High Dry Night Rate for Users of New Bedwetting AI Alarm

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High compliance users remained dry 93% of the time, compared with 87.7% in the whole group.

HealthDay News — High compliance users of the new bedwetting alarm, GOGOband, which utilizes real-time heart rate variability analysis and applies artificial intelligence (AI) to create an alarm to wake the user, have a 93% dry night rate, according to a study published online April 28 in the Journal of Pediatric Urology.

Israel Franco, MD, from the Yale University School of Medicine in New Haven, Connecticut, and Jon Coble, from GoGoband Inc. in Richmond, Virginia, evaluated a new bedwetting alarm, GOGOband, and assessed the efficacy in the first 18 months of use. All 54 individuals (mean age, 10.1 years) who used the system for more than 30 nights from January 1, 2020, to June 2021, were included.

The researchers found that prior to treatment, subjects wet the bed a median of 7 nights per week. The number and severity of accidents per night did not affect the ability to achieve dryness with GOGOband. In crosstab analysis, high compliant users (>80%) could remain dry 93% of the time, compared with 87.7% in the whole group. The ability to achieve 14 dry nights in a row was 66.7% overall; some individuals achieved a median of 16 14-day periods of dryness.

“We have entered a new epoch in which we have left behind the rudimentary alarms of the past and are presently entering the modern age with a biometric-based AI machine learning intelligent alarm,” the authors write.

Both authors are GOGOband patent holders and shareholders.

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