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Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning

Sensors (Basel, Switzerland), 2021-04, Vol.21 (8), p.2593

2021

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Machine learning to predict mortality after rehabilitation among patients with severe stroke

Scientific reports, 2020-11, Vol.10 (1), p.20127-20127, Article 20127

2020

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Phenomenological models of NaV1.5. A side by side, procedural, hands-on comparison between Hodgkin-Huxley and kinetic formalisms

Scientific reports, 2019-11, Vol.9 (1), p.1-24, Article 17493

2019

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A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2199

2024

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Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment

Sensors (Basel, Switzerland), 2020-11, Vol.20 (22), p.6691

2020

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Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson's Disease

Sensors (Basel, Switzerland), 2022-02, Vol.22 (5), p.1708

2022

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Biomechanical Effects of Using a Passive Exoskeleton for the Upper Limb in Industrial Manufacturing Activities: A Pilot Study

Sensors (Basel, Switzerland), 2024-02, Vol.24 (5), p.1445

2024

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Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages

Scientific reports, 2021-04, Vol.11 (1), p.9297-9297, Article 9297

2021

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Measuring Surface Electromyography with Textile Electrodes in a Smart Leg Sleeve

Sensors (Basel, Switzerland), 2024-05, Vol.24 (9), p.2763

2024

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Gait asymmetry in stroke patients with unilateral spatial neglect

Medical & biological engineering & computing, 2023-03, Vol.61 (3), p.651-659

2023

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Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning

Mathematical biosciences and engineering : MBE, 2021-01, Vol.18 (5), p.6995-7009

2021

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Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning Models

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1056-1063

2023

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Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study

Electronics (Basel), 2022-02, Vol.11 (3), p.448

2022

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A Piezoresistive Array Armband With Reduced Number of Sensors for Hand Gesture Recognition

Frontiers in neurorobotics, 2020-01, Vol.13, p.114-114

2020

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Efficacy of Machine Learning in Predicting the Kind of Delivery by Cardiotocography

XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, p.793-799

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Machine learning models for the prediction of acuity and variability of eye-positioning using features extracted from oculography

Health and technology, 2020-07, Vol.10 (4), p.961-968

2020

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Classifying Different Stages of Parkinson’s Disease Through Random Forests

XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, p.1155-1162

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The E-Textile for Biomedical Applications: A Systematic Review of Literature

Diagnostics (Basel), 2021-12, Vol.11 (12), p.2263

2021

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Subjective Effects of Using a Passive Upper Limb Exoskeleton for Industrial Textile Workers

Safety (Basel), 2024-09, Vol.10 (3), p.59

2024

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Feasibility of Machine Learning in Predicting Features Related to Congenital Nystagmus

XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, p.907-913

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Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA Classes

Bioengineering (Basel), 2021-10, Vol.8 (10), p.138

2021

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Machine learning can predict mild cognitive impairment in Parkinson's disease

Frontiers in neurology, 2022-11, Vol.13, p.1010147-1010147

2022

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Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare

Applied sciences, 2024-07, Vol.14 (14), p.6084

2024

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A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks

Diagnostics (Basel), 2022-10, Vol.12 (11), p.2624

2022

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Potential Biomechanical Overload on Skeletal Muscle Structures in Students During Walk with Backpack

XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, p.262-266

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Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning

Machine learning to predict mortality after rehabilitation among patients with severe stroke

Phenomenological models of NaV1.5. A side by side, procedural, hands-on comparison between Hodgkin-Huxley and kinetic formalisms

A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors

Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment

Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson's Disease

Biomechanical Effects of Using a Passive Exoskeleton for the Upper Limb in Industrial Manufacturing Activities: A Pilot Study

Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages

Measuring Surface Electromyography with Textile Electrodes in a Smart Leg Sleeve

Gait asymmetry in stroke patients with unilateral spatial neglect

Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning

Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning Models

Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study

A Piezoresistive Array Armband With Reduced Number of Sensors for Hand Gesture Recognition

Efficacy of Machine Learning in Predicting the Kind of Delivery by Cardiotocography

Machine learning models for the prediction of acuity and variability of eye-positioning using features extracted from oculography

Classifying Different Stages of Parkinson’s Disease Through Random Forests

The E-Textile for Biomedical Applications: A Systematic Review of Literature

Subjective Effects of Using a Passive Upper Limb Exoskeleton for Industrial Textile Workers

Feasibility of Machine Learning in Predicting Features Related to Congenital Nystagmus

Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA Classes

Machine learning can predict mild cognitive impairment in Parkinson's disease

Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare

A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks

Potential Biomechanical Overload on Skeletal Muscle Structures in Students During Walk with Backpack

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