EPIFANTSEV BORIS NIKOLAEVICH,Епифанцев Борис Николаевич,KOVALCHUK ANDREJ SERGEEVICH,Ковальчук Андрей Сергеевич
申请号：
RU2014143870/14
公开号：
RU0002579422C1
申请日:
2014.10.29
申请国别(地区):
RU
年份:
2016
代理人:
摘要：
FIELD: psychophysiology.SUBSTANCE: perform hidden assessment and monitoring of hazardous psychophysiological conditions (PPC) of human-machine system operator during professional activities (PA) taking into account compared parameters of cardiogram (ECG) when hiring operator or re-evaluating knowledge on object-simulator when performing different types of PA and on the real object. First, parameters are evaluated in initial state - before the beginning of PA, then - during PA on object-simulator, then -on the real object. Based on comparison results the decision on operator`s PPC is taken. Upon that ECG is registered without the knowledge of a person being tested. Stationary sections of ECG are defined with subsequent formation of probability density of heart rate variability (HRV) parameters on each of them. Their are accepted as references of operator`s adequate PPC in the initial state and at the stage of performing standard PA tasks on object-simulator. Prior to PA on the real object perform authentication of operator while simultaneously recording his ECG and separating stationary sections and forming on each of them the distribution density of HRV indices detected at previous stages. Define degree of similarity of the obtained probability density of these indices at the initial stationary section with standard distribution sample obtained earlier when operator was in the initial state prior to PA on object-simulator. Tolerance to PA at real object is performed under two conditions: presence of operator`s authenticator and adequate PPC which is determined, if the degree of similarity of HRV probability density exceeds the specified level. Otherwise the operator`s permit to work at real object is locked. In process of PA at he real object upon ECG recording the probability density of HRV indices obtained on each following stationary section is compared with appropriate previously received distributions-references. Distribution which is the most close to the curr
