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An accelerometer-derived ballistocardiogram method for detecting heart rate in free-ranging marine mammals

Physio-logging methods, which use animal-borne devices to record physiological variables, are entering a new era driven by advances in sensor development. However, existing datasets collected with traditional bio-loggers, such as accelerometers, still contain untapped eco-physiological information....

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Detalles Bibliográficos
Autores principales: Czapanskiy, Max F., Ponganis, Paul J., Fahlbusch, James A., Schmitt, T. L., Goldbogen, Jeremy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167577/
https://www.ncbi.nlm.nih.gov/pubmed/35502794
http://dx.doi.org/10.1242/jeb.243872
Descripción
Sumario:Physio-logging methods, which use animal-borne devices to record physiological variables, are entering a new era driven by advances in sensor development. However, existing datasets collected with traditional bio-loggers, such as accelerometers, still contain untapped eco-physiological information. Here, we present a computational method for extracting heart rate from high-resolution accelerometer data using a ballistocardiogram. We validated our method with simultaneous accelerometer–electrocardiogram tag deployments in a controlled setting on a killer whale (Orcinus orca) and demonstrate the predictions correspond with previously observed cardiovascular patterns in a blue whale (Balaenoptera musculus), including the magnitude of apneic bradycardia and increase in heart rate prior to and during ascent. Our ballistocardiogram method may be applied to mine heart rates from previously collected accelerometery data and expand our understanding of comparative cardiovascular physiology.