Wearable electronic devices are a convenient solution to pain intensity assessment as they can provide continuous monitoring for more precise medication adjustments. However, there is little evidence regarding the use of wearable electronic devices for chronic pain intensity assessment. Our primary objective was to examine the physiologic parameters used by wearable electronic devices for chronic pain intensity assessment. We initially inquired PubMed, CINAHL, and Embase for studies evaluating the use of wearable electronic devices for chronic pain intensity assessment. We updated our inquiry by searching on PubMed, Embase, Scopus, and Google Scholar. English peer-reviewed studies were included, with no exclusions based on time frame or publication status. Of 348 articles that were identified on the first inquiry, 8 fulfilled the eligibility criteria. Of 179 articles that were identified on the last inquiry, only 1 fulfilled the eligibility criteria. We found articles evaluating wristbands, smartwatches, and belts. Parameters evaluated were psychomotor and sleep patterns, space and time mobility, heart rate variability, and skeletal muscle electrical activity. Most of the studies found significant positive associations between physiological parameters measured by wearable electronic devices and self-reporting pain scales. Wearable electronic devices reliably reflect physiologic or biometric parameters, providing a physiological correlation for pain. Early stage investigation suggests that the degree of pain intensity can be discerned, which ideally will reduce the bias inherent to existing numeric/verbal scales. Further research on the use of these devices is vital.

中文翻译：

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用于慢性疼痛强度评估的可穿戴电子设备：系统评价

可穿戴电子设备是一种方便的疼痛强度评估解决方案，因为它们可以提供持续监控以进行更精确的药物调整。然而，几乎没有证据表明使用可穿戴电子设备进行慢性疼痛强度评估。我们的主要目标是检查可穿戴电子设备用于慢性疼痛强度评估的生理参数。我们最初向 PubMed、CINAHL 和 Embase 询问评估使用可穿戴电子设备进行慢性疼痛强度评估的研究。我们通过搜索 PubMed、Embase、Scopus 和 Google Scholar 更新了我们的查询。纳入英国同行评审研究，没有基于时间框架或出版状态的排除。在第一次调查中确定的 348 篇文章中，8 人符合资格标准。在上次调查中确定的 179 篇文章中，只有 1 篇符合资格标准。我们找到了评估腕带、智能手表和腰带的文章。评估的参数是精神运动和睡眠模式、空间和时间流动性、心率变异性和骨骼肌电活动。大多数研究发现，可穿戴电子设备测量的生理参数与自我报告的疼痛量表之间存在显着的正相关。可穿戴电子设备可靠地反映生理或生物特征参数，为疼痛提供生理相关性。早期调查表明，可以辨别疼痛强度的程度，理想情况下这将减少现有数字/语言量表固有的偏差。