The work is part of the activities of the signal and data processing group of the TecnoCampus and the competitive project TAPEO (Advanced techniques for preprocessing online writing for device interoperability) funded by the Ministry of Science and Innovation, in the last call.

Professor Marcos Faúndez publishes the article “Exploiting Spectral and Cepstral Handwriting Features on Diagnosing Parkinson's Disease” in the indexed first quartile journal IEEE Access. This work has been carried out jointly with researchers from the TEC in Monterrey (Mexico) and the University of Technology in Brno (Czech Republic). In the scientific study cepstral parameters are applied, widely used in voice signal processing, in writing signals, as well as Machine learning techniques. This strategy allows to raise the classification rates of Parkinson’s disease from writing to 98.57%.

The work is part of the activities of the signal and data processing group of the TecnoCampus and the competitive project TAPEO (Advanced techniques for preprocessing online writing for device interoperability) funded by the Ministry of Science and Innovation, in the last call.

The full text, published at the end of October 2021, can be consulted openly in this one link 


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Reading of a doctoral thesis directed by Professor Jordi Roquer