IoMT-Enabled Stretchable Strain Sensor for Real-Time Urinary Bladder Monitoring

计算机科学 拉伤 实时计算 医学 内科学
作者
Meenakshi Malik,Izaz Ali Shah,Sajjad Hussain Mian,Youngdae Cho,Hyoungsuk Yoo
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:12 (18): 37418-37430
标识
DOI:10.1109/jiot.2025.3582795
摘要

Urinary incontinence, characterized by the loss of voluntary control over the urinary bladder muscles, significantly affects the patients’ quality of life. This study presents a novel, minimally invasive device-level solution for continuous urinary bladder pressure (UBP) monitoring, integrating advanced resistance-based strain sensor and antenna technologies with seamless Internet of Medical Things (IoMT) compatibility. A flexible ultra-wideband (UWB) antenna with compact size of 6 mm × 7 mm × 1.5 mm is designed for biotelemetric communication. Additionally, a strain sensor was developed using a self-fabricated non-conventional conductive ink with silver nanoparticles, whereas both the antenna and sensor were printed on a Polydimethylsiloxane substrate. Performance of the antenna alone and the integrated antenna system is validated through experiments in saline solution and minced pork muscle. Operating at a center frequency of 2.45 GHz the antenna showed a measured -10 dB bandwidth of 3.23 GHz (1.40 to 4.63 GHz) with a measured gain value of -27.68 dBi. Moreover, the strain sensor exhibited a significant resistance change of approximately 420 kΩ from 0% to 90% stretching, showcasing its high sensitivity to minor pressure variations. Rigorous tests, including stretch-and-hold, repeated stretching, hysteresis loss measurement, and time response analysis, confirmed the accuracy and durability of the sensor. Furthermore, a wireless biotelemetric link was established, demonstrating the system’s ability to wirelessly monitor sensor data over distances exceeding 2 meters. Finally, specific absorption rate and magnetic resonance imaging (MRI) compatibility analysis is evaluated to ensure safety of the system. This study underscores the potential of the proposed telemetry-enabled device to transform medical diagnostics, enhance patient outcomes, and redefine the management of urinary incontinence within the rapidly advancing IoMT landscape, representing a significant advancement in smart healthcare.
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