Multisensorial Analysis of Human Activity for Diagnosis and Early Detection of Functional Limitations (EYEFUL)

Nuria Máximo-Bocanegra

Status: Enrolling

Conditions: Mental Disability; Fetal Alcohol Syndrome; Handicaps Physical

Treatments: Device: EYEFUL: people with pathology; Device: EYEFUL: healthy people

Study type: Observational

Funder types: Other

Identifiers

NCT05385328

KingJuanCarlosU

Details and patient eligibility

About

Physical and cognitive changes provoked by a pathology worsen the functional capability of the individual making it more difficult to perform Activities of Daily Living (ADLs) and causing dependency and/or disability. There are standardized observational tests for the clinical assessment of the degree of functional limitation in basic or instrumental ADLs (e.g., Assessment Motor and Process Skills - AMPS). On the other hand, all these tests bear the problem of the subjectivity of the evaluator in the analysis. The presence of the evaluator in the test may have an influence in the way a subject performs ADLs.

The goal of the project is to develop a methodology to design, implement and validate automatic clinical tests of functional limitation, that: 1) give objective assessments with clinical validity, and 2) remove the interference in the test execution caused by the physical presence of the evaluator.

Full description

Physical and cognitive changes provoked by a pathology worsen the functional capability of the individual making it more difficult to perform Activities of Daily Living (ADLs) and causing dependency and/or disability. There are standardized observational tests for the clinical assessment of the degree of functional limitation in basic or instrumental ADLs (e.g., Assessment Motor and Process Skills - AMPS). On the other hand, all these tests bear the problem of the subjectivity of the evaluator in the analysis. The presence of the evaluator in the test may have an influence in the way a subject performs ADLs.

The goal of the project is to develop a methodology to design, implement and validate automatic clinical tests of functional limitation, that: 1) give objective assessments with clinical validity, and 2) remove the interference in the test execution caused by the physical presence of the evaluator. The human evaluator subjectivity will be replaced with an automatic system that extracts multimodal (i.e., multisensorial) information from the environment during the user functional assessment. Specifically including audio, video and depth sensors and the information collected from wearable sensors that the subject under test may carry. The objective assessment will also provide clues that, given the subject clinical history, can be used for early detection of limitations.

This problem has not been systematically addressed in the literature. The project is thus a first solution of the development and clinical validation of an automated system that allows an objective evaluation of observational tests. Tackling the clinical assessment of functional limitations will be then performed in an adapted real environment (equipped with the adequate electronic sensors) in the URJC facilities.

The EYEFUL-URJC subproject has a key role in the methodological design and clinical validation of the automatic evaluation tools. They will also carry out the actual tests over normal subjects and patients comparing the output of the current tools, as AMPS, with the output of the assessment tools developed for the project. In order to extract relevant features from video, depth, audio and other sensors, the project leverages the research experience on automatic sensing of human activities in intelligent spaces of EYEFUL-UPM and EYEFUL-UAH. The EYEFUL-UPM subproject concentrates in the analysis of the subject face, head pose, gaze, and accurate 3D alignment of the facial landmarks, that enable the estimation facial attributes useful for different tests (i.e., focus of attention, presence of pain, confusion, fear, etc.). The EYEFUL-UAH subproject concentrates the analysis on the user whole body activity and her/his interaction with objects, with depth and video sensors, and integrating also audio and wearables' data to automatically assess the functional capability of the evaluated persons. The three coordinated groups approach the project in an interdisciplinary way, with strong feedback requirements among them all along the development. This close interaction is fundamental to ensure the adequate focus of the technical developments given the strict clinical requirements of the task.

Enrollment: 50 estimated patients

Sex: All

Ages: 18 to 99 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• People with a Certificate of Disability from the Ministry of Health, Consumer Affairs and Welfare.
• Degree of disability (percentage from 0-90%, where 100% reflects the maximum disability)
• over 18 years of age.

Exclusion criteria

• Inability to follow-2-step commands.
• If participant is unwilling to travel for assessment.
• Currently in treatment with: Psychotropics, Antipsychotics and/or Benzodiazepines.
• People with a Certificate of Disability from the Ministry of Health, Consumer Affairs and Welfare.
• Degree of disability (percentage of 90-100%, where 100% reflects the maximum disability)
• Refusal to sign the informed consent form.

Trial design

50 participants in 2 patient groups

Healthy people

Description:

Undiagnosed persons will be evaluated by the EYEFUL system performing activities of daily living. Patterns of action will be recorded, to establish outcome measures in healthy population.

Treatment:

Device: EYEFUL: healthy people

people with physical or psychological diagnoses

Description:

People with various clinical diagnoses will be evaluated by the EYEFUL system performing activities of daily living. Patterns of action will be recorded, in order to establish outcome measures in comparison with healthy population and with other diagnoses.

Treatment:

Device: EYEFUL: people with pathology