Transition of emotions from the negatively excited state to positive unexcited state: an ERP perspective

IF 1 4区工程技术 Q4 INSTRUMENTS & INSTRUMENTATION

Metrology and Measurement Systems Pub Date : 2023-07-20 DOI:10.24425/mms.2022.140030

M. Singh, Mandeep Singh

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引用次数: 0

Abstract

The cognitive aspects like perception, problem-solving, thinking, task performance, etc., are immensely inﬂuenced by emotions making it necessary to study emotions. The best state of emotion is the positive unexcitedstate,alsoknownastheHighValenceLowArousal(HVLA)stateoftheemotion.Thepsychologists endeavourtobringthesubjectsfromanegativelyexcitedstateofemotion(LowValenceHighArousalstate) toapositiveunexcitedstateofemotion(HighValenceLowArousalstate).Intheﬁrstpartofthisstudy, afour-classsubjectindependentemotionclassiﬁerwasdevelopedwithanSVMpolynomialclassiﬁer usingaverageEventRelatedPotential(ERP)anddiﬀerentialaverageERPattributes.Thevisuallyevoked Electroencephalogram(EEG)signalswereacquiredfrom24subjects.Thefour-classclassiﬁcationaccuracy was83%usingaverageERPattributesand77%usingdiﬀerentialaverageERPattributes.Inthesecond partofthestudy,themeditativeinterventionwasappliedto20subjectswhodeclaredthemselvesnegatively excited(inLowValenceHighArousalstateofemotion).TheEEGsignalswereacquiredbeforeandafter themeditativeintervention.Thefour-classsubjectindependentemotionclassiﬁerdevelopedinStudy1 correctlyclassiﬁedthese20subjectstobeinanegativelyexcitedstateofemotion.Aftertheintervention,16 subjectsself-assessedthemselvestobeinapositiveunexcited(HVLA)stateofemotion(whichshowsthe interventionaccuracyof80%).Testingafour-classsubjectindependentemotionclassiﬁerontheEEGdata acquiredafterthemeditativeinterventionvalidated13of16subjectsinapositiveunexcitedstate,yielding anaccuracyof81.3%.

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情绪从消极兴奋状态到积极未兴奋状态的转变：ERP视角

认知方面，如感知、解决问题、思考、任务执行等，都受到情绪的极大影响，因此有必要研究情绪。情绪的最佳状态是积极的未激发状态，也被称为高价低兴奋（HVLA）运动状态。心理学家们努力将受试者的消极情绪从兴奋的运动状态（低价高兴奋状态）转变为积极的未激励运动状态（高价低激动状态）。在本研究的第一部分，SVM多项式类使用平均事件相关电位（ERP）和不同的平均ERPatt值开发了四个与类别受试者无关的运动类别。从24名受试者中获得了可视化脑电图（EEG）信号。使用平均ERPat值时，四个类别的定位准确率为83%，使用不同的平均er值时，准确率为77%。在第二部分研究中，将编辑性干预应用于20名受试者，这些受试者被认为是负兴奋的（在运动的低价高Arousalstate中）。在编辑性干预前后重新获得EEG信号。研究中开发的四类独立于受试者的运动类别1正确的类别使这20名受试者处于负运动状态。干预后，16名受试者被评估为处于积极的未激发（HVLA）运动状态（干预准确率为80%）。在编辑干预后获得的EEG数据中，对四类受试者独立运动状态进行了验证，16名被试中有13名处于积极的非激发状态，产生了81.3%的准确率。

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来源期刊

Metrology and Measurement Systems INSTRUMENTS & INSTRUMENTATION-

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

6 months

期刊介绍： Contributions are invited on all aspects of the research, development and applications of the measurement science and technology. The list of topics covered includes: theory and general principles of measurement; measurement of physical, chemical and biological quantities; medical measurements; sensors and transducers; measurement data acquisition; measurement signal transmission; processing and data analysis; measurement systems and embedded systems; design, manufacture and evaluation of instruments. The average publication cycle is 6 months.