Cardiff University, Cardiff, UK.
University of Kent, Canterbury, UK.
BMC Res Notes. 2024 Jan 24;17(1):36. doi: 10.1186/s13104-024-06689-9.
With an increasingly ageing population and osteoarthritis prevalence, the quantification of nociceptive signals responsible for painful movements and individual responses could lead to better treatment and monitoring solutions. Changes in electrodermal activity (EDA) can be detected via changes in skin conductance (SC) and measured using finger electrodes on a wearable sensor, providing objective information for increased physiological stress response.
To provide EDA response preliminary data, this was recorded with healthy volunteers on an array of activities while receiving a noxious stimulus. This provides a defined scenario that can be utilised as protocol feasibility testing. Raw signal extraction, processing and statistical analysis was performed using mean SC values on all participant data. The application of the stimuli resulted in a significant average increase (p < 0.05) in mean SC in four out of five activities with significant gender differences (p < 0.05) in SC and self-reported pain scores and large effect sizes. Though EDA parameters are a promising tool for nociceptive response indicators, limitations including motion artifact sensitivities and lack of previous movement-based EDA published data result in restricted analysis understanding. Refined processing pipelines with signal decomposition tools could be utilised in a protocol that quantifies nociceptive response clinically meaningfully.
随着人口老龄化和骨关节炎的普遍存在，对导致疼痛运动和个体反应的伤害性信号进行量化，可能会带来更好的治疗和监测解决方案。通过皮肤电导（SC）的变化，可以检测到皮肤电活动（EDA）的变化，并使用可穿戴传感器上的指状电极进行测量，为增加的生理应激反应提供客观信息。
为了提供 EDA 反应的初步数据，本研究在健康志愿者进行一系列活动的同时接受有害刺激时记录了 EDA。这提供了一个可用于协议可行性测试的明确场景。对所有参与者数据的平均 SC 值进行了原始信号提取、处理和统计分析。应用刺激后，有四项活动中的平均 SC 值显著增加（p<0.05），其中 SC 和自我报告的疼痛评分存在显著的性别差异（p<0.05），且效应量较大。尽管 EDA 参数是伤害性反应指标的有前途的工具，但包括运动伪影敏感性和缺乏以前基于运动的 EDA 发表数据在内的限制，导致对分析的理解受到限制。具有信号分解工具的改进处理管道可用于临床有意义地量化伤害性反应的协议。
