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Gait analysis of human plays a significant role in maintaining the well-being of our mobility and healthcare, and it can be used for various e-healthcare systems for fast medical prognosis and diagnosis. In this paper we have developed a novel body sensor network based recognition system to identify the specific gait pattern of Parkinson's disease (PD). Firstly, a BSN with 16 nodes is used to acquire...
The psychological construct `sustained attention' describes a basic component of attention characterized by the subject's readiness to detect rarely and unpredictably occurring signals over prolonged periods of time. In this study, six healthy volunteers underwent a sustained attention to response task (SART), while their electroencephalographic (EEG) were recorded contemporarily. Directed Transfer...
Currently, frequency bands not more than 40 Hz are usually used to perform mental tasks classification in brain-computer interface systems. In this study, by using Keirn's EEG data, we studied the effects of ten 10 Hz-wide subbands between 0 and 100 Hz on mental tasks classification. Features were computed in frequency domain as the sum of weighted power spectral value in each subband at each channel...
No doubt a noninvasive technique for detection of focal cerebral ischemic extent, before the focus is formed, is extremely valuable. A new approach to cerebral ischemic state analysis by approximate entropy is described in this paper. After a brief introduction to the concept, the approximate entropy, ApEn, were extracted from two different EEG time series, based on a novel cerebral ischemia experiment...
No doubt a noninvasive technique for detection of focal cerebral ischemic extent, before the focus is formed, is extremely valuable. This work presents a new approach to early evaluate the degree of focal ischemic injury by combining bispectrum estimation of electroencephalograms (EEGs) with artificial neural network (ANN). The graded ischemic injuries in 24 Sprague-Dawley (SD) rats were induced for...
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