Research output per year
Research output per year
Personal profile
Research Interests
Human activity recognition using wearable sensors, artificial intelligence, machine learning, deep learning, Parkinson's disease motor symptom detection, digital signal processing
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 and; 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:andnbsp;Biomarcadores digitales para la evaluación del estado motor de pacientes con Enfermedad de Párkinson para su aplicación Clínica y Terapéutica (BIOCLITE)
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Deep learning algorithms for detecting freezing of gait in Parkinson's disease: A cross-dataset study
Sigcha, L., Borzì, L. & Olmo, G., 1 Dec 2024, In: Expert Systems with Applications. 255, 124522.Research output: Contribution to journal › Article › peer-review
Open Access -
Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers
Polvorinos-Fernández, C., Sigcha, L., Borzì, L., Olmo, G., Asensio, C., López, J. M., de Arcas, G. & Pavón, I., Nov 2024, In: Applied Sciences (Switzerland). 14, 22, 10189.Research output: Contribution to journal › Review article › peer-review
Open Access -
A Noninvasive Smart Chair System for Monitoring Postures in Sedentary Workers
Sigcha, L., Pereira, E., Lima, A., Antunes, J. T., Carvalhais, D., Sousa, D., Abreu, A., Costa, N. & Cardoso, P., 2023, 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE International Symposium on Industrial Electronics; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease
Borzì, L., Sigcha, L. & Olmo, G., May 2023, In: Sensors. 23, 9, 4426.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: A systematic review
Sigcha, L., Borzì, L., Amato, F., Rechichi, I., Ramos-Romero, C., Cárdenas, A., Gascó, L. & Olmo, G., 1 Nov 2023, In: Expert Systems with Applications. 229, 120541.Research output: Contribution to journal › Review article › peer-review
Open Access