Matteo Malosio

Dr. Matteo Malosio

National Research Council (CNR)
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2012
Verified
Conference Paper
Closed access
Matteo MalosioMatteo Malosio
Matteo Malosio
SNSimone Pio Negri
Simone Pio Negri
NPNicola Pedrocchi
Nicola Pedrocchi
FVFederico Vicentini
Federico Vicentini
CMCaimmi Marco
Caimmi Marco
LTLorenzo Molinari Tosatti
Lorenzo Molinari Tosatti
The ankle represents a fairly complex bone structure, resulting in kinematics that hinders a flawless robot-assisted recovery of foot motility in impaired subjects. The paper proposes a novel device for ankle-foot neuro-rehabilitation based on a mechatronic redesign of the remarkable Agile Eye spherical robot on the basis of clinical requisites. The kinematic design allows the positioning of the ankle articular center close to the machine rotation center with valuable benefits in term of therapy functions. The prototype, named PKAnkle, Parallel Kinematic machine for Ankle rehabilitation, provides a 6-axes load cell for the measure of subject interaction forces/torques, and it integrates a commercial EMG-acquisition system. Robot control provides active and passive therapeutic exercises.

5 April 2023 in Bioengineering
Verified
Journal Article
Open access
PDF file
CBCristina Brambilla
Cristina Brambilla
Matteo Lavit NicoraMatteo Lavit Nicora
Matteo Lavit Nicora
FSFabio Alexander Storm
Fabio Alexander Storm
GRGianluigi Reni
Gianluigi Reni
Matteo MalosioMatteo Malosio
Matteo Malosio
Alessandro ScanoAlessandro Scano
Alessandro Scano
Recent human-centered developments in the industrial field (Industry 5.0) lead companies and stakeholders to ensure the wellbeing of their workers with assessments of upper limb performance in the workplace, with the aim of reducing work-related diseases and improving awareness of the physical status of workers, by assessing motor performance, fatigue, strain and effort. Such approaches are usually developed in laboratories and only at times they are translated to on-field applications; few studies summarized common practices for the assessments. Therefore, our aim is to review the current state-of-the-art approaches used for the assessment of fatigue, strain and effort in working scenarios and to analyze in detail the differences between studies that take place in the laboratory and in the workplace, in order to give insights on future trends and directions. A systematic review of the studies aimed at evaluating the motor performance, fatigue, strain and effort of the upper limb targeting working scenarios is presented. A total of 1375 articles were found in scientific databases and 288 were analyzed. About half of the scientific articles are focused on laboratory pilot studies investigating effort and fatigue in laboratories, while the other half are set in working places. Our results showed that assessing upper limb biomechanics is quite common in the field, but it is mostly performed with instrumental assessments in laboratory studies, while questionnaires and scales are preferred in working places. Future directions may be oriented towards multi-domain approaches able to exploit the potential of combined analyses, exploitation of instrumental approaches in workplace, targeting a wider range of people and implementing more structured trials to translate pilot studies to real practice.

20 April 2018 in Medical Engineering & Physics
Verified
Journal Article
Closed access
Alessandro ScanoAlessandro Scano
Alessandro Scano
ACAndrea Chiavenna
Andrea Chiavenna
Matteo MalosioMatteo Malosio
Matteo Malosio
LTLorenzo Molinari Tosatti
Lorenzo Molinari Tosatti
FMFranco Molteni
Franco Molteni
Automated procedures for neurological patients' motor evaluation may take advantage of the coupling between clinical scales and motion tracking devices to provide affordable, quantified and reliable assessment to be used in clinics, in surgeries and domestic environment. In this study, 20 post-stroke patients performed frontal reaching movements with their more affected limb, and a physician administered the Reaching Performance Scale (RPS) to assess motor functionality. At the same time, patients' kinematics were recorded with the Kinect V2 sensor. An automated algorithm was developed to compute the RPS based on Kinect V2 tracking data, and visual and Kinect V2 RPS scores were compared. Results showed very high statistical correlation between the automated procedure and the visual administration (Pearson Correlation Coefficient: R = 0.90, p < 0.001). While the number of patients is limited, the automated RPS seems to be successfully applicable to different levels of impairment, from mild to severe.

