Matteo Laffranchi

Matteo Laffranchi


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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30 September 2020 in Science Robotics
Verified
Journal Article
Closed access
Matteo LaffranchiMatteo Laffranchi
Matteo Laffranchi
NBN. Boccardo
N. Boccardo
STS. Traverso
S. Traverso
LLL. Lombardi
L. Lombardi
MCMichele Canepa
Michele Canepa
LML. De Michieli
L. De Michieli
A prosthetic hand with human-like grasping behavior outperforms what is required in the execution of activities of daily living.

7 May 2022 in Journal of NeuroEngineering and Rehabilitation
Verified
Journal Article
Open access
PDF file
ACAndrea Cimolato
Andrea Cimolato
JDJosephus J. M. Driessen
Josephus J. M. Driessen
Leonardo S. MattosLeonardo S. Mattos
Leonardo S. Mattos
EMElena De Momi
Elena De Momi
Matteo LaffranchiMatteo Laffranchi
Matteo Laffranchi
LMLorenzo De Michieli
Lorenzo De Michieli
Background: The inability of users to directly and intuitively control their state-of-the-art commercial prosthesis contributes to a low device acceptance rate. Since Electromyography (EMG)-based control has the potential to address those inabilities, research has flourished on investigating its incorporation in microprocessor-controlled lower limb prostheses (MLLPs). However, despite the proposed benefits of doing so, there is no clear explanation regarding the absence of a commercial product, in contrast to their upper limb counterparts.Objective and methodologies: This manuscript aims to provide a comparative overview of EMG-driven control methods for MLLPs, to identify their prospects and limitations, and to formulate suggestions on future research and development. This is done by systematically reviewing academical studies on EMG MLLPs. In particular, this review is structured by considering four major topics: (1) type of neuro-control, which discusses methods that allow the nervous system to control prosthetic devices through the muscles; (2) type of EMG-driven controllers, which defines the different classes of EMG controllers proposed in the literature; (3) type of neural input and processing, which describes how EMG-driven controllers are implemented; (4) type of performance assessment, which reports the performance of the current state of the art controllers.Results and conclusions: The obtained results show that the lack of quantitative and standardized measures hinders the possibility to analytically compare the performances of different EMG-driven controllers. In relation to this issue, the real efficacy of EMG-driven controllers for MLLPs have yet to be validated. Nevertheless, in anticipation of the development of a standardized approach for validating EMG MLLPs, the literature suggests that combining multiple neuro-controller types has the potential to develop a more seamless and reliable EMG-driven control. This solution has the promise to retain the high performance of the currently employed non-EMG-driven controllers for rhythmic activities such as walking, whilst improving the performance of volitional activities such as task switching or non-repetitive movements. Although EMG-driven controllers suffer from many drawbacks, such as high sensitivity to noise, recent progress in invasive neural interfaces for prosthetic control (bionics) will allow to build a more reliable connection between the user and the MLLPs. Therefore, advancements in powered MLLPs with integrated EMG-driven control have the potential to strongly reduce the effects of psychosomatic conditions and musculoskeletal degenerative pathologies that are currently affecting lower limb amputees.

5 August 2019 in Applied Sciences
Verified
Journal Article
Open access
PDF file
RIRiccardo Iandolo
Riccardo Iandolo
FMFrancesca Marini
Francesca Marini
Marianna SempriniMarianna Semprini
Marianna Semprini
Matteo LaffranchiMatteo Laffranchi
Matteo Laffranchi
MMMaddalena Mugnosso
Maddalena Mugnosso
JZJacopo Zenzeri
Jacopo Zenzeri
The development of robotic devices for rehabilitation is a fast-growing field. Nowadays, thanks to novel technologies that have improved robots’ capabilities and offered more cost-effective solutions, robotic devices are increasingly being employed during clinical practice, with the goal of boosting patients’ recovery. Robotic rehabilitation is also widely used in the context of neurological disorders, where it is often provided in a variety of different fashions, depending on the specific function to be restored. Indeed, the effect of robot-aided neurorehabilitation can be maximized when used in combination with a proper training regimen (based on motor control paradigms) or with non-invasive brain machine interfaces. Therapy-induced changes in neural activity and behavioral performance, which may suggest underlying changes in neural plasticity, can be quantified by multimodal assessments of both sensorimotor performance and brain/muscular activity pre/post or during intervention. Here, we provide an overview of the most common robotic devices for upper and lower limb rehabilitation and we describe the aforementioned neurorehabilitation scenarios. We also review assessment techniques for the evaluation of robotic therapy. Additional exploitation of these research areas will highlight the crucial contribution of rehabilitation robotics for promoting recovery and answering questions about reorganization of brain functions in response to disease.

