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Generally, eye closure (EC) and eye opening (EO)-based alpha blocking has widely recognized advantages, such as being easy to use, requiring little user training, while motor imagery (MI) is difficult for some users to have concrete feelings. This study presents a hybrid brain-computer interface (BCI) combining MI and EC strategies — such an approach aims to overcome some disadvantages of MI-based...
An efficient method to extract noiseless Electrocardiogram (ECG) signal which is utilized for diagnostics purpose is presented. An adaptive neuro-fuzzy filtering which is basically a nonlinear system structure presented here for the noise cancellation of biomedical signals (like ECG, PPG etc) measured by ubiquitous wearable sensor node (USN node). This paper presents non-linear adaptive filter which...
This paper presents the designing of a neural network for the classification of Human activity. A Tri-axial accelerometer sensor, housed in a chest worn sensor unit, has been used for capturing the acceleration of the movements associated. All the three axis acceleration data were collected at a base station PC via a CC2420 2.4 GHz ISM band radio (zigbee wireless compliant), processed and classified...
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