3 December 2020 in Robotics
Verified
Journal Article
Open access
PDF file
JYJawad Yammine
Jawad Yammine
APAlessio Prini
Alessio Prini
Matteo Lavit NicoraMatteo Lavit Nicora
Matteo Lavit Nicora
TDTito Dinon
Tito Dinon
Hermes GibertiHermes Giberti
Hermes Giberti
Matteo MalosioMatteo Malosio
Matteo Malosio
The patient population needing physical rehabilitation in the upper extremity is constantly increasing. Robotic devices have the potential to address this problem, however most of the rehabilitation robots are technically advanced and mainly designed for clinical use. This paper presents the development of an affordable device for upper-limb neurorehabilitation designed for home use. The device is based on a 2-DOF five-bar parallel kinematic mechanism. The prototype has been designed so that it can be bound on one side of a table with a clamp. A kinematic optimization was performed on the length of the links of the manipulator in order to provide the optimum kinematic behaviour within the desired workspace. The mechanical structure was developed, and a 3D-printed prototype was assembled. The prototype embeds two single-point load cells to measure the force exchanged with the patient. Rehabilitation-specific control algorithms are described and tested. Finally, an experimental procedure is performed in order to validate the accuracy of the position measurements. The assessment confirms an acceptable level of performance with respect to the requirements of the application under analysis.

1 August 2014
Verified
Conference Paper
Closed access
ASAlessandro Scano
Alessandro Scano
CMCaimmi Marco
Caimmi Marco
Matteo MalosioMatteo Malosio
Matteo Malosio
LTLorenzo Molinari Tosatti
Lorenzo Molinari Tosatti
The functional evaluation of the upper-limb can be clinically assessed through the analysis of the kinematics, the dynamics, and measures of motor control. Such measures are usually obtained in a clinical environment with commercial stereoscopic 3D devices that allow to sample kinematics at high frequency and with high accuracy and precision, but that are, on the other hand, expensive, time consuming, and, most of all, are not portable. Consequently, such assessments are available only in clinics. With the aim of developing applications for neurological patients movement analysis in home environment, an experimental study has been conducted to compare the performances of a passive-marker motion capture system with the Kinect. Data were acquired simultaneously with the two systems during reaching against gravity movements. Results suggest that Kinect may be a valid tool for studying reaching against gravity and assessing upper-limb functionality at home in neurological patients.

8 August 2022 in PLOS ONE
Verified
Journal Article
Open access
PDF file
ACAdriana Cancrini
Adriana Cancrini
PBPaolo Baitelli
Paolo Baitelli
MNMatteo Lavit Nicora
Matteo Lavit Nicora
Matteo MalosioMatteo Malosio
Matteo Malosio
Alessandra PedrocchiAlessandra Pedrocchi
Alessandra Pedrocchi
Alessandro ScanoAlessandro Scano
Alessandro Scano
Background: Robotic rehabilitation is a commonly adopted technique used to restore motor functionality of neurological patients. However, despite promising results were achieved, the effects of human-robot interaction on human motor control and the recovery mechanisms induced with robot assistance can be further investigated even on healthy subjects before translating to clinical practice. In this study, we adopt a standard paradigm for upper-limb rehabilitation (a planar device with assistive control) with linear and challenging curvilinear trajectories to investigate the effect of the assistance in human-robot interaction in healthy people. Methods: Ten healthy subjects were instructed to perform a large set of radial and curvilinear movements in two interaction modes: 1) free movement (subjects hold the robot handle with no assistance) and 2) assisted movement (with a force tunnel assistance paradigm). Kinematics and EMGs from representative upper-limb muscles were recorded to extract phasic muscle synergies. The free and assisted interaction modes were compared assessing the level of assistance, error, and muscle synergy comparison between the two interaction modes. Results: It was found that in free movement error magnitude is higher than with assistance, proving that task complexity required assistance also on healthy controls. Moreover, curvilinear tasks require more assistance than standard radial paths and error is higher. Interestingly, while assistance improved task performance, we found only a slight modification of phasic synergies when comparing assisted and free movement. Conclusions: We found that on healthy people, the effect of assistance was significant on task performance, but limited on muscle synergies. The findings of this study can find applications for assessing human-robot interaction and to design training to maximize motor recovery.