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

Sponsor
Nuria Máximo-Bocanegra (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05385328
Collaborator
AlcaládeHenaresU (Other)
50
19

Study Details

Study Description

Brief Summary

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.

Condition or Disease Intervention/Treatment Phase
  • Device: EYEFUL: healthy people
  • Device: EYEFUL: people with pathology

Detailed 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.

Study Design

Study Type:
Observational
Anticipated Enrollment :
50 participants
Observational Model:
Case-Control
Time Perspective:
Cross-Sectional
Official Title:
Multisensorial Analysis of Human Activity for Diagnosis and Early Detection of Functional Limitations (EYEFUL)
Anticipated Study Start Date :
Jun 1, 2022
Anticipated Primary Completion Date :
Oct 31, 2023
Anticipated Study Completion Date :
Jan 1, 2024

Arms and Interventions

Arm Intervention/Treatment
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.

Device: 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.

Device: 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.

Outcome Measures

Primary Outcome Measures

  1. Physical measures [Frist year]

    These measures of the subject's physical condition shall be monitored while the subject is performing the assessment activities. This measure is heart rate measured in beats per minute.

  2. Physical measures 2 [Frist year]

    These measures of the subject's physical condition shall be monitored while the subject is performing the assessment activities. This measure is oxygen saturation expressed as a percentage.

  3. Accelerometry [Frist year]

    Accelerometers will be used to measure energy expenditure expressed in METs.

  4. Accelerometry 2 [Frist year]

    Accelerometers will be used to measure walking speed in metres per second.

  5. Accelerometry 3 [Frist year]

    Accelerometers will be used to measure displacement or distance travelled in metres.

  6. Facial expression [second year]

    Collected through the Observed Emotion Rating Scale (OERS), this is an observational measure with 6 types of emotions, 3 positive (pleasure, interest, satisfaction) and three negative (sadness, anxiety and anger). This scale is to be performed after a 10-minute observation. The scores are the observers' estimates of the amounts of time, during the 10-minute interval, that each emotion was exhibited: Never, < 16 sec, 15-59 sec, 1-5 min, > 5 min, and "can't say".

  7. Quality of performance [second year]

    This is assessed using the standardised tool "Assessment of Motor Process Skills (AMPS)". It measures the quality of performance of tasks related to activities of daily living (ADL) in a natural environment. It is a tool designed to measure the interaction between the person, the ADL task and the environment.

  8. Functional ability [second year]

    An assessment questionnaire known as the "Activities of Daily Living Questionnaire (ADLQ)" will be used. It measures a subject's functional ability and performance in 6 areas, which allow for a complete profile of deficits related to daily functioning. The final scores are calculated with a specific formula that provides a percentage of functional impairment from 0 to 100. There are total scores and scores per subscale.

  9. Severity of anxiety and depression [second year]

    The Hamilton Anxiety Rating Score (HARS) is used to measure the severity of anxiety in a global way in subjects with anxiety or depression. In addition, this instrument is useful for monitoring response to treatment. It is a heteroadministered tool and the total score is the sum of each of the items, the range of scores being between 0 and 56.

  10. Self-perception of performance [second year]

    The Canadian Occupational Performance Measure (COPM) is a semi-structured interview that allows for a dialogue between the patient and the assessor, designed to measure the patient's self-perception of performance in daily life. It assesses 3 areas: Self-care, Productivity (or work) and Leisure. Within each area, psychological, physical, socio-cultural and spiritual components are analysed, in addition to the performance and satisfaction linked to the performance of the activities. The total score will be an arithmetic mean for the performance value and another for satisfaction, the range can be from 1 to 10 and higher scores indicate better levels of performance and high satisfaction with performance.

  11. Functional cognitive performance [second year]

    The Kettle Test is a performance test designed to indicate a person's ability to perform everyday tasks. The clinician observes while the subject completes the task, which involves making two hot drinks, one for the assessor and one for the subject. Performance is assessed and scores are based on 13 performance indices. Items are scored from 0 to 4. The score can be as high as 52, with higher scores revealing more severe performance problems.

  12. Cognitive processing [second year]

    The Allen Cognitive Level Screen-5 (ACLS-5) is a measurement instrument established in the theoretical context of the cognitive impairment model, created by Claudia Allen. It is used to obtain rapid information about global cognitive processing capacity, learning potential and performance abilities and to detect unknown or suspected problems related to functional cognition.

  13. Degree of disability and quality of life [second year]

    To measure the degree of disability, the WHO Disability Assessment Scale, WHO-DAS 2.0 (WD2), measures changes in functioning and their levels of difficulty in performing and carrying out daily activities. The WD2 scale is composed of 36 items divided into 6 domains, assessed through a Likert scale with values from 1 to 5, referring to the difficulty presented. Higher scores indicate a greater degree of disability. The total score ranges from 36-180.

  14. Analytical validation [Third year]

    This step moves the evaluation procedure of EYEFUL sensors from the sensor itself (algorithm) to in vivo (evaluates on the person). In this phase, the data converts the sensor measurements into physiological metrics. The sensor measurements are compared with the Gold Standard scales mentioned above. Subsequently, an analysis of the convergent validity of the assessments will be made. Finally Eyeful, could be used to assess functional capabilities in a sample of subjects recruited with pathology to demonstrate that the developed systems acceptably identify, measure or predict functional status or experience in the defined context

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 99 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
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.

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • Nuria Máximo-Bocanegra
  • AlcaládeHenaresU

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Nuria Máximo-Bocanegra, Occupational Therapist Philosophy Doctor (PhD) (team investigator), Universidad Rey Juan Carlos
ClinicalTrials.gov Identifier:
NCT05385328
Other Study ID Numbers:
  • KingJuanCarlosU
First Posted:
May 23, 2022
Last Update Posted:
May 23, 2022
Last Verified:
May 1, 2022
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Nuria Máximo-Bocanegra, Occupational Therapist Philosophy Doctor (PhD) (team investigator), Universidad Rey Juan Carlos
Additional relevant MeSH terms:

Study Results

No Results Posted as of May 23, 2022