• DocumentCode
    1776258
  • Title

    Effect of horror clips on the physiology of ANS & heart using ECG signal classification

  • Author

    Nayak, Shriguru ; Sahoo, Swaroop ; Champaty, Biswajeet ; Pal, K.

  • Author_Institution
    Dept. of Biotechnol. & Med. Eng., Nat. Inst. of Technol., Rourkela, India
  • fYear
    2014
  • fDate
    10-11 July 2014
  • Firstpage
    480
  • Lastpage
    485
  • Abstract
    The present study reports the effect of showing horror movie clip on the autonomic nervous system (ANS) and the physiology of the conduction pathway of the heart of the volunteers. The volunteers were in the age group of 21-23 years of age and were of multi-ethnic culture. Horror clip was used to modulate the emotional states of the volunteers. The physiology of the ANS was studied non-invasively using heart rate variability (HRV) features. The changes in the physiology of the conduction pathway were monitored using ECG features and wavelet processed ECG signals. The HRV features suggested parasympathetic dominance during post-stimulus period. The time domain features were found to be significantly different using non-linear classifiers. Automated neural network based classification suggested > 80 % classification efficiency.
  • Keywords
    electrocardiography; medical signal processing; neurophysiology; signal classification; wavelet neural nets; ANS physiology; ECG signal classification; HRV features; automated neural network based classification; autonomic nervous system physiology; emotional states; heart conduction pathway physiology; heart rate variability features; horror movie clips; nonlinear classifiers; wavelet processed ECG signals; Algorithm design and analysis; Artificial neural networks; Biomedical monitoring; Classification algorithms; Electrocardiography; Heart rate variability; Time-domain analysis; Automated neural network; Boosted tree; Electrocardiogram; Heart rate variability; Random Forest; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4799-4191-9
  • Type

    conf

  • DOI
    10.1109/ICCICCT.2014.6993010
  • Filename
    6993010