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从工程学角度看可植入式心脏监测器在自由生活动物中的发展和演变。

An engineering perspective on the development and evolution of implantable cardiac monitors in free-living animals.

机构信息

Department of Surgery, University of Minnesota, B172 Mayo, MMC 195, 420 Delaware Street SE, Minneapolis, MN 55455, USA.

Minnesota Department of Natural Resources (retired), 1201 E Hwy 2, Grand Rapids, MN 55744, USA.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2021 Aug 2;376(1830):20200217. doi: 10.1098/rstb.2020.0217. Epub 2021 Jun 14.

Abstract

The latest technologies associated with implantable physiological monitoring devices can record multiple channels of data (including: heart rates and rhythms, activity, temperature, impedance and posture), and coupled with powerful software applications, have provided novel insights into the physiology of animals in the wild. This perspective details past challenges and lessons learned from the uses and developments of implanted biologgers designed for human clinical application in our research on free-ranging American black bears (). In addition, we reference other research by colleagues and collaborators who have leveraged these devices in their work, including: brown bears (), grey wolves (), moose (), maned wolves () and southern elephant seals (). We also discuss the potentials for applications of such devices across a range of other species. To date, the devices described have been used in fifteen different wild species, with publications pending in many instances. We have focused our physiological research on the analyses of heart rates and rhythms and thus special attention will be paid to this topic. We then discuss some major expected step changes such as improvements in sensing algorithms, data storage, and the incorporation of next-generation short-range wireless telemetry. The latter provides new avenues for data transfer, and when combined with cloud-based computing, it not only provides means for big data storage but also the ability to readily leverage high-performance computing platforms using artificial intelligence and machine learning algorithms. These advances will dramatically increase both data quantity and quality and will facilitate the development of automated recognition of extreme physiological events or key behaviours of interest in a broad array of environments, thus further aiding wildlife monitoring and management. This article is part of the theme issue 'Measuring physiology in free-living animals (Part I)'.

摘要

最新技术与可植入生理监测设备相关,可以记录多个频道的数据(包括:心率和节律、活动、温度、阻抗和姿势),并结合强大的软件应用程序,为野生动物的生理学提供了新的见解。本观点详细介绍了过去在为我们研究圈养美洲黑熊()而设计的用于人类临床应用的植入生物记录器的使用和开发方面所面临的挑战和吸取的经验教训。此外,我们还参考了其他研究人员和合作者在他们的工作中利用这些设备的研究,包括:棕熊()、灰狼()、驼鹿()、鬃狼()和南方象海豹()。我们还讨论了这些设备在其他一系列物种中的应用潜力。迄今为止,已经在 15 个不同的野生物种中使用了所描述的设备,在许多情况下都有出版物即将发表。我们的生理研究集中在心率和节律的分析上,因此将特别关注这个话题。然后,我们讨论了一些主要的预期变革,例如改进感应算法、数据存储以及下一代短程无线遥测技术的结合。后者为数据传输提供了新的途径,并且与基于云的计算相结合,不仅提供了大数据存储的手段,而且还能够利用人工智能和机器学习算法轻松利用高性能计算平台。这些进展将极大地增加数据的数量和质量,并有助于开发自动化识别广泛环境中极端生理事件或关键行为的能力,从而进一步辅助野生动物监测和管理。本文是“测量自由生活动物的生理学(第一部分)”主题专刊的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41e8/8200647/82de4364d566/rstb20200217f01.jpg

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