膀胱无创传感的设计空间探索(DSE) 近红外光谱灌装技术

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摘要翻译：
尿失禁(UI)是一种广泛的医学疾病，每三四个美国人中就有一个人受到影响。近红外光谱(NIRS)是一种无创的膀胱充盈感检测方法，可以通过寻找最佳排尿时间来提高患者的生活质量。然而，近红外光谱在膀胱体积传感中的应用存在三个主要障碍：近红外波长的穿透深度不足、应用的鲁棒性和功率效率要求以及近红外波长的功率传输速率低。本文通过研究各种设计参数对近红外光谱在膀胱容积传感中适用性的影响，提供了一种设计空间探索(DSE)方法。我们研究了从650-950纳米的7个不同波长、16个可能的探测器-源距离和6个不同的感觉深度的影响。研究结果可作为膀胱充盈感近红外光谱的优化设计和实现的依据。
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英文标题：
《A Design Space Exploration (DSE) on Non-Invasive Sensing of Bladder
  Filling Using Near Infrared Spectroscopy (NIRS)》
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作者：
Mahya Saffarpour, Soheil Ghiasi
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Urinary Incontinence (UI) is a widespread medical condition that affects one person from every three or four Americans. Near-Infrared Spectroscopy (NIRS) is a non-invasive under-study method for bladder filling sensation that can enhance the life quality of UI patients by finding the optimal voiding time. However, the application of NIRS to bladder volume sensing can be quite challenging due to three major obstacles: non-adequate traversal depth of NIR wavelengths, robustness and power efficiency requirements of the application, and low power transmission rate of NIR wavelengths. This work provides a Design Space Exploration (DSE) through the effect of various design parameters on NIRS applicability for bladder volume sensing. We investigate the impact of 7 different wavelengths from 650-950 nm, 16 possible detector-source distances, and 6 different sensation depths. The results of our work can be used as a guideline through optimal design and implementation of NIRS for bladder filling sensation.
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PDF链接：
https://arxiv.org/pdf/1806.09382

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关键词：空间探索 近红外 红外光 Applications Optimization 适用性 空间 sensation 提高 探测器