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Short Communication
Complications
Single Sensor Gait Analysis to Detect Diabetic Peripheral Neuropathy: A Proof of Principle Study
Patrick Esser, Johnny Collett, Kevin Maynard, Dax Steins, Angela Hillier, Jodie Buckingham, Garry D. Tan, Laurie King, Helen Dawes
Diabetes Metab J. 2018;42(1):82-86.   Published online January 3, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.82
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  • 15 Web of Science
  • 13 Crossref
AbstractAbstract PDFPubReader   

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.

Citations

Citations to this article as recorded by  
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  • Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review
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