David Perpetuini

University of Chieti-Pescara

Italy

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Articles (10)

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

Collaborators (17)

PASCAL IZZICUPO

Associate Professor

University of Chieti-Pescara

ITALY

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Michele Giuseppe Di Cesare

University of Chieti-Pescara

ITALY

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Oluwasanmi Koyejo

Assistant Professor

Stanford University

UNITED STATES

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Paolo Castiglioni

Associate professor

Università degli Studi di Roma La Sapienza

ITALY

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Antonio Maria Chiarelli

Assistant Professor

Università degli Studi Gabriele d'Annunzio Chieti e Pescara

ITALY

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Angela Di Baldassarre

Head, Reprogramming and Cell Differentiation Laboratory Center for Advanced Studies and Technology

University of Chieti-Pescara

ITALY

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Michele Tritto

Chief Scientific Officer

Next Tuna GmbH

ITALY

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Gabriele Gratton

Professor

University of Illinois at Urbana-Champaign

UNITED STATES

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Raffaello Pellegrino

SWITZERLAND

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Nicola Mammarella

Full Prof.

University of Chieti-Pescara

ITALY

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Karl Bertling

Senior Lecturer

University of Queensland

AUSTRALIA

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Aleksandar D. Rakić

University of Queensland

AUSTRALIA

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Monica Fabiani

University of Illinois at Urbana-Champaign

UNITED STATES

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Daniela Cardone

Associate Professor

University of Chieti-Pescara

ITALY

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Rocco Palumbo

Associate Professor

University of Chieti-Pescara

ITALY

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Lien Smeesters

Vrije Universiteit Brussel

BELGIUM

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Angelo Di Iorio

Professore Associato

University of Chieti-Pescara

ITALY

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David Perpetuini

Research Interests

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Articles (10)

2025 photonics for agrifood roadmap: towards a sustainable and healthier planet

Acute and Subacute Effects of Session with the EXOPULSE Mollii Suit in a Multiple Sclerosis Patient: A Case Report

Preliminary Insights into Thermography-Based Psychophysiological Monitoring of Musicians During Performance

Exploring the Neural Correlates of Visuospatial Memory: A Comprehensive Review of Brain Activity Assessment in Immersive Virtual Reality Research During the Last Decade

Single-Trial Detection and Classification of Event-Related Optical Signals for a Brain–Computer Interface Application

Integrating Machine Learning with Robotic Rehabilitation May Support Prediction of Recovery of the Upper Limb Motor Function in Stroke Survivors

Data-Driven Identification of Stroke through Machine Learning Applied to Complexity Metrics in Multimodal Electromyography and Kinematics

Predicting Sleep Quality through Biofeedback: A Machine Learning Approach Using Heart Rate Variability and Skin Temperature

Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson’s Disease: A Study on Speaker Diarization and Classification Techniques

An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors

Collaborators (17)

PASCAL IZZICUPO

Michele Giuseppe Di Cesare

Oluwasanmi Koyejo

Paolo Castiglioni

Antonio Maria Chiarelli

Angela Di Baldassarre

Michele Tritto

Gabriele Gratton

Raffaello Pellegrino

Nicola Mammarella

Karl Bertling

Aleksandar D. Rakić

Monica Fabiani

Daniela Cardone

Rocco Palumbo

Lien Smeesters

Angelo Di Iorio

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