Human Movement and CognitiVE Analysis Group
H-Move Group
The research group carries out its activities at the BioLab laboratory and the PolitoBIOMedLab Interdepartmental Center. The group work is primarily focused on the acquisition and processing of multimodal signals for the analysis and improvement of human function, both in terms of motor and cognitive/behavioral aspects, through the recording, analysis, and mathematical modeling of biological signals and the adoption and development of innovative technologies.
Specifically, the main lines of research include:
i. Development of methods and systems for the multi-factorial analysis of human movement in terms of kinematics, dynamics, and muscle electrical activity for the assessment of motor capacity (in laboratory environments) and motor performance (in real-life environments). In this context, the instrumental techniques used range from the use of integrated high-resolution optoelectronic systems to force measurements, to the use of miniaturized wearable sensors and portable electromyographic systems.
ii. Design of analytical approaches and tools for assessing cognitive, emotional, and behavioral aspects based on multimodal monitoring of physiological signals. In this context, measurement procedures include brain signals (electroencephalogram and hemodynamic response), eye tracking, electrodermal activity, cardiac variability, and changes in blood volume in tissues.
iii. Development and validation of mathematical models and signal processing techniques, including algorithms for characterizing neuromuscular control, detecting intervals of muscle activity, optimizing the placement of microelectrodes for neurostimulation, solving inverse problems for source separation and estimating internal parameters from noninvasive measurements, and sensor fusion filters.
iv. Design and implementation of tools to support rehabilitation and enabling interventions aimed at recovering motor and cognitive functions in clinical and home settings. In this area, instrumental techniques include neuromodulation (transcranial magnetic stimulation, deep brain stimulation), the use of brain-computer interfaces (BCIs) and neurofeedback, closed-loop neurostimulation, as well as the development of exer-gaming solutions and interactive virtual environments.
The research team's expertise allows for targeted responses and advanced services in various application areas, including: Functional assessment, motor performance monitoring, and fall risk in patients with orthopedic, neurological, and neurodegenerative diseases; Ergonomics studies, assessment of work-related stress and reduced cognitive performance associated with emotional overload; Optimization of sports performance, injury prevention, and management; Development of innovative interventions for habilitation and (tele) rehabilitation.
Specifically, the main lines of research include:
i. Development of methods and systems for the multi-factorial analysis of human movement in terms of kinematics, dynamics, and muscle electrical activity for the assessment of motor capacity (in laboratory environments) and motor performance (in real-life environments). In this context, the instrumental techniques used range from the use of integrated high-resolution optoelectronic systems to force measurements, to the use of miniaturized wearable sensors and portable electromyographic systems.
ii. Design of analytical approaches and tools for assessing cognitive, emotional, and behavioral aspects based on multimodal monitoring of physiological signals. In this context, measurement procedures include brain signals (electroencephalogram and hemodynamic response), eye tracking, electrodermal activity, cardiac variability, and changes in blood volume in tissues.
iii. Development and validation of mathematical models and signal processing techniques, including algorithms for characterizing neuromuscular control, detecting intervals of muscle activity, optimizing the placement of microelectrodes for neurostimulation, solving inverse problems for source separation and estimating internal parameters from noninvasive measurements, and sensor fusion filters.
iv. Design and implementation of tools to support rehabilitation and enabling interventions aimed at recovering motor and cognitive functions in clinical and home settings. In this area, instrumental techniques include neuromodulation (transcranial magnetic stimulation, deep brain stimulation), the use of brain-computer interfaces (BCIs) and neurofeedback, closed-loop neurostimulation, as well as the development of exer-gaming solutions and interactive virtual environments.
The research team's expertise allows for targeted responses and advanced services in various application areas, including: Functional assessment, motor performance monitoring, and fall risk in patients with orthopedic, neurological, and neurodegenerative diseases; Ergonomics studies, assessment of work-related stress and reduced cognitive performance associated with emotional overload; Optimization of sports performance, injury prevention, and management; Development of innovative interventions for habilitation and (tele) rehabilitation.
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Scientific coordinators
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Research team
Research area
Research topics
- Methods and tools for analyzing movement and motor control with applications in clinical, sports, and ergonomics
- Wearable measurement systems for monitoring human motor function
- Development and validation of models and algorithms for biological signal analysis and neuroengineering.
- Design and implementation of tools to support habilitation and (tel)rehabilitation interventions.
