TY - JOUR
T1 - An intelligent wearable device based on electrical impedance tomography for dynamic and accurate monitoring of voiding function in patients with benign prostatic hyperplasia
T2 - protocol for a single-centre self-controlled diagnostic consistency study
AU - Liu, Zhuo
AU - Lin, Xiushi
AU - Zhuo, Lin
AU - Li, Qiang
AU - Chen, Jiyuan
AU - Zhu, Zexin
AU - Li, Xiaolin
AU - Xiao, Chunlei
AU - Zhang, Shudong
AU - Sun, Jiangtao
AU - Liu, Ke
N1 - Publisher Copyright:
© AME Publishing Company.
PY - 2026/5/30
Y1 - 2026/5/30
N2 - 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.
AB - 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.
KW - Benign prostatic hyperplasia (BPH)
KW - bladder volume monitoring
KW - electrical impedance tomography (EIT)
KW - urinary flow rate
KW - wearable device
UR - https://www.scopus.com/pages/publications/105040102828
U2 - 10.21037/tau-2026-1-0156
DO - 10.21037/tau-2026-1-0156
M3 - 文章
AN - SCOPUS:105040102828
SN - 2223-4683
VL - 15
JO - Translational Andrology and Urology
JF - Translational Andrology and Urology
IS - 5
M1 - 181
ER -