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Method and apparatus for identifying constituent signal components from a plurality of evoked physiological composite signals
Method and apparatus for identifying constituent signal components from a plurality of evoked physiological composite signals
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机译:从多个诱发的生理复合信号中识别组成信号成分的方法和装置
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摘要
A novel application of independent component analysis (ICA) to data acquired by a single sensor. The technique exploits the unique relationship between multiple physiologic (source) and electronic (artifact) components in surface recorded sensory nerve action potential (SNAP) waveforms that are evoked by different activating magnitudes. A forward model of the SNAP is developed and used to test the approach on a simplified data simulation. The method is applied to experimental data and shown to be effective at separating artifact and source components and reconstructing artifact-free traces. A method of automated reconstruction for use within an expert system is also disclosed.
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