皮肤电活动数据中伪迹的自动识别。
Automatic identification of artifacts in electrodermal activity data.
作者信息
Taylor Sara, Jaques Natasha, Chen Weixuan, Fedor Szymon, Sano Akane, Picard Rosalind
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:1934-7. doi: 10.1109/EMBC.2015.7318762.
Abstract
Recently, wearable devices have allowed for long term, ambulatory measurement of electrodermal activity (EDA). Despite the fact that ambulatory recording can be noisy, and recording artifacts can easily be mistaken for a physiological response during analysis, to date there is no automatic method for detecting artifacts. This paper describes the development of a machine learning algorithm for automatically detecting EDA artifacts, and provides an empirical evaluation of classification performance. We have encoded our results into a freely available web-based tool for artifact and peak detection.
摘要
最近，可穿戴设备已能够对皮肤电活动（EDA）进行长期动态测量。尽管动态记录可能存在噪声，并且在分析过程中记录伪迹很容易被误认为是生理反应，但迄今为止，尚无自动检测伪迹的方法。本文描述了一种用于自动检测EDA伪迹的机器学习算法的开发，并对分类性能进行了实证评估。我们已将结果编码到一个免费的基于网络的工具中，用于伪迹和峰值检测。
相似文献
1
Automatic identification of artifacts in electrodermal activity data.皮肤电活动数据中伪迹的自动识别。
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:1934-7. doi: 10.1109/EMBC.2015.7318762.
2
A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning.使用机器学习进行皮肤电活动数据中自动运动伪迹检测的初步研究。
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:6920-6923. doi: 10.1109/EMBC46164.2021.9629513.
3
Wavelet-based motion artifact removal for electrodermal activity.基于小波的皮肤电活动运动伪迹去除
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6223-6. doi: 10.1109/EMBC.2015.7319814.
4
Publication recommendations for electrodermal measurements.电皮肤测量的出版建议。
Psychophysiology. 2012 Aug;49(8):1017-34. doi: 10.1111/j.1469-8986.2012.01384.x. Epub 2012 Jun 8.
5
A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity Signals: A Preliminary Study.一种用于皮肤电活动信号中自动运动伪影去除的深度卷积自动编码器：初步研究。
Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:325-328. doi: 10.1109/EMBC48229.2022.9871635.
6
Human Activity Recognition Algorithm with Physiological and Inertial Signals Fusion: Photoplethysmography, Electrodermal Activity, and Accelerometry.基于光电容积脉搏波、皮肤电活动和加速度计的生理和惯性信号融合的人体活动识别算法。
Sensors (Basel). 2024 May 9;24(10):3005. doi: 10.3390/s24103005.
7
Design and Implementation of an Ultra-Low Resource Electrodermal Activity Sensor for Wearable Applications .用于可穿戴应用的超低资源皮肤电活动传感器的设计与实现。
Sensors (Basel). 2019 May 29;19(11):2450. doi: 10.3390/s19112450.
8
Unsupervised Machine Learning Methods for Artifact Removal in Electrodermal Activity.用于去除皮肤电活动伪迹的无监督机器学习方法
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:399-402. doi: 10.1109/EMBC46164.2021.9630535.
9
Electrodermal Activity Based Pre-surgery Stress Detection Using a Wrist Wearable.基于皮肤电活动的腕部可穿戴式术前应激检测
IEEE J Biomed Health Inform. 2020 Jan;24(1):92-100. doi: 10.1109/JBHI.2019.2893222. Epub 2019 Jan 16.
10
Model- based filtering for artifact and noise suppression with state estimation for electrodermal activity measurements in real time.基于模型的滤波，用于实时测量皮肤电活动时通过状态估计抑制伪迹和噪声。
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:2750-3. doi: 10.1109/EMBC.2015.7318961.
引用本文的文献
1
Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic.构建开源社区以增强自主神经系统信号分析：DBDP-自主神经系统分析项目
Front Digit Health. 2025 Jan 9;6:1467424. doi: 10.3389/fdgth.2024.1467424. eCollection 2024.
2
A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study.用于无创性轻度认知障碍检测的动态自适应集成学习框架：开发与验证研究
JMIR Med Inform. 2025 Jan 20;13:e60250. doi: 10.2196/60250.
