Details of Grant 

EPSRC Reference:	GR/T08289/01
Title:	The clinical validation of a new mathematical tool to diagnose and classify normal, pathological and TKR knee function
Principal Investigator:	Holt, Professor C
Other Investigators:	Dent, Professor C Marshall, Professor A Beynon, Professor M
Researcher Co-Investigators:	Miss L Jones
Project Partners:	DePuy Synthes (International)
Department:	Sch of Engineering
Organisation:	Cardiff University
Scheme:	First Grant Scheme Pre-FEC
Starts:	01 May 2005	Ends:	31 January 2008	Value (£):	124,051
EPSRC Research Topic Classifications:	Biomechanics & Rehabilitation
EPSRC Industrial Sector Classifications:	Healthcare
Related Grants:
Panel History:
Summary on Grant Application Form
Analysing the information gathered during a gait analysis session is difficult and involves a team of biomechanical engineers and clinicians. process, objective gait classification techniques produce an index for disease progression, however they are clinically unappealing since they are mathematically difficult to follow, giving little indication of the importance of the various input signals and limited allowance for subject variability.To aid thisWith these difficulties in mind, a new diagnostic tool for osteoarthritis of the knee is under investigation. Its unique advantage is the mathematical potential to manage complicated datasets. Before it can be clinically implemented, it's diagnostic reliability must be addressed by a clinical trial to evaluate the biomechanical indicators for human knee movement, enhanced by a study to examine the accuracy of the signals, and it must be produced with a robust clinical interface for use by orthopaedic surgeons, physiotherapists and biomechanical engineers alike.An accurate classification technique could assist in clinical development and testing of new orthopaedic devices and would be useful in assessing the merits of treatment options, devices and surgery, and assist in planning. Even small reductions in treatment time and improvements in success rates could produce savings for the NHS and improved patient life quality.
Key Findings
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Organisation Website:	http://www.cf.ac.uk