A skin-conformable wireless sensor to objectively quantify symptoms of pruritus.
A skin-conformable wireless sensor to objectively quantify symptoms of pruritus.
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DOI：
10.1126/sciadv.abf9405
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发表时间：
2021-04
期刊：
影响因子：
13.6
通讯作者：
Xu S
中科院分区：
文献类型：
--
作者：
Chun KS;Kang YJ;Lee JY;Nguyen M;Lee B;Lee R;Jo HH;Allen E;Chen H;Kim J;Yu L;Ni X;Lee K;Jeong H;Lee J;Park Y;Chung HU;Li AW;Lio PA;Yang AF;Fishbein AB;Paller AS;Rogers JA;Xu S
我们报告了一种能够评估瘙痒量化的皮肤适应性无线传感器的发展。瘙痒是一种常见的临床症状，也是各种疾病相关发病率的主要驱动因素。大量未满足的需求是客观、准确地测量瘙痒。在这篇文章中，我们提出了一种非侵入性的技术，通过一个柔软，灵活，无线传感器，捕捉从手背抓挠声机械签名客观量化抓挠行为。在从健康受试者（n = 10）收集的数据上验证的机器学习算法表明，相对于基于智能手表的方法，该算法具有出色的性能。在一组中重度特应性皮炎儿童患者（n = 11）中进行的临床验证包括46个睡眠夜晚，总计378.4小时。数据表明，对目视观察的准确性为99.0%（84.3%灵敏度，99.3%特异性）。这项工作表明了与应用相关的广泛能力，从评估药物对引起瘙痒的疾病的疗效到监测疾病的严重程度和治疗反应。
We report the development of a skin-conformable wireless sensor capable of assessing scratching for the quantification of itch. Itch is a common clinical symptom and major driver of disease-related morbidity across a wide range of medical conditions. A substantial unmet need is for objective, accurate measurements of itch. In this article, we present a noninvasive technology to objectively quantify scratching behavior via a soft, flexible, and wireless sensor that captures the acousto-mechanic signatures of scratching from the dorsum of the hand. A machine learning algorithm validated on data collected from healthy subjects (n = 10) indicates excellent performance relative to smartwatch-based approaches. Clinical validation in a cohort of predominately pediatric patients (n = 11) with moderate to severe atopic dermatitis included 46 sleep-nights totaling 378.4 hours. The data indicate an accuracy of 99.0% (84.3% sensitivity, 99.3% specificity) against visual observation. This work suggests broad capabilities relevant to applications ranging from assessing the efficacy of drugs for conditions that cause itch to monitoring disease severity and treatment response.
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DOI：
10.1109/jbhi.2017.2710798
发表时间：
2018-07-01
影响因子：
7.7
作者：
Moreau, Arnaud;Anderer, Peter;Peterson, Barry
通讯作者：
Peterson, Barry
影响因子：
--
作者：
Chamlin, SL;Mattson, CL;Chren, MM
通讯作者：
Chren, MM
影响因子：
3.8
作者：
Bathe, Anja;Weisshaar, Elke;Matterne, Uwe
通讯作者：
Matterne, Uwe
影响因子：
3.3
作者：
Arlot, Sylvain;Celisse, Alain
通讯作者：
Celisse, Alain
影响因子：
5.7
作者：
LeBourgeois, Monique K.;Dean, Douglas C.;Kurth, Salome
通讯作者：
Kurth, Salome