3
Exploring the Dynamics of Canine-Assisted Interactions: A Wearable Approach to Understanding Interspecies Well-Being.探索犬辅助互动的动态：一种通过可穿戴设备理解跨物种福祉的方法。
Animals (Basel). 2024 Dec 16;14(24):3628. doi: 10.3390/ani14243628.
4
Social bonding through shared experiences: the role of emotional intensity.通过共同经历建立社会联系：情感强度的作用。
R Soc Open Sci. 2024 Oct 30;11(10):240048. doi: 10.1098/rsos.240048. eCollection 2024 Oct.
5
Personalized interpretable prediction of perceived sleep quality: Models with meaningful cardiovascular and behavioral features.个性化可解释的睡眠质量预测：具有有意义的心血管和行为特征的模型。
PLoS One. 2024 Jul 8;19(7):e0305258. doi: 10.1371/journal.pone.0305258. eCollection 2024.
6
Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study.使用机器学习进行接受度和情感研究：生态瞬时评估和可穿戴感应研究。
JMIR Mhealth Uhealth. 2024 Feb 7;12:e46347. doi: 10.2196/46347.
7
Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild using a Wearable Biosensor (Wrist Angel): Protocol for the Analysis Plan of a Nonrandomized Pilot Study.使用可穿戴生物传感器（腕部天使）预测野外儿童和青少年的强迫症事件：非随机试点研究分析计划方案
JMIR Res Protoc. 2023 Nov 14;12:e48571. doi: 10.2196/48571.
8
The connection between stress, density, and speed in crowds.人群中的压力、密度和速度之间的关系。
Sci Rep. 2023 Aug 21;13(1):13626. doi: 10.1038/s41598-023-39006-8.
9
Food Choices after Cognitive Load: An Affective Computing Approach.认知负荷后食物选择：一种情感计算方法。
Sensors (Basel). 2023 Jul 21;23(14):6597. doi: 10.3390/s23146597.
10
Synchrony in psychotherapy: High physiological positive concordance predicts symptom reduction and negative concordance predicts symptom aggravation.心理治疗中的同步性：高生理正向一致性预示症状减轻，而负向一致性预示症状加重。
Int J Methods Psychiatr Res. 2023 May 19;33(1):e1978. doi: 10.1002/mpr.1978.
本文引用的文献
1
Recognizing Academic Performance, Sleep Quality, Stress Level, and Mental Health using Personality Traits, Wearable Sensors and Mobile Phones.利用人格特质、可穿戴传感器和手机识别学业成绩、睡眠质量、压力水平和心理健康状况。
Int Conf Wearable Implant Body Sens Netw. 2015 Jun;2015. doi: 10.1109/BSN.2015.7299420. Epub 2015 Oct 19.
2
Salivary cortisol, heart rate, electrodermal activity and subjective stress responses to the Mannheim Multicomponent Stress Test (MMST).唾液皮质醇、心率、皮肤电活动和对曼海姆多成分应激测试（MMST）的主观应激反应。
Psychiatry Res. 2012 Jun 30;198(1):106-11. doi: 10.1016/j.psychres.2011.12.009. Epub 2012 Mar 6.
3
Methodological considerations in ambulatory skin conductance monitoring.门诊皮肤电传导监测的方法学考虑。
Int J Psychophysiol. 2011 May;80(2):87-95. doi: 10.1016/j.ijpsycho.2011.02.002. Epub 2011 Feb 21.
4
Wavelet transform domain filters: a spatially selective noise filtration technique.小波变换域滤波器：一种空间选择的噪声过滤技术。
IEEE Trans Image Process. 1994;3(6):747-58. doi: 10.1109/83.336245.
5
The development of a software program for analyzing spontaneous and externally elicited skin conductance changes in infants and adults.一款用于分析婴儿和成人自发及外部诱发皮肤电导变化的软件程序的开发。
Clin Neurophysiol. 2000 Oct;111(10):1889-98. doi: 10.1016/s1388-2457(00)00421-1.
6
Taking the laboratory to the skies: ambulatory assessment of self-report, autonomic, and respiratory responses in flying phobia.将实验室搬到空中：飞行恐惧症患者自我报告、自主神经及呼吸反应的动态评估
Psychophysiology. 1998 Sep;35(5):596-606. doi: 10.1017/s0048577298970196.
Zotero 插件