利用可穿戴超声波和机器学习算法为夜尿症儿童设计的排尿前报警系统

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Jun Wang;Zeyang Dai;Xiao Liu
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引用次数: 0

摘要

夜间遗尿症是一种困扰许多儿童及其看护者的疾病。排尿后系统对训练儿童形成正确的排尿路径价值不大,而现有的排尿前系统存在一些实际限制,如硬件笨重、假定每个膀胱的形状是通用的,以及对传感器位置误差敏感等。方法我们开发了一种具有机器学习功能的低压超声系统,用于估计膀胱充盈状态。定制的柔性一维传感器阵列由低压编码脉冲激发,采用脉冲压缩技术提高信噪比。为了最大限度地减少可能出现的传感器错位的负面影响,本研究采用了机器学习的多位置训练策略。利用 KNN、SVM 和稀疏编码这三种流行的分类方法,将获取的 100 毫升至 300 毫升不同体积的数据分为两类:低体积和高体积。低容量类别无需采取进一步行动,而高容量类别则会触发警报,提醒儿童和护理人员。结果:当传感器摆放位置理想时,即实际传感器摆放位置与训练位置一致时,使用稀疏编码进行分类的精确度和召回率分别为 0.957~pm ~0.02$ 和 0.958~pm ~0.02$。即使换能器阵列的位置与理想位置相差 4.5 毫米,所提出的系统仍能保持较高的分类精度(精确度为 0.75 美元,召回率为 0.75 美元)。类别早期/临床前研究 临床和转化影响:针对夜间遗尿症提出的超声波传感器系统具有重要的临床和转化价值,因为它解决了限制类似设备广泛应用的两个主要问题。首先,由于整个系统是在低电压领域实现的,因此安全性更高。其次,该系统在保持高分类准确性的同时,对传感器错位具有足够的容忍度。与现有设备相比,这些特点为儿童及其看护者提供了更加友好的使用环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Pre-Voiding Alarm System Using Wearable Ultrasound and Machine Learning Algorithms for Children With Nocturnal Enuresis
Nocturnal enuresis is a bothersome condition that affects many children and their caregivers. Post-voiding systems is of little value in training a child into a correct voiding routing while existing pre-voiding systems suffer from several practical limitations, such as cumbersome hardware, assuming individual bladder shapes being universal, and being sensitive to sensor placement error. Methods: A low-voltage ultrasound system with machine learning has been developed in estimating bladder filling status. A custom-made flexible 1D transducer array has been excited by low-voltage coded pulses with a pulse compression technique for an enhanced signal-to-noise ratio. In order to minimize the negative influence of possible transducer misplacement, a multiple-position training strategy using machine learning has been adopted in this work. Three popular classification methods, KNN, SVM and sparse coding, have been utilized to classify the acquired different volumes ranging from 100 ml to 300 ml into two categories: low volume and high volume. The low-volume category requires no further action while the high-volume category triggers an alarm to alert the child and caregiver. Results: When the sensor placement is ideal, i.e., the position of the practical sensor placement is on spot with the trained position, the precision and recall of the classification using sparse coding are $0.957~\pm ~0.02$ and $0.958~\pm ~0.02$ , respectively. Even if the transducer array is misplaced by up to 4.5 mm away from the ideal location, the proposed system is able to maintain high classification accuracy (precision $\ge 0.75$ and recall $\ge 0.75$ ). Category: Early/Pre-Clinical Research Clinical and Translational Impact: The proposed ultrasound sensor system for nocturnal enuresis is of significant clinical and translational value as it addresses two major issues that limit the wide adoption of similar devices. Firstly, it offers enhanced safety as the entire system has been implemented in the lowvoltage domain. Secondly, the system features ample tolerance to sensor misplacement while maintaining high classification accuracy. These features combined provide a much more user-friendly environment for children and their caregivers than existing devices.
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来源期刊
CiteScore
7.40
自引率
2.90%
发文量
65
审稿时长
27 weeks
期刊介绍: The IEEE Journal of Translational Engineering in Health and Medicine is an open access product that bridges the engineering and clinical worlds, focusing on detailed descriptions of advanced technical solutions to a clinical need along with clinical results and healthcare relevance. The journal provides a platform for state-of-the-art technology directions in the interdisciplinary field of biomedical engineering, embracing engineering, life sciences and medicine. A unique aspect of the journal is its ability to foster a collaboration between physicians and engineers for presenting broad and compelling real world technological and engineering solutions that can be implemented in the interest of improving quality of patient care and treatment outcomes, thereby reducing costs and improving efficiency. The journal provides an active forum for clinical research and relevant state-of the-art technology for members of all the IEEE societies that have an interest in biomedical engineering as well as reaching out directly to physicians and the medical community through the American Medical Association (AMA) and other clinical societies. The scope of the journal includes, but is not limited, to topics on: Medical devices, healthcare delivery systems, global healthcare initiatives, and ICT based services; Technological relevance to healthcare cost reduction; Technology affecting healthcare management, decision-making, and policy; Advanced technical work that is applied to solving specific clinical needs.
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