1. Fall prevention walker during rehabilitation
- Author
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Wan Nurshazwani Wan Zakaria, Kian Sek Tee, Mohammed I. Awad, Chun Zhi E, Hazlita Mohd Isa, Chin Fhong Soon, Hashim Saim, and Safinaz Mohd Khialdin
- Subjects
medicine.medical_specialty ,Rehabilitation ,Gait (human) ,Physical medicine and rehabilitation ,Computer science ,Impaired Balance ,medicine.medical_treatment ,medicine ,Fall detection ,Assistive device ,Falling (sensation) ,Fall prevention - Abstract
This paper proposes on the design of a walker for the prevention of falling among elderlies or patients during rehabilitation whenever they use a walker to assist them. Fall happens due to impaired balance or gait problem. The assistive device is designed by applying stability concept and an accelerometric fall detection system is included. The accelerometric fall detection system acts as an alerting device that acquires body accelerometric data and detect fall. Recorded accelerometric data could be useful for further assessment. Structural strength of the walker was verified via iterations of simulation using finite element analysis, before being fabricated. Experiments were conducted to identify the fall patterns using accelerometric data. The design process and detection of fall pattern demonstrates the design of a walker that could support the user without fail and alerts the helper, thus salvaging the users from injuries due to fall and unattended situation.
- Published
- 2017