Implantation, orientation and validation of a commercially produced heart-rate logger for use in a perciform teleost fish

Muller, Cuen; Childs, A-R; Duncan, Murray I.; Skeeles, Michael R.; James, Nicola C.; Walt, Kerry-Ann van der; Winkler, Alexander C.; Potts, Warren M.

doi:10.1093/conphys/coaa035

Cited by 12 publications

(16 citation statements)

References 34 publications

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“…Biologgers and tracking devices have been used for the past six decades and have provided the principal means of studying the interactions of many free-ranging animals with their environments, including both aquatic and terrestrial species [ 1 – 15 ]. Bears were among the first animals to be radio-collared, in part because their size enabled them to carry large battery packs unencumbered [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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

Laske

Garshelis

Iles

et al. 2021

Phil. Trans. R. Soc. B

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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 ( Ursus americanus ). In addition, we reference other research by colleagues and collaborators who have leveraged these devices in their work, including: brown bears ( Ursus arctos ), grey wolves ( Canis lupus ), moose ( Alces alces ), maned wolves ( Chrysocyon brachyurus ) and southern elephant seals ( Mirounga leonina ). 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)’.

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Section: Introductionmentioning

confidence: 99%

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

Laske

Garshelis

Iles

et al. 2021

Phil. Trans. R. Soc. B

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“…The heart rate logger was inserted into the cavity, with the two circular electrodes orientated sideways (positioned at a 45 • angle ventrally and in direct contact with the musculature once sealed; Figure 2b). This orientation has been shown to be optimal for Sparids (Muller et al, 2020). The incision was stitched using the two sutures attached to the heart rate logger and coagulating antiseptic gel was applied externally to the wound.…”

Section: Estimation Of F Hmax Indicatorsmentioning

confidence: 99%

“…Star-Oddi © heart rate loggers return heart rates (beats per minute-BPM) validated using a four-level quality index (QI 0 = great; QI 1 = good; QI 2 = fair; QI 3 = poor) (Muller et al, 2020;Skeeles et al, 2020). The QI of zero was validated with the loggers ECG output to ensure that the algorithm was working successfully and the QI's were a true representation of the quality of recordings (Skeeles et al, 2020).…”

Section: Data Processing and Statistical Analysis Of F Hmax Indicatorsmentioning

confidence: 99%

“…One approach to estimate thermal tolerance and optima of fishes is through quantifying heart rate (f H ) responses to thermal variability because increasing heart rate is a primary mechanism to fuel increased oxygen demand as temperature rises (e.g., Cooke et al, 2010;Casselman et al, 2012;Anttila et al, 2014;Drost et al, 2014;Ferreira et al, 2014;Sidhu et al, 2014;Hansen et al, 2017;Muller et al, 2020;Skeeles et al, 2020). When the maximum heart rate (f Hmax ) of fish fails to increase in proportion to the increased oxygen demand as temperatures rise, mismatches between oxygen supply and demand can arise and potentially impair energetic processes (Steinhausen et al, 2008;Farrell, 2009;Eliason et al, 2011Eliason et al, , 2013 and may be compromised at critical maximum temperatures (Sandblom et al, 2016;Eliason and Anttila, 2017;Ekström et al, 2019;Skeeles et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Marine Heatwaves Exceed Cardiac Thermal Limits of Adult Sparid Fish (Diplodus capensis, Smith 1884)

et al. 2021

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Climate change not only drives increases in global mean ocean temperatures, but also in the intensity and duration of marine heatwaves (MHWs), with potentially deleterious effects on local fishes. A first step to assess the vulnerability of fishes to MHWs is to quantify their upper thermal thresholds and contrast these limits against current and future ocean temperatures during such heating events. Heart failure is considered a primary mechanism governing the upper thermal limits of fishes and begins to occur at temperatures where heart rate fails to keep pace with thermal dependency of reaction rates. This point is identified by estimating the Arrhenius breakpoint temperature (TAB), which is the temperature where maximum heart rate (fHmax) first deviates from its exponential increase with temperature and the incremental Q10 breakpoint temperature (TQB), which is where the Q10 temperature coefficient (relative change in heart rate for a 10°C increase in temperature) for fHmax abruptly decreases during acute warming. Here we determined TAB, TQB and the temperature that causes cardiac arrhythmia (TARR) in adults of the marine sparid, Diplodus capensis, using an established technique. Using these thermal indices results, we further estimated adult D. capensis vulnerability to contemporary MHWs and increases in ocean temperatures along the warm-temperate south-east coast of South Africa. For the established technique, we stimulated fHmax with atropine and isoproterenol and used internal heart rate loggers to measure fHmax under conditions of acute warming in the laboratory. We estimated average TAB, TQB, and TARR values of 20.8°C, 21.0°C, and 28.3°C. These findings indicate that the physiology of D. capensis will be progressively compromised when temperatures exceed 21.0°C up to a thermal end-point of 28.3°C. Recent MHWs along the warm-temperate south-east coast, furthermore, are already occurring within the TARR threshold (26.6–30.0°C) for cardiac function in adult D. capensis, suggesting that this species may already be physiologically compromised by MHWs. Predicted increases in mean ocean temperatures of a conservative 2.0°C, may further result in adult D. capensis experiencing more frequent MHWs as well as a contraction of the northern range limit of this species as mean summer temperatures exceed the average TARR of 28.3°C.

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“…Biologging technology allows us to study the physiology and behaviour of wildlife in unprecedented detail [1], particularly for cryptic and elusive species [2,3]. In addition to host-specific metrics like heart rate [4][5][6][7], brain activity [8] and movement behaviour [9][10][11][12], biologging can also gather information about the abiotic environment experienced by the host (e.g. [11,13]).…”

Section: Introductionmentioning

confidence: 99%

A brief introduction to the analysis of time-series data from biologging studies

Harrison

2021

Phil. Trans. R. Soc. B

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Recent advances in tagging and biologging technology have yielded unprecedented insights into wild animal physiology. However, time-series data from such wild tracking studies present numerous analytical challenges owing to their unique nature, often exhibiting strong autocorrelation within and among samples, low samples sizes and complicated random effect structures. Gleaning robust quantitative estimates from these physiological data, and, therefore, accurate insights into the life histories of the animals they pertain to, requires careful and thoughtful application of existing statistical tools. Using a combination of both simulated and real datasets, I highlight the key pitfalls associated with analysing physiological data from wild monitoring studies, and investigate issues of optimal study design, statistical power, and model precision and accuracy. I also recommend best practice approaches for dealing with their inherent limitations. This work will provide a concise, accessible roadmap for researchers looking to maximize the yield of information from complex and hard-won biologging datasets. This article is part of the theme issue ‘Measuring physiology in free-living animals (Part II)’.

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Implantation, orientation and validation of a commercially produced heart-rate logger for use in a perciform teleost fish

Cited by 12 publications

References 34 publications

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

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

Marine Heatwaves Exceed Cardiac Thermal Limits of Adult Sparid Fish (Diplodus capensis, Smith 1884)

A brief introduction to the analysis of time-series data from biologging studies

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