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Development of an Artificial Intelligence solution for remote movement correction for Physical Rehabilitation

Development and validation of an Artificial Intelligence-based solution for remote motion detection and correction of exercises for Motor Rehabilitation

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
REBEC
Registry ID
RBR-8ymy2sw
Enrollment
Unknown
Registered
2022-08-24
Start date
2022-08-01
Completion date
Unknown
Last updated
2025-10-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Musculoskeletal Pain

Interventions

This is an experimental study without comparison groups, therefore not randomized. The Artificial Intelligence creation and validation process for the detection and correction of movements at a distan
E02.760.169.063.500.387

Sponsors

Hospital Israelita Albert Einstein
Lead Sponsor
LinkFit
Collaborator

Eligibility

Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Healthy volunteers; over the age of 18; of both sexes; high school education or higher; time of injury and pain greater than six months; and who have been elected for conservative treatment

Exclusion criteria

Exclusion criteria: Volunteers with sensory motor; cognitive; visual and or auditory deficits; presence of neurological and or psychiatric comorbidities; previous or recent surgeries in the segments mentioned above for study; other pain syndromes; discharge after conventional physical rehabilitation program in a period less than two months

Design outcomes

Primary

MeasureTime frame
It is expected that this research project can contribute to the development and validation of an AI-based application capable of detecting and correcting movements at a distance of patients who need motor rehabilitation. For this, we will use the following indicators as an outcome: sensitivity, specificity (ROC curve), false positives and false negatives.

Secondary

MeasureTime frame
Secondary outcomes are not expected.

Countries

Brazil

Contacts

Public ContactCarla Moussalli

LinkFit

eretz.bio@einstein.br+55(016) 5643-9726

Outcome results

None listed

Source: REBEC (via WHO ICTRP)