11 November 2021 in Wearable Technologies
Verified
Journal Article
Open access
PDF file
Jan BabicJan Babic
Jan Babic
Matteo LaffranchiMatteo Laffranchi
Matteo Laffranchi
FTFederico Tessari
Federico Tessari
TVTom Verstraten
Tom Verstraten
DNDomen Novak
Domen Novak
JVJan F. Veneman
Jan F. Veneman
The science and technology of wearable robots are steadily advancing, and the use of such robots in our everyday life appears to be within reach. Nevertheless, widespread adoption of wearable robots should not be taken for granted, especially since many recent attempts to bring them to real-life applications resulted in mixed outcomes. The aim of this article is to address the current challenges that are limiting the application and wider adoption of wearable robots that are typically worn over the human body. We categorized the challenges into mechanical layout, actuation, sensing, body interface, control, human–robot interfacing and coadaptation, and benchmarking. For each category, we discuss specific challenges and the rationale for why solving them is important, followed by an overview of relevant recent works. We conclude with an opinion that summarizes possible solutions that could contribute to the wider adoption of wearable robots.

1 December 2014 in Robotics and Autonomous Systems
Verified
Journal Article
Closed access
Matteo LaffranchiMatteo Laffranchi
Matteo Laffranchi
LCLisha Chen
Lisha Chen
NKNavvab Kashiri
Navvab Kashiri
Jinoh LeeJinoh Lee
Jinoh Lee
NTNikos G. Tsagarakis
Nikos G. Tsagarakis
Darwin G. CaldwellDarwin G. Caldwell
Darwin G. Caldwell

7 October 2021 in Frontiers in Neurorobotics
Verified
Journal Article
Open access
Matteo LaffranchiMatteo Laffranchi
Matteo Laffranchi
SDStefano D'ANgella
Stefano D'ANgella
CVChristian Vassallo
Christian Vassallo
CPChiara Piezzo
Chiara Piezzo
MCMichele Canepa
Michele Canepa
LMLorenzo De Michieli
Lorenzo De Michieli
For decades, powered exoskeletons have been considered for possible employment in rehabilitation and personal use. Yet, these devices are still far from addressing the needs of users. Here, we introduce TWIN, a novel modular lower limb exoskeleton for personal use of spinal-cord injury (SCI) subjects. This system was designed according to a set of user requirements (lightweight and autonomous portability, quick and autonomous donning and setup, stability when standing/walking, cost effectiveness, long battery life, comfort, safety) which emerged during participatory investigations that organically involved patients, engineers, designers, physiatrists, and physical therapists from two major rehabilitation centers in Italy. As a result of this user-centered process, TWIN's design is based on a variety of small mechatronic modules which are meant to be easily assembled and donned on or off by the user in full autonomy. This paper presents the development of TWIN, an exoskeleton for personal use of SCI users, and the application of user-centered design methods that are typically adopted in medical device industry, for its development. We can state that this approach revealed to be extremely effective and insightful to direct and continuously adapt design goals and activities toward the addressment of user needs, which led to the development of an exoskeleton with modular mechatronics and novel lateral quick release systems. Additionally, this work includes the preliminary assessment of this exoskeleton, which involved healthy volunteers and a complete SCI patient. Tests validated the mechatronics of TWIN and emphasized its high potential in terms of system usability for its intended use. These tests followed procedures defined in existing standards in usability engineering and were part of the formative evaluation of TWIN as a premise to the summative evaluation of its usability as medical device.