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An intelligent wearable device based on electrical impedance tomography for dynamic and accurate monitoring of voiding function in patients with benign prostatic hyperplasia: protocol for a single-centre self-controlled diagnostic consistency study

  • Zhuo Liu
  • , Xiushi Lin
  • , Lin Zhuo
  • , Qiang Li
  • , Jiyuan Chen
  • , Zexin Zhu
  • , Xiaolin Li
  • , Chunlei Xiao
  • , Shudong Zhang
  • , Jiangtao Sun*
  • , Ke Liu*
  • *此作品的通讯作者
  • Peking University
  • Key Laboratory of Precision Opto-Mechatronics Technology (Ministry of Education)
  • Beijing Zhongguancun Hospital
  • Beihang University

科研成果: 期刊稿件文章同行评审

摘要

Background: Benign prostatic hyperplasia (BPH) is a common condition that causes lower urinary tract symptoms (LUTS) in middle-aged and elderly men. Existing bladder function monitoring methods, such as ultrasound and urodynamic studies (UDS), have limitations including invasiveness, lack of dynamic capability, poor portability, and susceptibility to psychological interference. Electrical impedance tomography (EIT) technology, with its potential for non-invasiveness, non-ionizing during monitoring, portability, and real-time dynamic imaging, offers a new approach to address this clinical challenge. Methods: This study aims to evaluate whether an intelligent wearable EIT device can achieve clinically acceptable agreement with standard uroflowmetry for dynamic monitoring of bladder volume and urinary flow rate in patients with BPH. This is a single-centre, self-controlled diagnostic consistency study. We plan to enroll 40 eligible patients with BPH. All participants will undergo simultaneous monitoring with the EIT wearable device and a conventional uroflowmeter during voiding. The primary outcomes are maximum flow rate (Qmax), average flow rate (Qave), and voided volume (VV) measured by both methods. Clinically acceptable agreement will be evaluated primarily by Bland-Altman analysis with 95% limits of agreement, with intraclass correlation coefficient (ICC) used as a supplementary measure of consistency; curve similarity will be explored using dynamic time warping (DTW) distance and Pearson correlation. Secondary outcomes include the device’s capability for real-time dynamic bladder volume monitoring during filling and voiding, and the development of an artificial intelligence (AI)-enhanced analytical framework for future home-based telemedicine applications. Discussion: This trial will systematically validate whether EIT-based wearable technology can achieve non-invasive, accurate, and dynamic monitoring of voiding function in patients with BPH. If successful, it may provide a practical alternative to traditional uroflowmetry by enabling continuous physiological assessment in a near-natural state, and ultimately support long-term home-based self-management and remote urological care.

源语言英语
文章编号181
期刊Translational Andrology and Urology
15
5
DOI
出版状态已出版 - 30 5月 2026

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