Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG Andrea Patan`e and Marta Kwiatkowska Department of Computer Science, University of Oxford

First Page		Document Content
Date: 2018-07-24 04:40:17 Artificial neural networks Computational neuroscience Applied mathematics Neuroscience Cybernetics Computational statistics Market research Deep learning Heart rate variability Emotion recognition Recurrent neural network Affective computing		Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG Andrea Patan`e and Marta Kwiatkowska Department of Computer Science, University of Oxford Add to Reading List Source URL: qav.comlab.ox.ac.uk Download Document from Source Website File Size: 389,84 KB Share Document on Facebook

	Analysis of Heart Rate Variability during Meditation by a Pattern Recognition Method Sukanya Phongsuphap* and Yongyuth Pongsupap Ratchathewi, Bangkok, Thailand The main objective of this study is to investigate patterns DocID: 1vsho - View Document
	EXPERT SERIES Heart Rate Variability Training Donald Moss, Ph.D. DocID: 1sRCH - View Document
	RESEARCH ARTICLE Neuropsychiatric Genetics BDNF Val66Met Polymorphism Alters Sympathovagal Balance in Healthy Subjects Albert C. Yang,1,2,3* Tai-Jui Chen,4 Shih-Jen Tsai,3,5 Chen-Jee Hong,3,5,6 Chung-Hsun Kuo,6 DocID: 1rsDB - View Document
	The heart of the story: Peripheral physiology during narrative exposure predicts charitable giving DocID: 1rmyx - View Document
	Phase-averaged characterization of respiratory sinus arrhythmia pattern O. Gilad, C. A. Swenne, L. R. Davrath and S. Akselrod Am J Physiol Heart Circ Physiol 288:, 2005. First published Sep 23, 2004; doi:a DocID: 1r6qC - View Document