Occupational Risk Prevention through Smartwatches: Precision and Uncertainty Effects of the Built-In Accelerometer. - Luis Sigcha; Ignacio Pavón; Pedro M. Arezes; Nélson Costa; Guillermo de Arcas; Juan-Manuel López-Navarro (Sensors, 2018)

Deep Learning Approaches for Detecting Freezing of Gait in Parkinson's Disease Patients through On-Body Acceleration Sensors. - Luis Sigcha; Nélson Costa; Ignacio Pavón; Susana Costa; Pedro M. Arezes; Juan-Manuel López-Navarro; Guillermo de Arcas (Sensors, 2020)

Automatic Resting Tremor Assessment in Parkinson's Disease Using Smartwatches and Multitask Convolutional Neural Networks. - Luis Sigcha; Ignacio Pavón; Nélson Costa; Susana Costa; Miguel F. Gago; Pedro M. Arezes; Juan-Manuel López-Navarro; Guillermo de Arcas (Sensors, 2021)

Monitoring Motor Symptoms in Parkinson's Disease Under Long Term Acoustic Stimulation. - Luis Sigcha; David Gonzalez Calleja; Ignacio Pavón; Juan-Manuel López-Navarro; Guillermo de Arcas (IWINAC (1), 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; Luigi Borzì; Ignacio Pavón; Nélson Costa; Susana Costa; Pedro M. Arezes; Juan-Manuel López-Navarro; Guillermo de Arcas (Eng. Appl. Artif. Intell., 2022)

A Noninvasive Smart Chair System for Monitoring Postures in Sedentary Workers. - Luis Sigcha; Eduarda Pereira; Ana Lima 001; João Tiago Antunes; Diana Carvalhais; Diogo Sousa 003; Abdulay Abreu; Nélson Costa; Paulo Cardoso (ISIE, 2023)

Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson's Disease. - Luigi Borzì; Luis Sigcha; Gabriella Olmo (Sensors, 2023)

Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor. - Luigi Borzì; Luis Sigcha; Daniel Rodríguez Martín; Gabriella Olmo (Artif. Intell. Medicine, 2023)

Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: A systematic review. - Luis Sigcha; Luigi Borzì; Federica Amato; Irene Rechichi; Carlos Ramos-Romero; Andrés Cárdenas; Luis Gascó; Gabriella Olmo (Expert Syst. Appl., 2023)

Evaluation of the Performance of Wearables' Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson's Disease. - Carlos Polvorinos Fernández; Luis Sigcha; Laura Pereira de Pablo; Luigi Borzì; Paulo Cardoso; Nélson Costa; Susana Costa; Juan-Manuel López-Navarro; Guillermo de Arcas; Ignacio Pavón (BIOSTEC (2), 2024)

Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer. - Luis Sigcha; Luigi Borzì; Ignacio Pavón; Nélson Costa; Susana Costa; Pedro M. Arezes; Juan-Manuel López 001; Guillermo de Arcas (CoRR, 2024)

Deep learning algorithms for detecting freezing of gait in Parkinson's disease: A cross-dataset study. - Luis Sigcha; Luigi Borzì; Gabriella Olmo (Expert Syst. Appl., 2024)

From Controlled to Free-Living Contexts: Expanding the Monitoring of Motor Symptoms in Parkinson's Disease with Wearable mHealth Technologies. - María Centeno-Cerrato; Carlos Polvorinos Fernández; Luis Sigcha; Guillermo de Arcas; César Asensio 001; Juan-Manuel López 001; Ignacio Pavón (BIOSTEC (2): HEALTHINF, 2025)

Detection of Arm Swing Limitations in Simulated Parkinson's Disease Gait Conditions: A Pilot Study. - Carlos Polvorinos Fernández; Luis Sigcha; María Centeno-Cerrato; Elena Muñoz-Bellido; César Asensio 001; Juan-Manuel López 001; Guillermo de Arcas; Ignacio Pavón (BIOSTEC (2): HEALTHINF, 2025)

Edge-based freezing of gait recognition in Parkinson's disease. - Luigi Borzì; Luis Sigcha; Farshad Firouzi; Gabriella Olmo; Florenc Demrozi (Comput. Electr. Eng., 2025)

Evolution of the Motor Symptoms in Parkinson Disease under Auditory Stimulation. - David Gonzalez Calleja; Luis Sigcha; Juan-Manuel López 001; César Asensio 001; Ignacio Pavón; Nélson Costa; Susana P. G. Costa; Miguel F. Gago; Juan Carlos Martínez-Castrillo; Guillermo de Arcas (Int. J. Neural Syst., 2025)