Supervised Learning Classifiers for Electrical Impedance-based Bladder State Detection

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Summary

This paper represents the first study to use machine learning for bladder state detection with electrical impedance measurements and the results show promise for impedance-based bladder state Detection to support those living with urinary incontinence.

Type
article
Published
2018-03-29
Cited by
43
References
39
Access
Open access

Keywords

Urinary incontinence, Artificial intelligence, Support vector machine, Computer science, Electrical impedance

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