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Susam, 2017 - Google Patents

Pain Assessment with Electrodermal Activity Signals by Machine Learning Applications

Susam, 2017

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Document ID
1601887550316230227
Author
Susam B
Publication year

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Snippet

Objective and automated pain detection has been one of the key concerns of clinical researches for many years. The modern techniques for automated pain detection are based on machine learning methods that distinguish pain condition from no-pain condition mainly …
Continue reading at d-scholarship.pitt.edu (PDF) (other versions)

Classifications

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    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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