Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source.
Carlos Eric Galván-TejadaLaura A. Zanella-CalzadaHamurabi Gamboa RosalesJorge I. Galván-TejadaNubia M. Chávez-LamasMa. del Carmen Gracia-CortésRafael Magallanes-QuintanarJosé M. Celaya-PadillaPublished in: Mob. Inf. Syst. (2019)
Keyphrases
- information sources
- feature selection
- feature extraction
- genetic algorithm
- epileptic seizures
- signal detection
- frequency domain
- high risk
- positive and negative
- space time
- machine learning
- feature space
- optical flow
- dimensionality reduction
- heterogeneous information sources
- data sources
- feature set
- signal processing
- data sets
- detection algorithm
- image processing
- image sequences
- multiple information sources
- motion estimation
- classification accuracy
- text classification
- feature vectors
- moving objects
- federated search
- control signals
- principal component analysis
- heart rate
- support vector machine
- face recognition
- databases