Alessandro Mengarelli

Assistant Professor

Università Politecnica delle Marche

Italy

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Alessandro Mengarelli is an Assistant Professor at the Università Politecnica delle Marche Facoltà di Ingegneria in Italy. His research focuses on myoelectric signal processing, human motion analysis, and the application of machine learning in assistive technologies. Recent articles co-authored by him explore innovative methods for enhancing prosthetic control and gait phase recognition, as well as the use of wearable devices for health monitoring.

Articles (24)

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2025

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2020

Collaborators (7)

Paolo Crippa

Associate Professor

Università Politecnica delle Marche

ITALY

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Ennio Gambi

Università Politecnica delle Marche

ITALY

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Grazia Iadarola

Università Politecnica delle Marche

ITALY

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Andrea Tigrini

Assistant Professor

Marche Polytechnic University

ITALY

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Micaela Morettini

Università Politecnica delle Marche

ITALY

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Gursel Alici

University of Wollongong

AUSTRALIA

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Simone Ranaldi

Assistant Professor

Roma Tre University

ITALY

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Alessandro Mengarelli

Research Interests

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About

Articles (24)

Myoelectric and Inertial Data Fusion Through a Novel Attention-Based Spatiotemporal Feature Extraction for Transhumeral Prosthetic Control: An Offline Analysis

MyoPose: position-limb-robust neuromechanical features for enhanced hand gesture recognition in colocated sEMG-pFMG armbands

Novel gait phases recognition framework leveraging the temporal structure of the myoelectric activity

Sensors and Devices Based on Electrochemical Skin Conductance and Bioimpedance Measurements for the Screening of Diabetic Foot Syndrome: Review and Meta-Analysis

Data Processing and Machine Learning for Assistive and Rehabilitation Technologies

Inertial Sensing for Human Motion Analysis: Enabling Sensor-to-Body Calibration Through an Anatomical and Functional Combined Approach

Novel Physics-Informed Bayesian Fusion Post-Processor for Enhanced Gait Phase Recognition Using Surface Electromyography

Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition

Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition

A Computer-Aided Screening Solution for the Identification of Diabetic Neuropathy From Standing Balance by Leveraging Multi-Domain Features

A Minimal and Multi-Source Recording Setup for Ankle Joint Kinematics Estimation During Walking Using Only Proximal Information From Lower Limb

Myoelectric-Based Estimation of Vertical Ground Reaction Force During Unconstrained Walking by a Stacked One-Dimensional Convolutional Long Short-Term Memory Model

A Review on Assisted Living Using Wearable Devices

Decoding transient sEMG data for intent motion recognition in transhumeral amputees

Handwritten Digits Recognition From sEMG: Electrodes Location and Feature Selection

Multiscale Fuzzy Entropy Analysis of Balance: Evidences of Scale-Dependent Dynamics on Diabetic Patients With and Without Neuropathy

On the Decoding of Shoulder Joint Intent of Motion From Transient EMG: Feature Evaluation and Classification

Identification of Neurodegenerative Diseases From Gait Rhythm Through Time Domain and Time-Dependent Spectral Descriptors

Long term correlation and inhomogeneity of the inverted pendulum sway time-series under the intermittent control paradigm

Can the Nintendo WII Balance Board be Used for a Reliable Assessment of the Initiation of Gait?

Center of pressure plausibility for the double-link human stance model under the intermittent control paradigm

Shoulder Motion Intention Detection Through Myoelectric Pattern Recognition

Improving EMG Signal Change Point Detection for Low SNR by Using Extended Teager-Kaiser Energy Operator

On the Use of Fuzzy and Permutation Entropy in Hand Gesture Characterization from EMG Signals: Parameters Selection and Comparison

Collaborators (7)

Paolo Crippa

Ennio Gambi

Grazia Iadarola

Andrea Tigrini

Micaela Morettini

Gursel Alici

Simone Ranaldi

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