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Luca Palmerini
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2020 – today
- 2024
- [j11]Jose Albites-Sanabria
, Pierpaolo Palumbo
Real-World Balance Assessment While Standing for Fall Prediction in Older Adults. IEEE Trans. Biomed. Eng. 71(3): 1076-1083 (2024) - [c11]Vinzenz Gerhard, Luka Miskovic, Alex Nanni, Enrica Tricomi, Francesco Missiroli, Luca Palmerini, Lorenzo Chiari, Lorenzo Masia:
Design of a High Bandwidth Actuation for Seamless Assistance in Walking and Running. BioRob 2024: 1088-1094 - [c10]Maria Sole Cavaglià, Sergio D. Sierra Marín, Luca Palmerini, Silvia Orlandi, Marcela Múnera, Carlos A. Cifuentes:
Towards Safer Mobility: Developing and Evaluating a Fall Detection System for a Smart Walker. BioRob 2024: 1623-1628 - 2023
- [c9]Jose Albites-Sanabria, Pierpaolo Palumbo, Stefania Bandinelli, Luca Palmerini, Lorenzo Chiari:
Fall Risk Assessment Using Wearable-Based Turn Detection: Comparison of Different Algorithms During Real-World Monitoring. BIOSIGNALS 2023: 294-300 - 2022
- [j10]Serena Moscato, Luca Palmerini, Pierpaolo Palumbo, Lorenzo Chiari:
Quality Assessment and Morphological Analysis of Photoplethysmography in Daily Life. Frontiers Digit. Health 4 (2022) - 2021
- [j9]Asier Brull Mesanza
Machine Learning Based Fall Detector With a Sensorized Tip. IEEE Access 9: 164106-164117 (2021) - [j8]Muhammad Awais
Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification. Sensors 21(14): 4669 (2021) - 2020
- [j7]Luca Cattelani, Federico Chesani, Luca Palmerini
A rule-based framework for risk assessment in the health domain. Int. J. Approx. Reason. 119: 242-259 (2020) - [j6]Luca Palmerini
Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls. Sensors 20(22): 6479 (2020)
2010 – 2019
- 2019
- [j5]Muhammad Awais
Physical Activity Classification for Elderly People in Free-Living Conditions. IEEE J. Biomed. Health Informatics 23(1): 197-207 (2019) - 2016
- [j4]Muhammad Awais
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. Sensors 16(12): 2105 (2016) - [c8]Muhammad Awais
Physical activity classification using body-worn inertial sensors in a multi-sensor setup. RTSI 2016: 1-4 - 2015
- [j3]Luca Palmerini
A Wavelet-Based Approach to Fall Detection. Sensors 15(5): 11575-11586 (2015) - 2014
- [c7]Luca Cattelani
FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly. CBMS 2014: 38-41 - [c6]Luca Palmerini
Automatic Identification of Motor Patterns Leading to Freezing of Gait in Parkinson's Disease - An Exploratory Study. ICPRAM 2014: 730-734 - 2013
- [c5]Luca Cattelani, Pierpaolo Palumbo, Federico Chesani, Luca Palmerini, Lorenzo Chiari:
LPAD-based Fall Risk Assessment. PAI@AI*IA 2013: 15-20 - [c4]Luca Palmerini
Classification of Early-Mild Subjects with Parkinson's Disease by Using Sensor-Based Measures of Posture, Gait, and Transitions. AIME 2013: 176-180 - 2012
- [b1]Luca Palmerini:
Data Mining in Clinical Practice for the Quantification of Motor Impairment in Parkinson's Disease. University of Bologna, Italy, 2012 - 2011
- [j2]Sabato Mellone
Hilbert-Huang-Based Tremor Removal to Assess Postural Properties From Accelerometers. IEEE Trans. Biomed. Eng. 58(6): 1752-1761 (2011) - [j1]Luca Palmerini
Feature Selection for Accelerometer-Based Posture Analysis in Parkinson's Disease. IEEE Trans. Inf. Technol. Biomed. 15(3): 481-490 (2011) - [c3]Luca Palmerini
Dimensionality reduction for the quantitative evaluation of a smartphone-based Timed Up and Go test. EMBC 2011: 7179-7182 - 2010
- [c2]Luca Palmerini, Laura Rocchi, Sabato Mellone, Lorenzo Chiari, Franco Valzania:
Feature Selection for the Instrumented Timed Up and Go in Parkinson's Disease. KDIR 2010: 95-99 - [c1]Luca Palmerini
A Clinical Application of Feature Selection: Quantitative Evaluation of the Locomotor Function. IC3K 2010: 151-157
Coauthor Index
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