Personalized Urination Activity Management Based on an Intelligent System Using a Wearable Device

CONCLUSION: This urinary activity management system showed high accuracy and was applied in a clinical environment to characterize patients' urinary patterns. As wearable devices are developed and generalized, algorithms capable of detecting certain sequential body motor patterns that reflect certain physiological behaviors can be a new methodology for studying human physiological behaviors. It is also thought that these systems will have a significant impact on diagnostic assistance for clinicians.PMID:34610716 | DOI:10.5213/inj.2142276.138
Source: International Neurourology Journal - Category: Urology & Nephrology Authors: Source Type: research