Feasibility study of intelligent autonomous determination of the bladder voiding need to treat bedwetting using ultrasound and smartphone ML techniques

Unsatisfactory cure rates for the treatment of nocturnal enuresis (NE), i.e. bed-wetting, have led to the need to explore alternative modalities. New treatment methods that focus on preventing enuretic episodes by means of a pre-void alerting system could improve outcomes for children with NE in many aspects. No such technology exists currently to monitor the bladder to alarm before bed-wetting. The aim of this study is to carry out the feasibility of building, refining and evaluating a new, safe, comfortable and non-invasive wearable autonomous intelligent electronic device to monitor the bladder using a single-element low-powered low-frequency ultrasound with the help of Machine Learning techniques and to treat NE by warning the patient at the pre-void stage, enhancing quality of life for these children starting from the first use. The sensitivity and specificity values are 0.89 and 0.93 respectively for determining imminent voiding need. The results indicate that customised imminent voiding need based on the expansion of the bladder can be determined by applying a single-element transducer on a bladder in intermittent manner. The acquired results can be improved further with a comfortable non-invasive device by adding several more features to the current features employed in this pilot study

DryNights,:a self-powered bedwetting alarm for children

\u3cp\u3eThis extended abstract describes the concept of DryNights, a bedwetting behaviour change support system concept consisting out of a self-powered sensor and a mobile application developed in collaboration with LifeSense Group (spinoff Imec, Holst Centre) and the Eindhoven University of Technology. The sensor uses the principle of an electrochemical cell to generate its own electricity and to power a harmless and wireless signal transmission from the sensor to a mobile device. The mobile application has been designed in collaboration with children (N=75) from the target group. The reliability of the signal transmission and the range of the sensor have been successfully evaluated in a small-scale experiment. Trials with children wearing it to go to sleep are currently under way and suggest that DryNights is comfortable and children are experiencing it positively.\u3c/p\u3

DryNights,: a self-powered bedwetting alarm for children

This extended abstract describes the concept of DryNights, a bedwetting behaviour change support system concept consisting out of a self-powered sensor and a mobile application developed in collaboration with LifeSense Group (spinoff Imec, Holst Centre) and the Eindhoven University of Technology. The sensor uses the principle of an electrochemical cell to generate its own electricity and to power a harmless and wireless signal transmission from the sensor to a mobile device. The mobile application has been designed in collaboration with children (N=75) from the target group. The reliability of the signal transmission and the range of the sensor have been successfully evaluated in a small-scale experiment. Trials with children wearing it to go to sleep are currently under way and suggest that DryNights is comfortable and children are experiencing it positively