Andrew Leroux, Rachael Rzasa-Lynn, Ciprian Crainiceanu, Tushar Sharma
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A search was also performed on studies that investigated physical activity and physiometric signals among patients with pain.</p><p><strong>Results: </strong>Few studies have assessed the possibility of incorporating wearable devices as objective tools for contextualizing pain and physical function in free-living environments. Of the studies that have been conducted, most focus solely on physical activity and functional outcomes as measured by a wearable accelerometer. Several studies report promising correlations between pain scores and signals derived from wearable devices, objectively measured physical activity, and physical function. In addition, there is a known association between physiologic signals that can be measured by wearable devices and pain, though studies using wearable devices to measure these signals and associate them with pain in free-living environments are limited.</p><p><strong>Conclusion: </strong>There exists a great opportunity to study the complex interplay between physiometric signals, physical function, and pain in a real-time fashion in free-living environments. The literature supports the hypothesis that wearable devices can be used to develop reproducible biosignals that correlate with pain. The combination of wearable devices and EMA will likely lead to the development of clinically meaningful endpoints that will transform how we understand and treat pain patients.</p>","PeriodicalId":11242,"journal":{"name":"Digital Biomarkers","volume":"5 1","pages":"89-102"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138140/pdf/dib-0005-0089.pdf","citationCount":"0","resultStr":"{\"title\":\"Wearable Devices: Current Status and Opportunities in Pain Assessment and Management.\",\"authors\":\"Andrew Leroux, Rachael Rzasa-Lynn, Ciprian Crainiceanu, Tushar Sharma\",\"doi\":\"10.1159/000515576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>We investigated the possibilities and opportunities for using wearable devices that measure physical activity and physiometric signals in conjunction with ecological momentary assessment (EMA) data to improve the assessment and treatment of pain.</p><p><strong>Methods: </strong>We considered studies with cross-sectional and longitudinal designs as well as interventional or observational studies correlating pain scores with measures derived from wearable devices. A search was also performed on studies that investigated physical activity and physiometric signals among patients with pain.</p><p><strong>Results: </strong>Few studies have assessed the possibility of incorporating wearable devices as objective tools for contextualizing pain and physical function in free-living environments. Of the studies that have been conducted, most focus solely on physical activity and functional outcomes as measured by a wearable accelerometer. Several studies report promising correlations between pain scores and signals derived from wearable devices, objectively measured physical activity, and physical function. 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引用次数: 0
摘要
简介:我们研究了将测量体力活动和生理计量信号的可穿戴设备与生态瞬间评估(EMA)数据结合使用的可能性和机遇:我们研究了将测量体力活动和生理计量信号的可穿戴设备与生态瞬间评估(EMA)数据结合使用,以改善疼痛评估和治疗的可能性和机遇:我们考虑了横断面和纵向设计的研究,以及将疼痛评分与可穿戴设备测量结果相关联的干预性或观察性研究。此外,我们还搜索了对疼痛患者的身体活动和生理测量信号进行调查的研究:很少有研究评估了将可穿戴设备作为客观工具用于自由生活环境中的疼痛和身体功能的可能性。在已开展的研究中,大多数研究仅关注通过可穿戴加速度计测量的身体活动和功能结果。有几项研究报告称,疼痛评分与可穿戴设备发出的信号、客观测量的体力活动和身体功能之间存在良好的相关性。此外,可通过可穿戴设备测量的生理信号与疼痛之间存在已知的关联,但使用可穿戴设备测量这些信号并将其与自由生活环境中的疼痛联系起来的研究还很有限:结论:在自由生活环境中实时研究生理测量信号、身体功能和疼痛之间复杂的相互作用存在着巨大的机会。文献支持这样的假设,即可穿戴设备可用于开发与疼痛相关的可重复生物信号。可穿戴设备与 EMA 的结合很可能会开发出具有临床意义的终点,从而改变我们了解和治疗疼痛患者的方式。
Wearable Devices: Current Status and Opportunities in Pain Assessment and Management.
Introduction: We investigated the possibilities and opportunities for using wearable devices that measure physical activity and physiometric signals in conjunction with ecological momentary assessment (EMA) data to improve the assessment and treatment of pain.
Methods: We considered studies with cross-sectional and longitudinal designs as well as interventional or observational studies correlating pain scores with measures derived from wearable devices. A search was also performed on studies that investigated physical activity and physiometric signals among patients with pain.
Results: Few studies have assessed the possibility of incorporating wearable devices as objective tools for contextualizing pain and physical function in free-living environments. Of the studies that have been conducted, most focus solely on physical activity and functional outcomes as measured by a wearable accelerometer. Several studies report promising correlations between pain scores and signals derived from wearable devices, objectively measured physical activity, and physical function. In addition, there is a known association between physiologic signals that can be measured by wearable devices and pain, though studies using wearable devices to measure these signals and associate them with pain in free-living environments are limited.
Conclusion: There exists a great opportunity to study the complex interplay between physiometric signals, physical function, and pain in a real-time fashion in free-living environments. The literature supports the hypothesis that wearable devices can be used to develop reproducible biosignals that correlate with pain. The combination of wearable devices and EMA will likely lead to the development of clinically meaningful endpoints that will transform how we understand and treat pain patients.