Mental Stress Assessment of ECG Signal Using Statistical Analysis of Bio-orthogonal Wavelet Coefficients : Part-2

@inproceedings{Malhotra2013MentalSA,
  title={Mental Stress Assessment of ECG Signal Using Statistical Analysis of Bio-orthogonal Wavelet Coefficients : Part-2},
  author={Vikas Malhotra and Mahendra Patil},
  year={2013}
}
In recent scenario, mental stress analysis is important task. There are different methods used in the literature survey to extract the mental stress. Wavelet transform as transformation, Power, Energy, entropy, Co-variance, Standard deviation and Mean, as features and K nearest neighbor (KNN) or Back Propagation are commonly used to build mental stress system. In this paper, a modified approach to mental stress level detection in a person has been proposed. In this method two lead ECG data… CONTINUE READING
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Mental Stress Assessment of ECG Signal using Statistical Analysis of Bio-Orthogonal Wavelet coefficients:Part-1

  • Vikas Malhotra, Mahendra Kumar Patil
  • Volume 2 Issue
  • 2013

An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers,

  • Singh, R.R, Conjeti, R. Banerjee
  • 14th International IEEE Conference on Intelligent…
  • 2011

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