Automated closed-loop stimulation to inhibit neurogenic bladder overactivity.

IF 1.7 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Steve Majerus, Carvell Nguyen, Steven Brose, Gregory Nemunaitis, Margot Damaser, Dennis J Bourbeau
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引用次数: 0

Abstract

Individuals with spinal cord injury (SCI) usually develop neurogenic detrusor overactivity (NDO), resulting in bladder urgency and incontinence, and reduced quality of life. Electrical stimulation of the genital nerves (GNS) can inhibit uncontrolled bladder contractions in individuals with SCI. An automated closed-loop bladder neuromodulation system currently does not exist but could improve this approach. We have developed a custom algorithm to identify bladder contractions and trigger stimulation from bladder pressure data without need for abdominal pressure measurement. The goal of this pilot study was to test the feasibility of automated closed-loop GNS using our custom algorithm to identify and inhibit reflex bladder contractions in real time. Experiments were conducted in a single session in a urodynamics laboratory in four individuals with SCI and NDO. Each participant completed standard cystometrograms without and with GNS. Our custom algorithm monitored bladder vesical pressure and controlled when GNS was turned on and off. The custom algorithm detected bladder contractions in real time, successfully inhibiting a total of 56 contractions across all four subjects. There were eight false positives, six of those occurring in one subject. It took approximately 4.0 ± 2.6 s for the algorithm to detect the onset of a bladder contraction and trigger stimulation. The algorithm maintained stimulation for approximately 3.5 ± 1.7 s, which was enough to inhibit activity and relieve feelings of urgency. Automated closed-loop stimulation was well-tolerated and subjects reported that algorithm decisions generally matched with their perceptions of bladder activity. The custom algorithm automatically, successfully identified bladder contractions to trigger stimulation to inhibit bladder contractions acutely. Closed-loop neuromodulation using our custom algorithm is feasible, but further testing is needed refine this approach for use in a home environment.

自动闭环刺激抑制神经源性膀胱过度活动。
脊髓损伤(SCI)患者通常会出现神经源性逼尿肌过度活动(NDO),导致膀胱紧迫感和尿失禁,并降低生活质量。对生殖器神经(GNS)进行电刺激可以抑制 SCI 患者不受控制的膀胱收缩。自动闭环膀胱神经调节系统目前尚不存在,但可以改善这种方法。我们开发了一种定制算法,可识别膀胱收缩,并通过膀胱压力数据触发刺激,而无需测量腹压。这项试验研究的目的是测试自动闭环 GNS 的可行性,使用我们定制的算法来实时识别和抑制反射性膀胱收缩。实验是在尿动力学实验室对四名患有 SCI 和 NDO 的患者进行的单次实验。每位受试者都完成了无 GNS 和有 GNS 情况下的标准膀胱造影。我们的定制算法监测膀胱膀胱压力,并控制 GNS 的开启和关闭。定制算法实时检测膀胱收缩,成功抑制了所有四名受试者共 56 次收缩。共有 8 次误报,其中 6 次发生在一名受试者身上。算法检测到膀胱收缩并触发刺激大约需要 4.0±2.6 秒。该算法可持续刺激约 3.5 ± 1.7 秒,足以抑制膀胱活动并缓解尿急感。受试者对自动闭环刺激的耐受性良好,并表示算法的决定与他们对膀胱活动的感知基本吻合。定制算法能自动、成功地识别膀胱收缩,从而触发刺激,抑制膀胱的急性收缩。使用我们的定制算法进行闭环神经调节是可行的,但还需要进一步的测试来完善这种方法,以便在家庭环境中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.60
自引率
5.60%
发文量
122
审稿时长
6 months
期刊介绍: The Journal of Engineering in Medicine is an interdisciplinary journal encompassing all aspects of engineering in medicine. The Journal is a vital tool for maintaining an understanding of the newest techniques and research in medical engineering.
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