Validation of acceXible's Automated Speech Analysis Method for the Early Detection and Monitoring of Patients With Mild Impairment or Dementia in Primary Care

Accexible248 enrolled

Overview

Dementia, especially dementia caused by Alzheimer's disease, is considered one of the most severe health problems of our time. It is currently known that the disease begins many years before clinical symptoms appear. The sooner the patient is diagnosed, the sooner the patient will be in a position to prevent further deterioration. A recent orientation is the analysis of language in relation to the description of images with a high and varied semantic and emotional content. It can be studied that changes in the description of an image check if these changes are associated with the evolution of a person with probable impairment both in memory and cognitive as well as emotional, psychiatric, behavioral and even in their interaction with environmental factors especially those associated with socialization and loneliness. Thus, the purpose of this study is to validate speech analysis AI models.

Study Type

INTERVENTIONAL

Allocation

Purpose

DIAGNOSTIC

Masking

NONE

Enrollment

248

Conditions

Mild Cognitive Impairment Dementia

Interventions

Eligibility

Sex: ALLMin age: 55 YearsMax age: 90 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Adult patients 55+ years of age with suspected MCI or diagnosis of dementia and obtains a score greater than 20 on the MMSE. * Patients must have agreed to participate in the study and have voluntarily signed the informed consent. * (Healthy) Participants without a diagnosis neurological, or psychiatric disorders. Or taking medication that can affect cognitive abilities. Exclusion Criteria * To have received a diagnosis of a significant psychiatric disorder or other cognitive impairment not due to neurodegeneration. * To have significant vision problems that would affect the ability to perceive visual stimuli. * To have significant hearing problems that would affect the ability to understand verbal cues.

Outcomes

Primary Outcomes

Vocal biomarkers to assess pre-post variability of normal, MCI and dementia at both point of the study.

Standard deviation of normal subjects, MCI and dementia to measure variations in language by using vocal biomarkers.

Time frame: Change from the baseline cognitive function at 9 months.

Secondary Outcomes

Correlation between standard cognitive test (MMSE) and linguistic variables obtained by vocal biomarkers.

With a 95% confidence interval, the correlation between standard cognitive test (MMSE score) and each of the linguistic variables is quantified.

Time frame: Through study completion, an average of 1 year.