Project Details
Description
The COVID-19 pandemic has highlighted the need for innovative healthcare solutions to address long-term postural management challenges in individuals reliant on special seating.
Current postural assessments are resource-intensive, require physical contact, and can be distressing for patients. To address this, we propose a novel smart seating system equipped with low-cost, unobtrusive sensors embedded in seat coverings. These sensors monitor key parameters such as pressure, shear force, temperature, humidity, respiration, and heart rate to enable continuous posture and health monitoring.
Our algorithm translates this data into interpretable measures, including sitting duration, asymmetry, active versus static sitting, and pressure distribution, linked to specific musculoskeletal conditions.
Additionally, the research explores AI techniques to predict the need and optimal timing for reassessments. This approach could transform postural management by reducing clinic visits and enhancing patient outcomes.
Current postural assessments are resource-intensive, require physical contact, and can be distressing for patients. To address this, we propose a novel smart seating system equipped with low-cost, unobtrusive sensors embedded in seat coverings. These sensors monitor key parameters such as pressure, shear force, temperature, humidity, respiration, and heart rate to enable continuous posture and health monitoring.
Our algorithm translates this data into interpretable measures, including sitting duration, asymmetry, active versus static sitting, and pressure distribution, linked to specific musculoskeletal conditions.
Additionally, the research explores AI techniques to predict the need and optimal timing for reassessments. This approach could transform postural management by reducing clinic visits and enhancing patient outcomes.
Status | Active |
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Effective start/end date | 1/06/23 → 31/12/28 |