Skills
ERC sectors
Keywords
Research collaborations
Pubblicazioni da archivio istituzionale
Publications from the institutional repository
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Mesin, Luca (2026)
Data-Driven Spatio-Temporal Filters for Crosstalk Reduction in High-Density Surface EMG. In: IEEE ACCESS, vol. 14, pp. 35009-35028. ISSN 2169-3536 -
Ghislieri, Marco; Locoratolo, Lorenzo; Sciscenti, Fabrizio; Lanotte, Michele; Rizzi, ... (2026)
Muscle Network of Parkinson's Gait: A 12-Month Longitudinal Analysis Before and After Deep Brain Stimulation Surgery. In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 34, pp. 1947-1960. ISSN 1534-4320 -
Ghislieri, Marco; Leo, Nicolas; Caruso, Marco; Becker, Clemens; Cereatti, Andrea; ... (2025)
A toolbox for the identification of foot-floor contact sequences to analyze atypical gait cycles in a real-life scenario: application on patients after proximal femur fracture and healthy elderly. In: JOURNAL OF NEUROENGINEERING AND REHABILITATION, vol. 22. ISSN 1743-0003 -
Leo, N.; Ghislieri, M.; Caruso, M.; Cereatti, A.; Agostini, V. (2025)
Atypical gait cycles from pressure insoles in real-life scenarios in people with gait disorders. In: 25th National Congress of the Italian Society of Clinical Movement Analysis (SIAMOC), Cagliari (Ita), 1-4 October 2025. ISSN 0966-6362 -
Leo, Nicolas; Ghislieri, Marco; Caruso, Marco; Cereatti, Andrea; Agostini, Valentina (2025)
Atypical Gait Cycles Measured in Free-Living Conditions for Fall Prevention of Frail Subjects. In: 2025 IEEE Medical Measurements & Applications (MeMeA), Chania (Gre), May 28 - 30, 2025, pp. 1-5. ISBN: 979-8-3315-2347-3 -
Albites-Sanabria, Jose; Palumbo, Pierpaolo; D'Ascanio, Ilaria; Bonci, Tecla; Caruso, ... (2025)
Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test). In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 33, pp. 717-727. ISSN 1534-4320 -
Marcianò, Vincenzo; Cereatti, Andrea; Bertuletti, Stefano; Bonci, Tecla; Alcock, Lisa; ... (2025)
Discriminating Between Indoor and Outdoor Environments During Daily Living Activities Using Local Magnetic Field Characteristics and Machine Learning Techniques. In: IEEE SENSORS JOURNAL, vol. 25, pp. 1507-1515. ISSN 1530-437X -
Ghislieri, Marco; Locoratolo, Lorenzo; Sciscenti, Fabrizio; Knaflitz, Marco; Rizzi, ... (2025)
Improved Dual-Task Interference in Parkinson’s Disease following Deep Brain Stimulation. In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 33, pp. 4624-4635. ISSN 1534-4320 -
Sciscenti, Fabrizio; Agostini, Valentina; Rizzi, Laura; Lanotte, Michele; Ghislieri, ... (2025)
ML-STIM: Machine learning for subthalamic nucleus intraoperative mapping. In: JOURNAL OF NEURAL ENGINEERING, vol. 22. ISSN 1741-2560 -
Ahmadi, Hossein; Mesin, Luca (2025)
Universal semantic feature extraction from EEG signals: a task-independent framework. In: JOURNAL OF NEURAL ENGINEERING, vol. 22. ISSN 1741-2560 -
Caruso, M.; Digo, E.; Gastaldi, L.; Pastorelli, S.; Cereatti, A. (2024)
A constrained-based optimization method for real-time kinematics using magneto-inertial signals: application to upper limb joint angles estimation during prolonged recordings. In: IEEE ACCESS, vol. 12, pp. 115615-115627. ISSN 2169-3536 -
Pantzar-Castilla, Evelina; Balta, Diletta; Croce, Ugo Della; Cereatti, Andrea; Riad, ... (2024)
Feasibility and usefulness of video-based markerless two-dimensional automated gait analysis, in providing objective quantification of gait and complementing the evaluation of gait in children with cerebral palsy. In: BMC MUSCULOSKELETAL DISORDERS, vol. 25, pp. 1-12. ISSN 1471-2474 -
Kirk, Cameron; Küderle, Arne; Micó-Amigo, M. Encarna; Bonci, Tecla; Paraschiv-Ionescu, ... (2024)
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device. In: SCIENTIFIC REPORTS, vol. 14. ISSN 2045-2322 -
Mesin, Luca (2024)
Nonlinear spatio-temporal filter to reduce crosstalk in bipolar electromyogram. In: JOURNAL OF NEURAL ENGINEERING, vol. 21. ISSN 1741-2560 -
Balta, D; Figari, G; Paolini, G; Pantzar-Castilla, E; Riad, J; Della Croce, U; Cereatti, ... (2023)
A Model-Based Markerless Protocol for Clinical Gait Analysis Based on a Single RGB-Depth Camera: Concurrent Validation on Patients With Cerebral Palsy. In: IEEE ACCESS, vol. 11, pp. 144377-144393. ISSN 2169-3536 -
Salis, Francesca; Bertuletti, Stefano; Bonci, Tecla; Caruso, Marco; Scott, Kirsty; ... (2023)
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions. In: FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, vol. 11. ISSN 2296-4185 -
Ghislieri, Marco; Labanca, Luciana; Mosca, Massimiliano; Bragonzoni, Laura; Knaflitz, ... (2023)
Balance and Muscle Synergies during a Single-Limb Stance Task in Individuals with Chronic Ankle Instability. In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 31, pp. 4367-4375. ISSN 1534-4320 -
Romijnders, Robbin; Salis, Francesca; Hansen, Clint; Küderle, Arne; Paraschiv-Ionescu, ... (2023)
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. In: FRONTIERS IN NEUROLOGY, vol. 14. ISSN 1664-2295 -
Fiorillo, Luigi; Pedroncelli, Davide; Agostini, Valentina; Favaro, Paolo; Dalia Faraci, ... (2023)
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring. In: SLEEP, vol. 46, pp. 1-12. ISSN 0161-8105 -
Ghislieri, Marco; Lanotte, Michele; Knaflitz, Marco; Rizzi, Laura; Agostini, Valentina (2023)
Muscle synergies in Parkinson’s disease before and after the deep brain stimulation of the bilateral subthalamic nucleus. In: SCIENTIFIC REPORTS, vol. 13. ISSN 2045-2322