Actively Recruiting

Age: 18Years +
All Genders
Healthy Volunteers
ID06219200

Automatic Voice Analysis for Dysphagia Screening in Neurological Patients

Led by Istituti Clinici Scientifici Maugeri SpA · Updated on 2025-02-20

400

Participants Needed

2

Research Sites

N/A

Total Duration

On this page

Sponsors

I

Istituti Clinici Scientifici Maugeri SpA

Lead Sponsor

P

Politecnico di Milano

Collaborating Sponsor

AI-Summary

What this Trial Is About

This research aims to develop a screening tool for oropharyngeal dysphagia, a swallowing disorder common in neurological patients such as those with Parkinson's disease, stroke, or amyotrophic lateral sclerosis. Dysphagia can lead to serious complications like malnutrition, dehydration, and pneumonia, increasing hospital stays and healthcare costs. Currently, there are no fast and effective screening methods available outside specialized clinical settings. Participants in this study perform various voice tasks during a single session, including sustained phonation, rapid syllable repetition, standardized sentences, and free speech. The recorded voice signals are analyzed using machine learning algorithms to identify changes related to swallowing difficulties. The study includes patients with neurological disorders both with and without dysphagia, as well as healthy individuals, to help develop the classification algorithm. During the study visit, participants provide voice recordings and clinical and medical history information. Researchers use these data to extract acoustic features for the machine learning model. The main goal is to create an algorithm that can quickly and non-invasively screen for swallowing disorders in neurological patients. The study is observational and involves a single recording session with no additional treatments or interventions.

CONDITIONS

Brief Title

Automatic Voice Analysis for Dysphagia Screening in Neurological Patients

Who Can Participate

Age: 18Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients with a diagnosis of stroke, Parkinson's disease, or amyotrophic lateral sclerosis, or healthy individuals.
  • Age higher than 18 years old.
Not Eligible

You will not qualify if you...

  • Cognitive impairment that do not allow participants to understand the requested vocal tasks.
  • Ear, nose,throat diseases and other disorders able to affect voice quality.

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - 1 day

Participants perform vocal tasks including sustained phonation, diadochokinetic tasks, standardized sentences, and free speech to collect voice recordings for analysis.

1 experimental session (in-person)

Long-term Monitoring

Duration - Up to study completion in December 2025

Voice recordings are automatically processed to develop a machine learning classification algorithm for dysphagia screening in neurological patients.

No additional participant visits; data analysis only

Trial Site Locations

Total: 2 locations

1

Istituti Clinici Scientifici Maugeri

Lissone, Lombardy, Italy

Actively Recruiting

2

Istituti Clinici Scientifici Maugeri

Milan, Lombardy, Italy

Actively Recruiting

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Research Team

B

Beatrice De Maria, PhD

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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