Multisensorial Analysis of Human Activity for Diagnosis and Early Detection of Functional Limitations
NCT ID: NCT05385328
Last Updated: 2023-11-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
50 participants
OBSERVATIONAL
2022-11-01
2024-08-31
Brief Summary
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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.
Detailed Description
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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.
Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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Healthy people
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.
EYEFUL: healthy people
This kind of study implies that we do not require the use of any substance, medicine or therapeutic technique and neither imply any risk to the participants.
The data to be captured are exclusively video and audio recordings, and different signals from smart watches (mainly related to movement). Addittionaly, the clinical evaluation of the performance of these activities will be carried out according to the assessment scales to be defined in the project. The results of this evaluation will be exclusively used in the training of the automatic systems developed in the project and in order to establish a correlation between the captured observations (video, audio, smart watches signals) and the diagnostic assessment.
people with physical or psychological diagnoses
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.
EYEFUL: people with pathology
This kind of study implies that we do not require the use of any substance, medicine or therapeutic technique and neither imply any risk to the participants.
The data to be captured are exclusively video and audio recordings, and different signals from smart watches (mainly related to movement). Addittionaly, the clinical evaluation of the performance of these activities will be carried out according to the assessment scales to be defined in the project. The results of this evaluation will be exclusively used in the training of the automatic systems developed in the project and in order to establish a correlation between the captured observations (video, audio, smart watches signals) and the diagnostic assessment.
Interventions
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EYEFUL: healthy people
This kind of study implies that we do not require the use of any substance, medicine or therapeutic technique and neither imply any risk to the participants.
The data to be captured are exclusively video and audio recordings, and different signals from smart watches (mainly related to movement). Addittionaly, the clinical evaluation of the performance of these activities will be carried out according to the assessment scales to be defined in the project. The results of this evaluation will be exclusively used in the training of the automatic systems developed in the project and in order to establish a correlation between the captured observations (video, audio, smart watches signals) and the diagnostic assessment.
EYEFUL: people with pathology
This kind of study implies that we do not require the use of any substance, medicine or therapeutic technique and neither imply any risk to the participants.
The data to be captured are exclusively video and audio recordings, and different signals from smart watches (mainly related to movement). Addittionaly, the clinical evaluation of the performance of these activities will be carried out according to the assessment scales to be defined in the project. The results of this evaluation will be exclusively used in the training of the automatic systems developed in the project and in order to establish a correlation between the captured observations (video, audio, smart watches signals) and the diagnostic assessment.
Eligibility Criteria
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Inclusion Criteria
* Degree of disability (percentage from 0-90%, where 100% reflects the maximum disability)
* over 18 years of age.
Exclusion Criteria
* 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.
18 Years
99 Years
ALL
Yes
Sponsors
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AlcaládeHenaresU
UNKNOWN
Nuria Máximo-Bocanegra
OTHER
Responsible Party
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Nuria Máximo-Bocanegra
Occupational Therapist Philosophy Doctor (PhD) (team investigator)
Locations
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Facultad Ciencias de la Salud. Universidad Rey Juan Carlos
Madrid, Alcorcón, Spain
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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KingJuanCarlosU
Identifier Type: -
Identifier Source: org_study_id