Projects:2021s1-13412 Smart Sock for Aiding Prothesis Fit and Preventing Pressure Sores in Leg Amputees
Abstract here
Contents
Introduction
Australia has the second highest rate of diabetic related lower limb amputations in the developing world, these amputations are due to peripheral vascular disease or diabetes. The latest figures indicate that more than 8,000 lower limb amputations are performed each year in Australia. Other causes for amputation include cancer, trauma accidents, infections, and birth deficiencies.
The development of a prosthesis that improperly fits an amputee’s residual limb can lead to the development of pressure sores. This is due to the abnormally high-pressure areas between the residual limb and the prosthetic. This is a common problem amputees face, and it has a significant impact on their quality of life and the public healthcare system. Currently, visual inspection techniques such as Blu-Tak deformation, lipstick smudging, and a transparent socket are used to determine the locations and severity of these high-pressure areas. However, these current techniques have proven to be inaccurate and do not allow long-term monitoring of pressure sores.
The aim of the project is to develop a “Smart Sock” prototype that fits a lower limb amputee’s residual limb and is able to measure the distribution of pressures across the entire residual limb and the prosthetic using pressure sensors. These pressures will be analysed and displayed graphically via a user-friendly mobile application that will be developed. The prototype and APP will be utilised by clinician and practitioners to ensure a uniform distribution of pressure across the lower residual limb to prevent potential pressure sores from occurring. The device will also assist in prosthesis fitting and modification, locating high-pressure areas, and accelerate prothesis rehabilitation.
Project team
Project students
- Luke Quinzi
- Maria Rapetti
Supervisors
- Dr Said Al Sarawi
Stakeholders
- Vivien Heng
- Jane Morphett
Objectives
Set of objectives
Background
Topic 1
Method
Results
Conclusion
References
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[2] ...