Biography

Ph.D. in Mechanical Engineering, Master in Big Data Analytics from the European University of Madrid, and Master in Acoustic Engineering from the Technical University of Madrid. I did my doctoral thesis at the Instrumentation and Applied Acoustics Research Group (I2A2-UPM) in collaboration with the Ergonomics & Human Factors Group (EHF) at Universidade do Minho. My research involves the automatic detection of human movement using wearable sensors (wearables) and artificial intelligence.

Currently I'm working, as post-doctoral Researcher in the cross-European Project: WEALTH (Wearable sensors for the assessment of physical and eating behaviours) and the Spain project: Biomarcadores digitales para la evaluación del estado motor de pacientes con Enfermedad de Párkinson para su aplicación Clínica y Terapéutica (BIOCLITE)

Research Interests

Human activity recognition using wearable sensors, artificial intelligence, machine learning, deep learning, Parkinson's disease motor symptom detection, digital signal processing

Professional Activities

Employment

  • University of Limerick - Post Doctoral Researcher

Peer Reviewed Journals

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Other Journals

2022

Improvement of Performance in Freezing of Gait detection in Parkinson’s Disease using Transformer networks and a single waist-worn triaxial accelerometer

Luis Sigcha and Luigi Borzì and Ignacio Pavón and Nélson Costa and Susana Costa and Pedro Arezes and Juan Manuel López and Guillermo De Arcas (2022) Improvement of Performance in Freezing of Gait detection in Parkinson’s Disease using Transformer networks and a single waist-worn triaxial accelerometer. Engineering Applications of Artificial Intelligence :105482-

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