Federico Barbiero
Convolutional Neural Network and Source Separation for bio-signals recognition and classification.
Rel. Gabriella Olmo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Matematica, 2020
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Abstract
Vivent is a Swiss-based company working on bio-signals and it developed an autonomous multichannel recorder to detect bio-responses of plant. HEIA-FR currently working with them on the development of an autonomous multichannel recorder as well as on determining plants' status by using supervised machine learning. It is proved that electrical signals are fundamental in order to regulate physiological processes such as growth, gas exchange, respiration, transpiration and that bio-electrical activity is modified in response to stress conditions or biological cycles. The idea is to determine the plants' status by inspecting bio-electrical activity. The idea is to use the high performances CNN can reach on image classifications in order to classify signals.
At first to enhance classification performances and to better understand the available data a study on source separation has been made
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