the data of the subjects, grouped in this way, makes it possible to detect deviations indicating the presence of abnormalities or the formation of various pathological conditions, which can be useful for the early diagnosis of diseases.

scholarly journals Postural regulation is deteriorated in early Alzheimer disease

2013 ◽  
Vol 56 ◽  
pp. e226
Author(s):  
A. Jossart ◽  
P. Carette ◽  
B. Dugué ◽  
E. Watelain ◽  
G. Kemoun
Keyword(s):  
Alzheimer Disease ◽  
Postural Regulation

Report of the Managing Director to the Board of Governors and to the Executive Board Pursuant to Article XVIII, Section 4©

Policy Papers ◽  
2016 ◽  
Vol 2016 (24) ◽  
Author(s):  
Keyword(s):  
Executive Board ◽  
Board Of Governors ◽  
Basic Period ◽  
Special Drawing ◽  
Special Drawing Rights

This report is submitted pursuant the provisions of the Articles of Agreement relating to a general allocation or cancellation of Special Drawing Rights (SDR). The Articles provide for periodic consideration and decisions on SDR allocations or cancellations in the context of consecutive basic periods of normally five years of duration (Article XVIII, Section 2(a)). The Tenth Basic Period for a general allocation or cancellation of SDRs began on January 1, 2012 and is scheduled to end on December 31, 2016. The Eleventh Basic Period will commence on January 1, 2017.

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