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Fast Extraction of Somatosensory Evoked Potential by Using Multi-Adaptive Filter Based on FPGA

Author: ZhangYuQi
Tutor: HuYong；XieXiaoBo；CuiHongYan
School: Peking Union Medical College , China
Course: Biomedical Engineering
Keywords: Somatosensory evoked potentials Adaptive filter Radial basis function neural network Programmable logic device
CLC: R318.0
Type: Master's thesis
Year: 2010
Downloads: 20
Quote: 0
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Abstract


Somatosensory evoked potentials (Somatosensory Evoked Potential; SEP) electrophysiological responses of the nervous system to the outside world somatosensory stimulation may reflect the integrity of the spinal cord and central nervous system function , which is used in intraoperative spinal cord monitoring . Clinical practice , SEP detection by the impact of a variety of noise sources , the signal-to-noise ratio is very low , generally requires the use of coherent averaging superimposed technology to pick up their information . This method is time-consuming and may delay the diagnosis of spinal cord injury , resulting in patients with irreversible neurological impairment . It is necessary to study the somatosensory evoked potential fast picking technique . This study combines adaptive filtering and neural network technology , a complex adaptive filter . Grade adaptive noise cancellation the composite adaptive filter before as a pre-filtering , as much as possible to improve the signal-to-noise ratio ; stage utilizes the radial basis function neural networks for signal fitting extract the SEP signal characteristics . On this basis , the present study different experimental studies : quantitative analysis simulation not only mention of composite adaptive filter on SEP template signal ; but clinical animal experiments the method is verified on the actual SEP signal extraction sex . Meanwhile , the results of animal experiments confirmed that the method is faster than the average stacking technique manifestation of spinal cord injury . The composite adaptive filter in order to further develop the application of clinical research , we also build a set based on field programmable gate array (FPGA) , real-time signal processing systems , and on the platform . The experiments show that FPGA-based composite adaptive filter can achieve the extraction of SEP .

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