Smart Hallway for Gait Assessment
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Amputation
- Sponsor
- University Rehabilitation Institute, Republic of Slovenia
- Enrollment
- 100
- Locations
- 1
- Primary Endpoint
- Smart Hallway
- Status
- Recruiting
- Last Updated
- last year
Overview
Brief Summary
The aim of the study is to examine suitability of data and processed reports acquired from the Smart Hallway system for clinical settings in terms of user acceptability and accuracy for use in clinical practice.
Detailed Description
The goal of the study is to use off-the-shelves markerless and contactless technologies and automatically digitise the person's movements as they walk through an institutional hallway. Multi-camera-based technologies can merge 2D-video into 3D-information. With an appropriate software, one can acquire data, perform the kinematic calculations and generate a report, all with minimal or no human intervention. The specific research question are whether pathological gait or walking disorders of the patients can be identified and classified based on the system's output, whether signs of depression can be classified from the the system's output, and whether the results of the 6-minute walk test can be predicted from the the system's output.
Investigators
Eligibility Criteria
Inclusion Criteria
- •ability to walk at least 10 metres without help of a person,
- •no severe cognitive problems (able to answer questionnaires),
- •native Slovenian speakers,
- •wiling to participate (signed informed consent)
Exclusion Criteria
- •severe cognitive impairment,
- •not being able to walk with or without a prosthesis or orthosis.
Outcomes
Primary Outcomes
Smart Hallway
Time Frame: Upon admission to rehabilitation
As part of the regular clinical examination, the patients walk straight through a 7m long walkway, turn, and come back while data is collected with the Smart Hallway system. They start walking one meter outside the capture volume. The procedure is repeated five times to provide a sufficient number of walking cycles. Three-dimensional temporospatial gait features (position, joint angles, velocities, accelerations) are extracted from the acquired data.
Falls during rehabilitation
Time Frame: Upon discharge from rehabilitation
Data on falls during rehabilitation is routinely collected and entered in the hospital information system (HIS). It will be transferred from the HIS to the study database upon the patient's discharge.
Secondary Outcomes
- World Health Organisation Disability Assessment Schedule(Upon admission to rehabilitation)
- Activity Specific Balance Confidence Scale(Upon admission to rehabilitation)
- Hospital Anxiety and Depression Scale(Upon admission to rehabilitation)
- Six-minute walk test(Upon admission to rehabilitation)