A5032138382- Stroke Rehabilitation and Recovery
- Cerebral Palsy and Movement Disorders
- Muscle activation and electromyography studies
- Gait Recognition and Analysis
- Human Pose and Action Recognition
- Balance, Gait, and Falls Prevention
- Video Surveillance and Tracking Methods
- Acute Ischemic Stroke Management
- Prosthetics and Rehabilitation Robotics
- EEG and Brain-Computer Interfaces
- Gaze Tracking and Assistive Technology
- Musculoskeletal pain and rehabilitation
- Botulinum Toxin and Related Neurological Disorders
- Diabetic Foot Ulcer Assessment and Management
- Parkinson's Disease Mechanisms and Treatments
- Advanced Vision and Imaging
- Shoulder Injury and Treatment
- Motor Control and Adaptation
- Neuroscience and Neural Engineering
- Telemedicine and Telehealth Implementation
- 3D Shape Modeling and Analysis
- Transcranial Magnetic Stimulation Studies
- Human-Automation Interaction and Safety
- Action Observation and Synchronization
- Virtual Reality Applications and Impacts
Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele
2017-2025
IRCCS Ospedale San Raffaele
2017-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2020-2025
San Raffaele University of Rome
2020-2025
University of Parma
2020
Foundation for Physical Medicine and Rehabilitation
2020
Ministero della Salute
2020
Roma Tre University
2005-2016
University of Southampton
2007-2009
Given the continuing advances in gait biometrics, it appears prudent to investigate translation of these techniques for forensic use. We address question as confidence that might be given between any two such measurements. use locations ankle, knee, and hip derive a measure match walking subjects image sequences. The Instantaneous Posture Match algorithm, using Harr templates, kinematics, anthropomorphic knowledge is used determine their location. This demonstrated real CCTV recorded at...
We present a new method for viewpoint independent gait biometrics. The system relies on single camera, does not require camera calibration, and works with wide range of views. This is achieved by formulation where the self-calibrating. These properties make proposed particularly suitable identification gait, advantages completely unobtrusiveness, remoteness, covertness biometric preclude availability information specific walking directions. approach has been assessed feature extraction...
Background and objective Multiple sclerosis is an inflammatory neurodegenerative disorder of the central nervous system that can lead to severe motor disability. The aim this study was verify health care effects integrated telerehabilitation approach involving dual-domains (motor cognitive) in people with multiple using a virtual reality rehabilitation compared home-based conventional rehabilitative intervention usual for patient-relevant outcomes (motor, cognitive participation). Methods...
Overground Robot-Assisted Gait Training (o-RAGT) provides intensive gait rehabilitation. This study investigated the efficacy of o-RAGT in subacute stroke subjects, compared to conventional training.
Wearable powered exoskeletons provide intensive overground gait training with patient's active participation: these features promote a successful motor relearning of ambulation in stroke survivors.The aim this study was to investigate the feasibility and clinical effects an exoskeleton-assisted (OEAGT) subacute patients.Prospective, pilot pre-post, open label, non-randomized experimental study.Four Italian neurological rehabilitation centers.Forty-eight patients were enrolled. Two dropped...
People with chronic neurological diseases, such as Parkinson's Disease (PD) and Multiple Sclerosis (MS), often present postural disorders a high risk of falling. When difficulties in achieving outpatient rehabilitation services occur, solution to guarantee the continuity care may be telerehabilitation. This study intends expand scope our previously published research on impact telerehabilitation quality life an MS sample, testing this type intervention larger sample patients also including...
Advance assessment of the potential functional improvement patients undergoing a rehabilitation program is crucial in developing precision medicine tools and patient-oriented programs, as well better allocating resources hospitals. In this work, we propose novel approach to problem using machine learning algorithms focused on assessing modified Barthel index (mBI) an indicator ability. We build four tree-based ensemble models train them private training cohort orthopedic (OP) neurological...
The implementation of regular prolonged, and effective rehabilitation in people with Parkinson's disease is essential for ensuring a good quality life. However, the continuity care may find barriers related to economic, geographic, social issues. In these scenarios, telerehabilitation could be possible solution guarantee care.
