Examining new-generation transdermal alcohol biosensor performance across laboratory and field contexts.
Examining new-generation transdermal alcohol biosensor performance across laboratory and field contexts.
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在实验室和现场环境中检查新一代透皮酒精生物传感器的性能。
DOI：
10.1111/acer.14977
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Bosch,Nigel
中科院分区：
文献类型：
--
作者：
Ariss,Talia;Fairbairn,CatharineE;Bosch,Nigel
背景腕式透皮酒精传感器有可能改变酒精消耗的测量方式。然而，与经皮传感器数据相关的硬件和数据分析挑战使这些设备无法广泛使用。鉴于最近的技术和分析进展，这项研究提供了新一代腕戴式透皮传感器在实验室和现场设置的性能的最新说明。MethodsThis work learns machine learning models to convert transducer alcohol concentration data into estimates of Breath Alcohol Concentration（BrAC）in a large scale laboratory sample（N= 256，研究1）和中试田间样品（N= 27，研究2）。具体而言，在这两项研究中，翻译的准确性进行评估，通过比较BAC的估计产生的BAC跟踪Skyn的真实的-时间呼吸测醉器测量收集在实验室和在field.ResultsThe最新版本的Skyn设备表现出显着较低的错误率比旧的手工组装的原型（0%至7%与29%至53%，分别）。平均而言，这些经皮传感器产生的BrAC的真实的实时估计值在实验室环境中的真实BAC读数的0.007以内，在现场的真实BrAC读数的0.019以内。在这两种情况下，真正的和估计的BrAC之间的距离较大时，只有酒精发作进行了检查（实验室= 0.017;字段= 0.041）。最后，幂律曲线预测的结果表明，鉴于其准确性，在真实的世界背景下的经皮BrAC估计有可能显着提高（>25%）与足够大小的数据集模型training.ConclusionFindings从这项研究表明，最新版本的经皮手腕传感器持有承诺，在现场环境中准确评估酒精消费。需要大量的额外工作，以提供这些设备的效用的全貌，包括在现场环境中的大型参与者样本的研究。
BackgroundWrist‐worn transdermal alcohol sensors have the potential to change how alcohol consumption is measured. However, hardware and data analytic challenges associated with transdermal sensor data have kept these devices from widespread use. Given recent technological and analytic advances, this study provides an updated account of the performance of a new‐generation wrist‐worn transdermal sensor in both laboratory and field settings.MethodsThis work leverages machine learning models to convert transdermal alcohol concentration data into estimates of Breath Alcohol Concentration (BrAC) in a large‐scale laboratory sample (N= 256, study 1) and a pilot field sample (N= 27, study 2). Specifically, in both studies, the accuracy of the translation is evaluated by comparing BAC estimates yielded by BACtrack Skyn to real‐time breathalyzer measurements collected in the laboratory and in the field.ResultsThe newest version of the Skyn device demonstrates a substantially lower error rate than older hand‐assembled prototypes (0% to 7% vs. 29% to 53%, respectively). On average, real‐time estimates of BrAC yielded by these transdermal sensors are within 0.007 of true BAC readings in the laboratory context and within 0.019 of true BrAC readings in the field. In both contexts, the distance between true and estimated BrAC was larger when only alcohol episodes were examined (laboratory = 0.017; field = 0.041). Finally, results of power‐law‐curve projections indicate that, given their accuracy, transdermal BrAC estimates in real‐world contexts have the potential to improve markedly (>25%) with adequately sized datasets for model training.ConclusionFindings from this study indicate that the latest version of the transdermal wrist sensor holds promise for the accurate assessment of alcohol consumption in field contexts. A great deal of additional work is needed to provide a full picture of the utility of these devices, including research with large participant samples in field contexts.
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DOI：
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发表时间：
1936
期刊：
影响因子：
--
作者：
E. Nyman;A. Palmlöv
通讯作者：
A. Palmlöv
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DOI：
--
发表时间：
1999
期刊：
International Conference on Artificial Intelligence and Statistics
影响因子：
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作者：
L. Frey;D. Fisher
通讯作者：
D. Fisher
影响因子：
4.6
作者：
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通讯作者：
Fairchild, BA
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DOI：
--
发表时间：
2012
期刊：
Psychological Research
影响因子：
--
作者：
Béatrice Longuenesse
通讯作者：
Béatrice Longuenesse