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Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder Monitoring

Research group:

Publication Type:

Conference/Workshop Paper


2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)






Accurate bladder monitoring is critical in the management of conditions such as urinary incontinence, voiding dysfunction, and spinal cord injuries. Electrical bioimpedance (EBI) has emerged as a cost-effective and non-invasive approach to monitoring bladder activity in daily life, with particular relevance to patient groups who require measurement of bladder urine volume (BUV) to prevent urinary leakage. However, the impact of activities in daily living (ADLs) on EBI measurements remains incompletely characterized. In this study, we investigated the impact of normal ADLs such as sitting, standing, and walking on EBI measurements using the MAX30009evkit system with four electrodes placed on the lower abdominal area. We developed an algorithm to identify artifacts caused by the different activities from the EBI signals. Our findings demonstrate that various physical activities clearly affected the EBI measurements, indicating the necessity of considering them during bladder monitoring with EBI technology performed during physical activity (or normal ADLs). We also observed that several specific activities could be distinguished based on their impedance values and waveform shapes. Thus, our results provide a better understanding of the impact of physical activity on EBI measurements and highlight the importance of considering such physical activities during EBI measurements in order to enhance the reliability and effectiveness of EBI technology for bladder monitoring.


author = {Abdelakram Hafid and Saad Abdullah and Maria Lind{\'e}n and Annica Kristoffersson and Mia Folke},
title = {Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder Monitoring},
pages = {766--769},
month = {July},
year = {2023},
booktitle = {2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)},
publisher = {IEEE},
url = {}