Andreas Attenberger

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Myoelectric Signals (MES) have a long traditionwith regard to prostheses control. Due to the signals' nature, MES are prone to interference and noise. Various methods existfor preprocessing these signals before classification algorithmsto derive control information are applied. While these methodshelp to improve the source signals, parameters must be(More)
Erklärung Hiermit versichere ich, dass ich diese Diplomarbeit selbstständig verfasst habe. Ich habe dazu keine anderen als die angegebenen Quellen und Hilfsmittel verwendet. Abstract Despite the nowadays widespread availability of various medical information in computer-readable formats, it still remains challenging to structure and employ this information(More)
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