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» A New Method for ECG Signal Feature Extraction
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ICASSP
2011
IEEE
12 years 11 months ago
Rotation invariant feature extraction from 3-D acceleration signals
In this paper, we propose a method to extract features from three-dimensional acceleration signals. The proposed method is based on the (auto-)correlation matrix of Fourier transf...
Takumi Kobayashi, Kôiti Hasida, Nobuyuki Ots...
ISCAS
2003
IEEE
102views Hardware» more  ISCAS 2003»
14 years 29 days ago
Analog wavelet transform employing dynamic translinear circuits for cardiac signal characterization
An analog QRS complex detection circuit, for pacemaker applications, based on the Wavelet Transform (WT) is presented. The system detects the wavelet modulus maxima of the QRS com...
Sandro A. P. Haddad, Richard Houben, Wouter A. Ser...
ICASSP
2011
IEEE
12 years 11 months ago
A new method for visual stylometry on impressionist paintings
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Hanchao Qi, Shannon Hughes
ICMLA
2009
13 years 5 months ago
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
The Mind Speller is a Brain-Computer Interface which enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms....
Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumer...
ICASSP
2010
IEEE
13 years 7 months ago
Privacy and security of features extracted from minutiae aggregates
This paper describes our recent analysis on the security and privacy of biometric feature vectors obtained from fingerprint minutiae. A large number of contiguous regions (cuboid...
Abhishek Nagar, Shantanu Rane, Anthony Vetro