
In the present study, we classify emotional state into two groups: normal state and stressful state, according to the parameters of registered signals by developed hardware-software complex, based on the linear discriminant analysis (LDA) method. The registered signals are electrocardiography (ECG), electroencephalography (EEG), galvanic skin response (GSR). Method LDA is widely used in biomedical research, and in the problems of diagnosing diseases.
линейный анализ, биомедицинские исследования, дискриминантный анализ, стрессы, диагностика, заболевания, эмоциональные состояния
линейный анализ, биомедицинские исследования, дискриминантный анализ, стрессы, диагностика, заболевания, эмоциональные состояния
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
