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Lorenzo Chiari
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2020 – today
- 2024
- [j25]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) - [c32]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 - [c31]Valerio Antonio Arcobelli, A. Bruschi, Christian Vassallo, Matteo Zauli, Luca De Marchi, Stefano Maludrottu, Matteo Laffranchi, Lorenzo Chiari, Sabato Mellone:
Enhancing TWIN Lower-Limb Exoskeleton Functionalities Through Sensorized Crutches and a Trunk Inertial Measurement Unit. BioRob 2024: 1263-1268 - [c30]Ioannis Xygonakis, Riccardo Seganfreddo, Mazin Hamad, Samuel Schneider, Axel Schröder, Sandro M. Krieg, Bernhard Meyer, Lorenzo Chiari, Melissa Zavaglia, Sami Haddadin:
Transcranial Magnetic Stimulation Robotic Assistant: towards a fully automated stimulation session. BioRob 2024: 1401-1408 - 2023
- [j24]Addisu Jember Zeleke
Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis. Frontiers Artif. Intell. 6 (2023) - [j23]Valerio Antonio Arcobelli
mCrutch: A Novel m-Health Approach Supporting Continuity of Care. Sensors 23(8): 4151 (2023) - [c29]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
- [j22]Serena Moscato
Physiological responses to pain in cancer patients: A systematic review. Comput. Methods Programs Biomed. 217: 106682 (2022) - [j21]Serena Moscato, Luca Palmerini, Pierpaolo Palumbo, Lorenzo Chiari:
Quality Assessment and Morphological Analysis of Photoplethysmography in Daily Life. Frontiers Digit. Health 4 (2022) - [j20]Serena Moscato
Wrist Photoplethysmography Signal Quality Assessment for Reliable Heart Rate Estimate and Morphological Analysis. Sensors 22(15): 5831 (2022) - [j19]Silvia Imbesi
User-Centered Design Methodologies for the Prototype Development of a Smart Harness and Related System to Provide Haptic Cues to Persons with Parkinson's Disease. Sensors 22(21): 8095 (2022) - [c28]Serena Moscato, Silvia Orlandi, Andrea Giannelli
Automatic pain assessment on cancer patients using physiological signals recorded in real-world contexts. EMBC 2022: 1931-1934 - 2021
- [j18]Asier Brull Mesanza
Machine Learning Based Fall Detector With a Sensorized Tip. IEEE Access 9: 164106-164117 (2021) - [j17]Muhammad Awais
Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification. Sensors 21(14): 4669 (2021) - [c27]Silvia Imbesi, Mattia Corzani, Filippo Petrocchi
User-Centered Design of Cues with Smart Glasses for Gait Rehabilitation in People with Parkinson's Disease: A Methodology for the Analysis of Human Requirements and Cues Effectiveness. AHFE (6) 2021: 348-358 - 2020
- [j16]Kristin Taraldsen, A. Stefanie Mikolaizak, Andrea B. Maier
Digital Technology to Deliver a Lifestyle-Integrated Exercise Intervention in Young Seniors - The PreventIT Feasibility Randomized Controlled Trial. Frontiers Digit. Health 2: 10 (2020) - [j15]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) - [j14]Luca Palmerini
Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls. Sensors 20(22): 6479 (2020) - [c26]Pierpaolo Palumbo, Luca Cattelani, Federica Fusco, Mirjam Pijnappels, Lorenzo Chiari, Federico Chesani, Sabato Mellone:
A Recommender System for Behavioral Change in 60-70-year-old Adults. AIxAS@AI*IA 2020: 69-80
2010 – 2019
- 2019
- [j13]Alice Coni
Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61-70 Years Old. Sensors 19(3): 449 (2019) - [j12]Elena Borelli, Giacomo Paolini
HABITAT: An IoT Solution for Independent Elderly. Sensors 19(5): 1258 (2019) - [j11]Alice Coni
An Exploratory Factor Analysis of Sensor-Based Physical Capability Assessment. Sensors 19(10): 2227 (2019) - [j10]Muhammad Awais
Physical Activity Classification for Elderly People in Free-Living Conditions. IEEE J. Biomed. Health Informatics 23(1): 197-207 (2019) - [j9]Luca Cattelani
Risk Prediction Model for Late Life Depression: Development and Validation on Three Large European Datasets. IEEE J. Biomed. Health Informatics 23(5): 2196-2204 (2019) - [c25]Lorenzo Chiari:
Digital Health Challenges in the Silver Era. SERVICES 2019: 240-241 - [p1]Alexandra Danial-Saad, Lorenzo Chiari
"Touchscreen Assessment Tool" (TATOO), an Assessment Tool Based on the Expanded Conceptual Model of Frailty. Enhanced Living Environments 2019: 96-107 - 2017
- [c24]Alexandra Danial-Saad, Lorenzo Chiari
Developing an Assessment (Tool) for Touch Screen Devices. AAATE Conf. 2017: 755-761 - 2016
- [j8]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) - [c23]Alan K. Bourke, Jochen Klenk
Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach. EMBC 2016: 3712-3715 - [c22]Anisoara Paraschiv-Ionescu, Sabato Mellone
Patterns of human activity behavior: from data to information and clinical knowledge. UbiComp Adjunct 2016: 841-845 - [c21]Alberto Ferrari, Pieter Ginis