Although stroke survivors can benefit from robotic gait rehabilitation, stationary robot-assisted training needs further investigation. In this paper, we investigated the efficacy of approach (with an exoskeleton or end-effector robot) in comparison to conventional overground subacute survivors.In a multicenter controlled clinical trial, 89 conducted twenty sessions (Robotic Group) (Control addition standard daily therapy. The was performed with (RobotEXO-group) (RobotEND-group). Clinical...
Abstract Background The Shoulder and Pain Disability Index (SPADI) is a widely used outcome measure. aim of this study to explore the reliability validity SPADI in sample patients with idiopathic frozen shoulder. Methods was administered 124 A sub-group 29 were retested after 7 days. scores correlated other measures (i.e., Disabilities Arm, Hand Questionnaire – DASH; Numerical Rating Scale—NPRS; 36-item Short Form Health Survey—SF-36) examine construct validity. Structural assessed by...
We present a new method for front-view gait biometrics which uses single non-calibrated camera and extracts unique signatures from descriptors of silhouette's deformation. The proposed approach is particularly suitable identification by in the real world, where advantages completely unobtrusiveness, remoteness covertness biometric system preclude availability information CCTV images usually subjects an upper front-view. Tests on three different databases with walking towards have been...
Background Upper limb recovery is one of the main goals post-stroke rehabilitation due to its importance for autonomy in Activities Daily Living (ADL). Although efficacy upper Robot-assisted Therapy (RT) well established literature, impact initial status patient on effects RT still understudied. This paper aims identify whether demographic, clinical and motor characteristics stroke patients may influence ability independently perform ADL after RT. Methods A retrospective study was conducted...
In this data article, we present a dataset made up of personal, social and clinical records related to patients undergoing rehabilitation program. Data refers registered in the "Acceptance/Discharge Report for area" (ADR) which implements Italian law (DGR 731/2005) refer hospitalization at hospital Rome "San Raffaele" years from 2015 2018 suffering orthopedic neurological pathologies. For each ADR report, status patient date acceptance discharge is reported using, among other, Barthel index...
Objective This study aims to evaluate the feasibility of an integrated multi-domain telerehabilitation (TR) system in stroke patients and observe whether there are changes quality life (QoL) levels undergoing TR treatments. Methods Patients were enrolled for a longitudinal multicentric pilot conducted six Italian research hospitals (IRCCS). The primary outcome was system, assessed by calculating treatment adherence collecting data from Technology Acceptance Model System Usability Scale...
Gait recovery is one of the main goals post-stroke rehabilitation and Robot-Assisted Training (RAGT) has shown positive outcomes. However, there a lack studies in literature comparing effects different devices. This paper aims to study effects, terms clinical gait outcomes, treadmill-based overground RAGT, compared conventional training stroke subjects. The results showed significant improvement outcomes both robotic treatments therapy. performance locomotor tasks was clinically groups only....
End-effector robots allow intensive gait training in stroke subjects and promote a successful rehabilitation. A comparison between conventional end-effector Robot-Assisted Gait Training (RAGT) subacute patients is needed.To investigate the efficacy of RAGT patients.Twenty-six were divided into two group: 14 performed (RG); 12 (CG). Clinical assessment analysis at beginning (T0) end (T1) rehabilitation.The RG revealed significant improvement body function, activities, participation scales,...
Background . Upper limb robot-assisted therapy (RT) provides intensive, repetitive, and task-specific treatment, its efficacy for stroke survivors is well established in literature. Biomechanical data from robotic devices has been widely employed patient’s assessment, but rarely it analysed tracking patient progress during RT. The goal of this retrospective study to analyse built-in kinematic registered by a planar end-effector robot assessing the time course motor recovery workspace...
Background: In 2020, the world was surprised by spread and mass contamination of new Coronavirus (COVID-19). COVID-19 produces symptoms ranging from a common cold to severe that can lead death. Several strategies have been implemented improve well-being patients during their hospitalization, virtual reality (VR) has used. However, whether hospitalized for benefit this intervention remains unclear. Therefore, study aimed investigate VR contributes control pain symptoms, sensation dyspnea,...