Daniela Cardone

Associate Professor

University of Chieti-Pescara

Italy

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About

Daniela Cardone is an Associate Professor at the University of Chieti-Pescara, Italy. Her research interests encompass machine learning applications in rehabilitation, sleep quality prediction, and health diagnostics through innovative methods such as thermal imaging and biofeedback. Recent publications highlight her work on the effects of robotic rehabilitation in stroke recovery and the assessment of voice disorders using advanced analytical techniques.

Articles (10)

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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

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2023

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2023

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2023

Collaborators (10)

David Perpetuini

University of Chieti-Pescara

ITALY

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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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Paolo Castiglioni

Associate professor

Università degli Studi di Roma La Sapienza

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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Raffaello Pellegrino

SWITZERLAND

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Nicola Mammarella

Full Prof.

University of Chieti-Pescara

ITALY

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Rocco Palumbo

Associate Professor

University of Chieti-Pescara

ITALY

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Angelo Di Iorio

Professore Associato

University of Chieti-Pescara

ITALY

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Daniela Cardone

Research Interests

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About

Articles (10)

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

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

Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones

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

Preliminary Findings on the Use of Infrared Thermal Imaging for the Detection of Reactive Hyperemia in the Upper Limb on Vasculopathic Patients

Facial functional networks during resting state revealed by thermal infrared imaging

Identification of Thyroid Papillary Carcinoma and Adenoma through Thermal Imaging: Preliminary Results

Collaborators (10)

David Perpetuini

PASCAL IZZICUPO

Michele Giuseppe Di Cesare

Paolo Castiglioni

Angela Di Baldassarre

Michele Tritto

Raffaello Pellegrino

Nicola Mammarella

Rocco Palumbo

Angelo Di Iorio

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