Recognition of positive and negative valence states in children with autism spectrum disorder (ASD) using discrete wavelet transform (DWT) analysis of electrocardiogram signals (ECG).
Anandhi BagirathanJerritta SelvarajAnusuya GurusamyHimangshu DasPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- discrete wavelet transform
- positive and negative
- autism spectrum disorder
- qualitative analysis
- heart rate variability
- wavelet coefficients
- wavelet domain
- multiresolution
- image watermarking
- ecg signals
- decision rules
- high frequency
- shift invariant
- low frequency
- haar wavelet transform
- quantitative analysis
- dual tree complex wavelet transform
- high risk
- jpeg compression
- digital watermarking
- complex wavelet transform
- subband
- lifting scheme
- image fusion
- dual tree
- heart rate
- signal processing
- wavelet transform
- recognition algorithm
- feature extraction
- denoising
- bit rate
- social behavior
- visual perception
- object recognition
- machine learning
- image processing