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Frequency component is critical for the brain to execute cognitive function by way of communication and cooperation of electrical signals. Complex network could visualize the neural system quantitatively and objectively based on graph theory. In this paper, we would focus on the study of broadband electroencephalogram recordings and combine phase locking value with resilience test to uncover frequency...
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 prevention of pressure ulcers remains a significant problem in rehabilitation engineering, cushion takes an extra important role in the prevention of pressure sores for high-risk people who require wheelchairs for movements. The aim of this study was to design a cushion preventing pressure ulcers. A new efficient method to manufacture custom-contoured cushion (CCC) was proposed, and clinical research...
Prevention of pressure ulcer (PU) has been hampered for a long time by limitations of present risk assessment methodologies for carers. This paper introduces a novel solution of a portable bioimpedance spectrometer (BIS), which is designed to detect in vivo subtle changes in electrical properties of tissues at the portentous onset of PU and thereby establish a reliable assessment method for early...
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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