Feature Selection for the Instrumented Timed Up and Go in Parkinson's Disease. - Luca Palmerini; Laura Rocchi; Sabato Mellone; Lorenzo Chiari; Franco Valzania (KDIR, 2010)

A Clinical Application of Feature Selection: Quantitative Evaluation of the Locomotor Function. - Luca Palmerini; Laura Rocchi; Sabato Mellone; Franco Valzania; Lorenzo Chiari (IC3K, 2010)

Dimensionality reduction for the quantitative evaluation of a smartphone-based Timed Up and Go test. - Luca Palmerini; Sabato Mellone; Laura Rocchi; Lorenzo Chiari (EMBC, 2011)

Hilbert-Huang-Based Tremor Removal to Assess Postural Properties From Accelerometers. - Sabato Mellone; Luca Palmerini; Angelo Cappello; Lorenzo Chiari (IEEE Trans. Biomed. Eng., 2011)

Feature Selection for Accelerometer-Based Posture Analysis in Parkinson's Disease. - Luca Palmerini; Laura Rocchi; Sabato Mellone; Franco Valzania; Lorenzo Chiari (IEEE Trans. Inf. Technol. Biomed., 2011)

Data Mining in Clinical Practice for the Quantification of Motor Impairment in Parkinson's Disease. - Luca Palmerini (2012)

LPAD-based Fall Risk Assessment. - Luca Cattelani; Pierpaolo Palumbo; Federico Chesani; Luca Palmerini; Lorenzo Chiari (PAI@AI*IA, 2013)

Classification of Early-Mild Subjects with Parkinson's Disease by Using Sensor-Based Measures of Posture, Gait, and Transitions. - Luca Palmerini; Sabato Mellone; Guido Avanzolini; Franco Valzania; Lorenzo Chiari (AIME, 2013)

FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly. - Luca Cattelani; Federico Chesani; Pierpaolo Palumbo; Luca Palmerini; Stefania Bandinelli; Clemens Becker; Lorenzo Chiari (CBMS, 2014)

Automatic Identification of Motor Patterns Leading to Freezing of Gait in Parkinson's Disease - An Exploratory Study. - Luca Palmerini; Laura Rocchi; Jeffrey M. Hausdorff; Lorenzo Chiari (ICPRAM, 2014)

A Wavelet-Based Approach to Fall Detection. - Luca Palmerini; Fabio Bagalà; Andrea Zanetti; Jochen Klenk; Clemens Becker; Angelo Cappello (Sensors, 2015)

Physical activity classification using body-worn inertial sensors in a multi-sensor setup. - Muhammad Awais 003; Luca Palmerini; Lorenzo Chiari (RTSI, 2016)

Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study. - Muhammad Awais 003; Luca Palmerini; Alan K. Bourke; Espen A. F. Ihlen; Jorunn L. Helbostad; Lorenzo Chiari (Sensors, 2016)

Physical Activity Classification for Elderly People in Free-Living Conditions. - Muhammad Awais 003; Lorenzo Chiari; Espen Alexander Fürst Ihlen; Jorunn L. Helbostad; Luca Palmerini (IEEE J. Biomed. Health Informatics, 2019)

A rule-based framework for risk assessment in the health domain. - Luca Cattelani; Federico Chesani; Luca Palmerini; Pierpaolo Palumbo; Lorenzo Chiari; Stefania Bandinelli (Int. J. Approx. Reason., 2020)

Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls. - Luca Palmerini; Jochen Klenk; Clemens Becker; Lorenzo Chiari (Sensors, 2020)

Machine Learning Based Fall Detector With a Sensorized Tip. - Asier Brull Mesanza; Ilaria D'Ascanio; Asier Zubizarreta; Luca Palmerini; Lorenzo Chiari; Itziar Cabanes (IEEE Access, 2021)

Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification. - Muhammad Awais 003; Lorenzo Chiari; Espen A. F. Ihlen; Jorunn L. Helbostad; Luca Palmerini (Sensors, 2021)

Quality Assessment and Morphological Analysis of Photoplethysmography in Daily Life. - Serena Moscato; Luca Palmerini; Pierpaolo Palumbo; Lorenzo Chiari (Frontiers Digit. Health, 2022)

Fall Risk Assessment Using Wearable-Based Turn Detection: Comparison of Different Algorithms During Real-World Monitoring. - Jose Albites-Sanabria; Pierpaolo Palumbo; Stefania Bandinelli; Luca Palmerini; Lorenzo Chiari (BIOSIGNALS, 2023)

Accurate and Efficient Real-World Fall Detection Using Time Series Techniques. - Timilehin B. Aderinola; Luca Palmerini; Ilaria D'Ascanio; Lorenzo Chiari; Jochen Klenk; Clemens Becker; Brian Caulfield 001; Georgiana Ifrim (AALTD@ECML/PKDD, 2024)

Towards Safer Mobility: Developing and Evaluating a Fall Detection System for a Smart Walker. - Maria Sole Cavaglià; Sergio D. Sierra Marín; Luca Palmerini; Silvia Orlandi; Marcela Múnera; Carlos A. Cifuentes (BioRob, 2024)

Design of a High Bandwidth Actuation for Seamless Assistance in Walking and Running. - Vinzenz Gerhard; Luka Miskovic; Alex Nanni; Enrica Tricomi; Francesco Missiroli; Luca Palmerini; Lorenzo Chiari; Lorenzo Masia (BioRob, 2024)

Real-World Balance Assessment While Standing for Fall Prediction in Older Adults. - Jose Albites-Sanabria; Pierpaolo Palumbo; Jorunn L. Helbostad; Stefania Bandinelli; Sabato Mellone; Luca Palmerini; Lorenzo Chiari (IEEE Trans. Biomed. Eng., 2024)

Digital Technologies for Fall Prevention: Achievements, Limitations and Future Perspectives. - Luca Palmerini (ICT4AWE, 2025)

Benchmarking of open-source algorithms for heart rate estimation from motion-corrupted photoplethysmography. - Marcello Sicbaldi; Luca Palmerini; Serena Moscato; Paola di Florio; Alessandro Silvani; Lorenzo Chiari (Comput. Biol. Medicine, 2025)