Zobrazeno 1 - 10
of 268
pro vyhledávání: '"Carlo Ricciardi"'
Kinematic and Kinetic Gait Features Associated With Mild Cognitive Impairment in Parkinson’s Disease
Autor:
Michela Russo, Marianna Amboni, Antonio Volzone, Sofia Cuoco, Richard Camicioli, Federico Di Filippo, Paolo Barone, Maria Romano, Francesco Amato, Carlo Ricciardi
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2676-2687 (2024)
Mild cognitive impairment (MCI) and gait deficits are commonly associated with Parkinson’s disease (PD). Early detection of MCI associated with Parkinson’s disease (PD-MCI) and its biomarkers is critical to managing disability in PD patients, red
Externí odkaz:
https://doaj.org/article/fbbd5bac74244787b5a15b9b66b14e96
Autor:
Alessandra Franco, Michela Russo, Marianna Amboni, Alfonso Maria Ponsiglione, Federico Di Filippo, Maria Romano, Francesco Amato, Carlo Ricciardi
Publikováno v:
Sensors, Vol 24, Iss 18, p 5957 (2024)
Parkinson’s disease (PD) is the second most common movement disorder in the world. It is characterized by motor and non-motor symptoms that have a profound impact on the independence and quality of life of people affected by the disease, which incr
Externí odkaz:
https://doaj.org/article/1a2991f6d5204c21af1a00d9b0189192
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Self-organizing memristive nanowire connectomes have been exploited for physical (in materia) implementation of brain-inspired computing paradigms. Despite having been shown that the emergent behavior relies on weight plasticity at single ju
Externí odkaz:
https://doaj.org/article/e7e589dbf1fb466a903f8e295b33a109
Autor:
Giuseppe Cesarelli, Alfonso Maria Ponsiglione, Mario Sansone, Francesco Amato, Leandro Donisi, Carlo Ricciardi
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 790 (2024)
Machine learning (ML) is a field of artificial intelligence that uses algorithms capable of extracting knowledge directly from data that could support decisions in multiple fields of engineering [...]
Externí odkaz:
https://doaj.org/article/df6235261b5645c28225c3991bc3f442
Autor:
Carlo Ricciardi, Marta Rosaria Marino, Teresa Angela Trunfio, Massimo Majolo, Maria Romano, Francesco Amato, Giovanni Improta
Publikováno v:
Frontiers in Digital Health, Vol 5 (2024)
BackgroundRecently, crowding in emergency departments (EDs) has become a recognised critical factor impacting global public healthcare, resulting from both the rising supply/demand mismatch in medical services and the paucity of hospital beds availab
Externí odkaz:
https://doaj.org/article/e10324607fd44b55ae6fa1d42834c506
Autor:
Carlo Ricciardi, Alfonso Maria Ponsiglione, Marco Recenti, Francesco Amato, Magnus Kjartan Gislason, Milan Chang, Paolo Gargiulo
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Introduction: The aging population poses significant challenges to healthcare systems globally, necessitating a comprehensive understanding of age-related changes affecting physical function. Age-related functional decline highlights the urgency of u
Externí odkaz:
https://doaj.org/article/99f462fef6524ccd8b53bed4d024785e
Autor:
Giuseppe Cesarelli, Leandro Donisi, Francesco Amato, Maria Romano, Mario Cesarelli, Giovanni D'Addio, Alfonso M. Ponsiglione, Carlo Ricciardi
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1056-1063 (2023)
While in the literature there is much interest in investigating lower limbs gait of patients affected by neurological diseases, such as Parkinson’s Disease (PD), fewer publications involving upper limbs movements are available. In previous studies,
Externí odkaz:
https://doaj.org/article/79735fcdd87144599fc3150af56f7261
Autor:
Mario Sansone, Roberta Fusco, Francesca Grassi, Gianluca Gatta, Maria Paola Belfiore, Francesca Angelone, Carlo Ricciardi, Alfonso Maria Ponsiglione, Francesco Amato, Roberta Galdiero, Roberta Grassi, Vincenza Granata, Roberto Grassi
Publikováno v:
Current Oncology, Vol 30, Iss 1, Pp 839-853 (2023)
Background: breast cancer (BC) is the world’s most prevalent cancer in the female population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made to set screening campaigns, early detection programs, and increasingly targ
Externí odkaz:
https://doaj.org/article/6756dadbdfda4f1e8d350f78abc800bb
Autor:
Carlo Ricciardi, Noemi Pisani, Leandro Donisi, Filomena Abate, Marianna Amboni, Paolo Barone, Marina Picillo, Mario Cesarelli, Francesco Amato
Publikováno v:
Sensors, Vol 23, Iss 24, p 9859 (2023)
The use of wearable sensors for calculating gait parameters has become increasingly popular as an alternative to optoelectronic systems, currently recognized as the gold standard. The objective of the study was to evaluate the agreement between the w
Externí odkaz:
https://doaj.org/article/77368cb055d24ce0b2015b329e9c8a12
Autor:
Deborah Jacob, Ingunn S. Unnsteinsdóttir Kristensen, Romain Aubonnet, Marco Recenti, Leandro Donisi, Carlo Ricciardi, Halldór Á. R. Svansson, Sólveig Agnarsdóttir, Andrea Colacino, María K. Jónsdóttir, Hafrún Kristjánsdóttir, Helga Á. Sigurjónsdóttir, Mario Cesarelli, Lára Ósk Eggertsdóttir Claessen, Mahmoud Hassan, Hannes Petersen, Paolo Gargiulo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-22 (2022)
Abstract Current diagnosis of concussion relies on self-reported symptoms and medical records rather than objective biomarkers. This work uses a novel measurement setup called BioVRSea to quantify concussion status. The paradigm is based on brain and
Externí odkaz:
https://doaj.org/article/c155d6bf50c74725b0fafdf01db92d6a