Literature DB >> 9535525

Design of a miniaturized ultrasonic bladder volume monitor and subsequent preliminary evaluation on 41 enuretic patients.

P Petrican1, M A Sawan.   

Abstract

Nocturnal incontinence (enuresis) affects 20% of children over four years old, and this figure typically decreases by 15% each year. At the age of 18, 1% of those people remain enuretic. Nocturnal enuresis can be treated by means of a conditioning device that awakens the patient once the urine level has reached a preestablished threshold of the capacity of his or her bladder. We have designed and implemented a portable miniaturized ultrasonic monitor, which permits estimation of the urine volume with an accuracy of 75%. Prototypes have been completed and validated on 41 patients (children) at Ste. Justine Hospital (Montréal). On the first group of 33 patients, we used a hand-held transducer to determine the volume detection range, which is accurate for volumes between 40 and 400 mL. With the second group of 8 patients, the device was mounted on an elastic belt around the abdomen. Measurements were taken in order to validate the accuracy of urine threshold detection and the activation of the corresponding alarm.

Entities:  

Mesh:

Year:  1998        PMID: 9535525     DOI: 10.1109/86.662622

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  6 in total

1.  Design and evaluation of an ultrasound-based bladder volume monitor.

Authors:  N K Kristiansen; J C Djurhuus; H Nygaard
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

Review 2.  A comprehensive survey on non-invasive wearable bladder volume monitoring systems.

Authors:  Morteza Zakeri Nasrabadi; Hamideh Tabibi; Mahsa Salmani; Mahdieh Torkashvand; Eisa Zarepour
Journal:  Med Biol Eng Comput       Date:  2021-07-14       Impact factor: 2.602

3.  A Polypyrrole-based Strain Sensor Dedicated to Measure Bladder Volume in Patients with Urinary Dysfunction.

Authors:  Sumitra Rajagopalan; Mohamad Sawan; Ebrahim Ghafar-Zadeh; Oumarou Savadogo; Vamsy P Chodavarapu
Journal:  Sensors (Basel)       Date:  2008-08-27       Impact factor: 3.576

4.  Feasibility study of intelligent autonomous determination of the bladder voiding need to treat bedwetting using ultrasound and smartphone ML techniques : Intelligent autonomous treatment of bedwetting.

Authors:  Kaya Kuru; Darren Ansell; Martin Jones; Christian De Goede; Peter Leather
Journal:  Med Biol Eng Comput       Date:  2018-12-26       Impact factor: 2.602

5.  Polypyrrole/Agarose Hydrogel-Based Bladder Volume Sensor with a Resistor Ladder Structure.

Authors:  Mi Kyung Kim; Sungwoo Lee; Inug Yoon; Geon Kook; Yeon Su Jung; Sarah S M Bawazir; Cesare Stefanini; Hyunjoo J Lee
Journal:  Sensors (Basel)       Date:  2018-07-14       Impact factor: 3.576

6.  Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors : Intelligent autonomous bladder monitoring to treat NE.

Authors:  Kaya Kuru; Darren Ansell; Martin Jones; Benjamin Jon Watkinson; Noreen Caswell; Peter Leather; Andrew Lancaster; Paula Sugden; Eleanor Briggs; Carl Davies; Teik Chooi Oh; Kina Bennett; Christian De Goede
Journal:  Med Biol Eng Comput       Date:  2020-02-24       Impact factor: 2.602

  6 in total

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