Year
2018
Degree Name
Doctor of Philosophy
Department
School of Electrical, Computer and Telecommunications Engineering
Abstract
Every year, almost one in three people over the age of 65 experiences a fall. There is a largely unmet need for a method to measure the risk of falls. In the conventional balance and falls risk assessment, clinicians score the subject. While such methods provide some information on the subject’s balance and functional ability, they are mostly dependent on the views and experience of the clinician, making them subjective and prone to error.
Recommended Citation
Ghahramani, Maryam, Biometric fall risk and balance assessment in older people, Doctor of Philosophy thesis, School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, 2018. https://ro.uow.edu.au/theses1/314
FoR codes (2008)
0903 BIOMEDICAL ENGINEERING, 1004 MEDICAL BIOTECHNOLOGY, 1106 HUMAN MOVEMENT AND SPORTS SCIENCE, 0802 COMPUTATION THEORY AND MATHEMATICS
Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.