期刊
JOURNAL OF EXPERIMENTAL BIOLOGY
卷 225, 期 10, 页码 -出版社
COMPANY BIOLOGISTS LTD
DOI: 10.1242/jeb.243872
关键词
Physio-logging; Cetacean; Electrocardiogram; Diving physiology; Cardiovascular physiology; Bio-logging
类别
资金
- Office of Naval Research [N000141912455]
- Stanford University William R. and Sara Hart Kimball Fellowship
- Stanford Data Science Scholar Fellowship
- Stanford University
- U.S. Department of Defense (DOD) [N000141912455] Funding Source: U.S. Department of Defense (DOD)
A computational method is developed to extract heart rate from high-resolution accelerometer data, providing a new approach to analyze previously untapped physiological datasets.
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.
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