TY  - JOUR
PY  - 2016//
TI  - Toward a low-cost gait analysis system for clinical and free-living assessment
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Ladha, Cassim
A1  - Del Din, Silvia
A1  - Nazarpour, Kianoush
A1  - Hickey, Aodhan
A1  - Morris, Rosie
A1  - Catt, Michael
A1  - Rochester, Lynn
A1  - Godfrey, Alan
A1  - Ladha, Cassim
A1  - Del Din, Silvia
A1  - Nazarpour, Kianoush
A1  - Hickey, Aodhan
A1  - Morris, Rosie
A1  - Catt, Michael
A1  - Rochester, Lynn
A1  - Godfrey, Alan
A1  - Morris, Rosie
A1  - Ladha, Cassim
A1  - Rochester, Lynn
A1  - Godfrey, Alan
A1  - Hickey, Aodhan
A1  - Del Din, Silvia
A1  - Nazarpour, Kianoush
A1  - Catt, Michael
SP  - 1874
EP  - 1877
VL  - 2016
IS  - 
N2  - Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to bespoke clinical facilities until recently. The use of inexpensive wearable technologies is an attractive alternative and offers the potential to assess gait in any environment. In this paper we present the development of a low cost analysis gait system built using entirely open source components. The system is used to capture spatio-temporal gait characteristics derived from an existing conceptual model, sensitive to ageing and neurodegenerative pathology (e.g. Parkinson's disease). We demonstrate the system is suitable for use in a clinical unit and will lead to pragmatic use in a free-living (home) environment. The system consists of a wearable (tri-axial accelerometer and gyroscope) with a Raspberry Pi module for data storage and analysis. This forms ongoing work to develop gait as a low cost diagnostic in modern healthcare.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2016.7591086
ID  - ref1
ER  -