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» A New Method for ECG Signal Feature Extraction
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ICASSP
2011
IEEE
12 years 9 months ago
Time-frequency analysis compensating missing data for Atrial Fibrillation ECG assessment
We propose a novel algorithm for temporal tracking of the fibrillatory frequency for Atrial Fibrillation (AF) ECG. Both Atrial activity extraction and fibrillatory frequency tra...
Sandun Kodituwakku, Rodney A. Kennedy, Thushara D....
ICPR
2010
IEEE
13 years 4 months ago
Robust ECG Biometrics by Fusing Temporal and Cepstral Information
—The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a nove...
Ming Li, Shrikanth Narayanan
ISCI
2008
188views more  ISCI 2008»
13 years 5 months ago
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface
In order to characterize the non-Gaussian information contained within the EEG signals, a new feature extraction method based on bispectrum is proposed and applied to the classifi...
Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda
ISCAS
2006
IEEE
116views Hardware» more  ISCAS 2006»
13 years 11 months ago
Signal processing for brain-computer interface: enhance feature extraction and classification
Abstract-In this paper we present a new scheme for brain imaginary movement invovles sophisticated spatial-temporalsignal processing and classification for electroencephalogram spe...
Haihong Zhang, Cuntai Guan, Yuanqing Li
ESWA
2011
249views Database» more  ESWA 2011»
13 years 5 days ago
Personalized long-term ECG classification: A systematic approach
This paper presents a personalized long-term electrocardiogram (ECG) classification framework, which addresses the problem within a long-term ECG signal, known as Holter register, ...
Serkan Kiranyaz, Turker Ince, Jenni Pulkkinen, Mon...