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학술저널
저자정보
Patrick Esser (Oxford Brookes University) Johnny Collett (Oxford Brookes University) Kevin Maynard (Oxford Brookes University) Dax Steins (Oxford Brookes University) Angela Hillier (Oxford University Hospitals NHS Foundation Trust) Jodie Buckingham (Oxford University Hospitals NHS Foundation Trust) Garry D. Tan (Oxford University Hospitals NHS Foundation Trust) Laurie King (Oxford University Hospitals NHS Foundation Trust) Helen Dawes (Oxford Brookes University)
저널정보
대한당뇨병학회 Diabetes and Metabolism Journal Diabetes and Metabolism Journal Vol.42 No.1
발행연도
2018.1
수록면
82 - 86 (5page)

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This study explored the potential utility of gait analysis using a single sensor unit (inertial measurement unit [IMU]) as a simple tool to detect peripheral neuropathy in people with diabetes. Seventeen people (14 men) aged 63±9 years (mean±SD) with diabetic peripheral neuropathy performed a 10-m walk test instrumented with an IMU on the lower back. Compared to a reference healthy control data set (matched by gender, age, and body mass index) both spatiotemporal and gait control variables were different between groups, with walking speed, step time, and SDa (gait control parameter) demonstrating good discriminatory power (receiver operating characteristic area under the curve >0.8). These results provide a proof of principle of this relatively simple approach which, when applied in clinical practice, can detect a signal from those with known diabetes peripheral neuropathy. The technology has the potential to be used both routinely in the clinic and for tele-health applications. Further research should focus on investigating its efficacy as an early indicator of or effectiveness of the management of peripheral neuropathy. This could support the development of interventions to prevent complications such as foot ulceration or Charcot’s foot.

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