Smart Insoles for Diagnosing Diabetic Neuropathy
Author Information
Author(s): Fuss Franz Konstantin, Tan Adin Ming, Weizman Yehuda
Primary Institution: University of Bayreuth
Hypothesis
The diabetes cohort diagnosed with peripheral neuropathy is less balanced than healthy volunteers.
Conclusion
Healthy volunteers and diabetic subjects have significantly different cyclogram geometries and balance index values, indicating potential for improved diagnostic classifiers for diabetic peripheral neuropathy.
Supporting Evidence
- The balance index (BI) medians of the diabetes cohort and healthy cohort differed significantly.
- Two distances and their ratio had an AUC > 0.94, indicating high potential as classifiers for diagnosing diabetic peripheral neuropathy.
- The study found that the BI captures balance issues related to diabetic peripheral neuropathy.
Takeaway
This study used smart insoles to measure how people with diabetes walk compared to healthy people, finding that those with diabetes often have balance issues.
Methodology
Participants walked on a flat walkway while wearing smart insoles that measured their center of pressure, and various parameters were analyzed to classify their balance and predict diabetic peripheral neuropathy.
Potential Biases
The study may have bias due to the age difference between the cohorts and the severity of DPN in the diabetic group.
Limitations
The two cohorts were not age-matched, and the diabetic patients were severe cases of DPN, which may affect the generalizability of the results.
Participant Demographics
14 people with diabetes (9 men, 5 women; age range 58-80) and 15 healthy volunteers (14 men, 1 woman; age range 20-55).
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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