Handling Gait Impairments of Persons with Parkinson's Disease by Means of Real-Time Biofeedback in a Daily Life Environment. ICOST 2016: 250-261 - [c20]Muhammad Awais
Physical activity classification using body-worn inertial sensors in a multi-sensor setup. RTSI 2016: 1-4 - [c19]Alice Coni, Sabato Mellone
Association between smartphone-based activity monitoring and traditional clinical assessment tools in community-dwelling older people. RTSI 2016: 1-4 - [e1]Carl K. Chang, Lorenzo Chiari, Yu Cao, Hai Jin, Mounir Mokhtari, Hamdi Aloulou:
Inclusive Smart Cities and Digital Health - 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Wuhan, China, May 25-27, 2016. Proceedings. Lecture Notes in Computer Science 9677, Springer 2016, ISBN 978-3-319-39600-2 [contents] - 2015
- [c18]Ather Nawaz, Jorunn Lægdheim Helbostad, Lorenzo Chiari
User Experience (UX) of the Fall Risk Assessment Tool (FRAT-up). CBMS 2015: 19-22 - [c17]Muhammad Awais
Physical activity classification meets daily life: Review on existing methodologies and open challenges. EMBC 2015: 5050-5053 - [c16]Alice Coni, Sabato Mellone
Influence of age and gender on sensor-based functional measures: A factor analysis approach. EMBC 2015: 5054-5057 - [c15]Alan K. Bourke, Jochen Klenk
Temporal and kinematic variables for real-world falls harvested from lumbar sensors in the elderly population. EMBC 2015: 5183-5186 - [c14]Lorenzo Chiari:
Sense and sensibility: smartphones and wearable technologies to support seniors. W4A 2015: 1:1 - 2014
- [j7]Mahmoud El-Gohary
Continuous Monitoring of Turning in Patients with Movement Disability. Sensors 14(1): 356-369 (2014) - [c13]Luca Cattelani
FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly. CBMS 2014: 38-41 - [c12]Luca Palmerini
Automatic Identification of Motor Patterns Leading to Freezing of Gait in Parkinson's Disease - An Exploratory Study. ICPRAM 2014: 730-734 - 2013
- [c11]Luca Cattelani, Pierpaolo Palumbo, Federico Chesani, Luca Palmerini, Lorenzo Chiari:
LPAD-based Fall Risk Assessment. PAI@AI*IA 2013: 15-20 - [c10]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
- [j6]Valeria Lucia Fuschillo, Fabio Bagalà, Lorenzo Chiari
Accelerometry-based prediction of movement dynamics for balance monitoring. Medical Biol. Eng. Comput. 50(9): 925-936 (2012) - 2011
- [j5]Sabato Mellone
Hilbert-Huang-Based Tremor Removal to Assess Postural Properties From Accelerometers. IEEE Trans. Biomed. Eng. 58(6): 1752-1761 (2011) - [j4]Luca Palmerini
Feature Selection for Accelerometer-Based Posture Analysis in Parkinson's Disease. IEEE Trans. Inf. Technol. Biomed. 15(3): 481-490 (2011) - [c9]Lorenzo Chiari
Wearable systems with minimal set-up for monitoring and training of balance and mobility. EMBC 2011: 5828-5832 - [c8]Luca Palmerini
Dimensionality reduction for the quantitative evaluation of a smartphone-based Timed Up and Go test. EMBC 2011: 7179-7182 - [c7]Carlo Tacconi, Sabato Mellone
Smartphone-based applications for investigating falls and mobility. PervasiveHealth 2011: 258-261 - 2010
- [j3]Marco Benocci, Carlo Tacconi, Elisabetta Farella
Accelerometer-based fall detection using optimized ZigBee data streaming. Microelectron. J. 41(11): 703-710 (2010) - [c6]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 - [c5]Luca Palmerini
A Clinical Application of Feature Selection: Quantitative Evaluation of the Locomotor Function. IC3K 2010: 151-157
2000 – 2009
- 2009
- [j2]Marco Pirini, Laura Rocchi, Mariachiara Sensi
A computational modelling approach to investigate different targets in deep brain stimulation for Parkinson's disease. J. Comput. Neurosci. 26(1): 91-107 (2009) - [c4]Marco Benocci, Laura Rocchi, Elisabetta Farella
A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units. PervasiveHealth 2009: 1-6 - 2008
- [c3]Laura Rocchi, Marco Benocci, Elisabetta Farella
Validation of a wireless portable biofeedback system for balance control: Preliminary results. PervasiveHealth 2008: 254-257 - 2006
- [c2]Laura Rocchi, Martina Mancini, Lorenzo Chiari
Dependence of anticipatory postural adjustments for step initiation on task movement features: a study based on dynamometric and accelerometric data. EMBC 2006: 1489-1492 - [c1]Davide Brunelli
Bio-feedback System for Rehabilitation Based on a Wireless Body Area Network. PerCom Workshops 2006: 527-531 - 2005
- [j1]Lorenzo Chiari
Audio-biofeedback for balance improvement: an accelerometry-based system. IEEE Trans. Biomed. Eng. 52(12): 2108-2111 (2005)
Coauthor Index
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last updated on 2024-11-11 21:30 CET by the dblp team
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